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true, "multiline": false}], "width": ["INT", {"hidden": true, "default": 512, "socketless": true, "min": 64, "max": 4096, "step": 64}], "height": ["INT", {"hidden": true, "default": 512, "socketless": true, "min": 64, "max": 4096, "step": 64}], "bg_color": ["COLOR", {"default": "#000000", "socketless": true}]}, "optional": {"image": ["IMAGE", {"tooltip": "Optional base image to paint over"}]}}, "input_order": {"required": ["mask", "width", "height", "bg_color"], "optional": ["image"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "output_tooltips": [null, null], "output_matchtypes": null, "name": "Painter", "display_name": "Painter", "description": "", "python_module": "comfy_extras.nodes_painter", "category": "image", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": true}, "CurveEditor": {"input": {"required": {"curve": ["CURVE", {"default": {"points": [[0.0, 0.0], [1.0, 1.0]], "interpolation": "monotone_cubic"}, "socketless": true}]}, "optional": {"histogram": ["HISTOGRAM", {}]}}, "input_order": {"required": ["curve"], "optional": ["histogram"]}, "is_input_list": false, "output": ["CURVE"], "output_is_list": [false], "output_name": ["curve"], "output_tooltips": [null], "output_matchtypes": null, "name": "CurveEditor", "display_name": "Curve Editor", "description": "", "python_module": "comfy_extras.nodes_curve", "category": "utils", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RTDETR_detect": {"input": {"required": {"model": ["MODEL", {"display_name": "model"}], "image": ["IMAGE", {"display_name": "image"}], "threshold": ["FLOAT", {"display_name": "threshold", "default": 0.5}], "class_name": ["COMBO", {"tooltip": "Filter detections by class. Set to 'all' to disable filtering.", "default": "all", "multiselect": false, "options": ["all", "person", "bicycle", "car", "motorcycle", "airplane", "bus", "train", "truck", "boat", "traffic light", "fire hydrant", "stop sign", "parking meter", "bench", "bird", "cat", "dog", "horse", "sheep", "cow", "elephant", "bear", "zebra", "giraffe", "backpack", "umbrella", "handbag", "tie", "suitcase", "frisbee", "skis", "snowboard", "sports ball", "kite", "baseball bat", "baseball glove", "skateboard", "surfboard", "tennis racket", "bottle", "wine glass", "cup", "fork", "knife", "spoon", "bowl", "banana", "apple", "sandwich", "orange", "broccoli", "carrot", "hot dog", "pizza", "donut", "cake", "chair", "couch", "potted plant", "bed", "dining table", "toilet", "tv", "laptop", "mouse", "remote", "keyboard", "cell phone", "microwave", "oven", "toaster", "sink", "refrigerator", "book", "clock", "vase", "scissors", "teddy bear", "hair drier", "toothbrush"]}], "max_detections": ["INT", {"display_name": "max_detections", "tooltip": "Maximum number of detections to return per image. In order of descending confidence score.", "default": 100}]}}, "input_order": {"required": ["model", "image", "threshold", "class_name", "max_detections"]}, "is_input_list": false, "output": ["BOUNDING_BOX"], "output_is_list": [false], "output_name": ["bboxes"], "output_tooltips": [null], "output_matchtypes": null, "name": "RTDETR_detect", "display_name": "RT-DETR Detect", "description": "", "python_module": "comfy_extras.nodes_rtdetr", "category": "detection/", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": ["bbox", "bounding box", "object detection", "coco"], "essentials_category": null, "has_intermediate_output": false}, "DrawBBoxes": {"input": {"required": {"bboxes": ["BOUNDING_BOX", {"default": {"x": 0, "y": 0, "width": 512, "height": 512}, "socketless": true, "forceInput": true}]}, "optional": {"image": ["IMAGE", {}]}}, "input_order": {"required": ["bboxes"], "optional": ["image"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["out_image"], "output_tooltips": [null], "output_matchtypes": null, "name": "DrawBBoxes", "display_name": "Draw BBoxes", "description": "", "python_module": "comfy_extras.nodes_rtdetr", "category": "detection/", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": ["bbox", "bounding box", "object detection", "rt_detr", "visualize detections", "coco"], "essentials_category": null, "has_intermediate_output": false}, "FluxProUltraImageNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation", "default": "", "multiline": true}], "prompt_upsampling": ["BOOLEAN", {"tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", "advanced": true, "default": false}], "seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}], "aspect_ratio": ["STRING", {"tooltip": "Aspect ratio of image; must be between 1:4 and 4:1.", "default": "16:9", "multiline": false}], "raw": ["BOOLEAN", {"tooltip": "When True, generate less processed, more natural-looking images.", "default": false}]}, "optional": {"image_prompt": ["IMAGE", {}], "image_prompt_strength": ["FLOAT", {"tooltip": "Blend between the prompt and the image prompt.", "default": 0.1, "min": 0.0, "max": 1.0, "step": 0.01}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "prompt_upsampling", "seed", "aspect_ratio", "raw"], "optional": ["image_prompt", "image_prompt_strength"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "FluxProUltraImageNode", "display_name": "Flux 1.1 [pro] Ultra Image", "description": "Generates images using Flux Pro 1.1 Ultra via api based on prompt and resolution.", "python_module": "comfy_api_nodes.nodes_bfl", "category": "api node/image/BFL", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.06}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "FluxKontextProImageNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation - specify what and how to edit.", "default": "", "multiline": true}], "aspect_ratio": ["STRING", {"tooltip": "Aspect ratio of image; must be between 1:4 and 4:1.", "default": "16:9", "multiline": false}], "guidance": ["FLOAT", {"tooltip": "Guidance strength for the image generation process", "default": 3.0, "min": 0.1, "max": 99.0, "step": 0.1}], "steps": ["INT", {"tooltip": "Number of steps for the image generation process", "default": 50, "min": 1, "max": 150}], "seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 1234, "min": 0, "max": 18446744073709551615, "control_after_generate": true}], "prompt_upsampling": ["BOOLEAN", {"tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", "advanced": true, "default": false}]}, "optional": {"input_image": ["IMAGE", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "aspect_ratio", "guidance", "steps", "seed", "prompt_upsampling"], "optional": ["input_image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "FluxKontextProImageNode", "display_name": "Flux.1 Kontext [pro] Image", "description": "Edits images using Flux.1 Kontext [pro] via api based on prompt and aspect ratio.", "python_module": "comfy_api_nodes.nodes_bfl", "category": "api node/image/BFL", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "FluxKontextMaxImageNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation - specify what and how to edit.", "default": "", "multiline": true}], "aspect_ratio": ["STRING", {"tooltip": "Aspect ratio of image; must be between 1:4 and 4:1.", "default": "16:9", "multiline": false}], "guidance": ["FLOAT", {"tooltip": "Guidance strength for the image generation process", "default": 3.0, "min": 0.1, "max": 99.0, "step": 0.1}], "steps": ["INT", {"tooltip": "Number of steps for the image generation process", "default": 50, "min": 1, "max": 150}], "seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 1234, "min": 0, "max": 18446744073709551615, "control_after_generate": true}], "prompt_upsampling": ["BOOLEAN", {"tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", "advanced": true, "default": false}]}, "optional": {"input_image": ["IMAGE", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "aspect_ratio", "guidance", "steps", "seed", "prompt_upsampling"], "optional": ["input_image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "FluxKontextMaxImageNode", "display_name": "Flux.1 Kontext [max] Image", "description": "Edits images using Flux.1 Kontext [pro] via api based on prompt and aspect ratio.", "python_module": "comfy_api_nodes.nodes_bfl", "category": "api node/image/BFL", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "FluxProExpandNode": {"input": {"required": {"image": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "Prompt for the image generation", "default": "", "multiline": true}], "prompt_upsampling": ["BOOLEAN", {"tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", "advanced": true, "default": false}], "top": ["INT", {"tooltip": "Number of pixels to expand at the top of the image", "default": 0, "min": 0, "max": 2048}], "bottom": ["INT", {"tooltip": "Number of pixels to expand at the bottom of the image", "default": 0, "min": 0, "max": 2048}], "left": ["INT", {"tooltip": "Number of pixels to expand at the left of the image", "default": 0, "min": 0, "max": 2048}], "right": ["INT", {"tooltip": "Number of pixels to expand at the right of the image", "default": 0, "min": 0, "max": 2048}], "guidance": ["FLOAT", {"tooltip": "Guidance strength for the image generation process", "default": 60, "min": 1.5, "max": 100}], "steps": ["INT", {"tooltip": "Number of steps for the image generation process", "default": 50, "min": 15, "max": 50}], "seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "prompt", "prompt_upsampling", "top", "bottom", "left", "right", "guidance", "steps", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "FluxProExpandNode", "display_name": "Flux.1 Expand Image", "description": "Outpaints image based on prompt.", "python_module": "comfy_api_nodes.nodes_bfl", "category": "api node/image/BFL", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.05}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "FluxProFillNode": {"input": {"required": {"image": ["IMAGE", {}], "mask": ["MASK", {}], "prompt": ["STRING", {"tooltip": "Prompt for the image generation", "default": "", "multiline": true}], "prompt_upsampling": ["BOOLEAN", {"tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation, but results are nondeterministic (same seed will not produce exactly the same result).", "advanced": true, "default": false}], "guidance": ["FLOAT", {"tooltip": "Guidance strength for the image generation process", "default": 60, "min": 1.5, "max": 100}], "steps": ["INT", {"tooltip": "Number of steps for the image generation process", "default": 50, "min": 15, "max": 50}], "seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "mask", "prompt", "prompt_upsampling", "guidance", "steps", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "FluxProFillNode", "display_name": "Flux.1 Fill Image", "description": "Inpaints image based on mask and prompt.", "python_module": "comfy_api_nodes.nodes_bfl", "category": "api node/image/BFL", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.05}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Flux2ProImageNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation or edit", "default": "", "multiline": true}], "width": ["INT", {"default": 1024, "min": 256, "max": 2048, "step": 32}], "height": ["INT", {"default": 768, "min": 256, "max": 2048, "step": 32}], "seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}], "prompt_upsampling": ["BOOLEAN", {"tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.", "advanced": true, "default": true}]}, "optional": {"images": ["IMAGE", {"tooltip": "Up to 9 images to be used as references."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "width", "height", "seed", "prompt_upsampling"], "optional": ["images"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "Flux2ProImageNode", "display_name": "Flux.2 [pro] Image", "description": "Generates images synchronously based on prompt and resolution.", "python_module": "comfy_api_nodes.nodes_bfl", "category": "api node/image/BFL", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "width", "type": "INT"}, {"name": "height", "type": "INT"}], "inputs": ["images"], "input_groups": []}, "expr": "\n    (\n      $MP := 1024 * 1024;\n      $outMP := $max([1, $floor(((widgets.width * widgets.height) + $MP - 1) / $MP)]);\n      $outputCost := 0.03 + 0.015 * ($outMP - 1);\n      inputs.images.connected\n        ? {\n            \"type\":\"range_usd\",\n            \"min_usd\": $outputCost + 0.015,\n            \"max_usd\": $outputCost + 0.12,\n            \"format\": { \"approximate\": true }\n          }\n        : {\"type\":\"usd\",\"usd\": $outputCost}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Flux2MaxImageNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation or edit", "default": "", "multiline": true}], "width": ["INT", {"default": 1024, "min": 256, "max": 2048, "step": 32}], "height": ["INT", {"default": 768, "min": 256, "max": 2048, "step": 32}], "seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}], "prompt_upsampling": ["BOOLEAN", {"tooltip": "Whether to perform upsampling on the prompt. If active, automatically modifies the prompt for more creative generation.", "advanced": true, "default": true}]}, "optional": {"images": ["IMAGE", {"tooltip": "Up to 9 images to be used as references."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "width", "height", "seed", "prompt_upsampling"], "optional": ["images"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "Flux2MaxImageNode", "display_name": "Flux.2 [max] Image", "description": "Generates images synchronously based on prompt and resolution.", "python_module": "comfy_api_nodes.nodes_bfl", "category": "api node/image/BFL", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "width", "type": "INT"}, {"name": "height", "type": "INT"}], "inputs": ["images"], "input_groups": []}, "expr": "\n    (\n      $MP := 1024 * 1024;\n      $outMP := $max([1, $floor(((widgets.width * widgets.height) + $MP - 1) / $MP)]);\n      $outputCost := 0.07 + 0.03 * ($outMP - 1);\n\n      inputs.images.connected\n        ? {\n            \"type\":\"range_usd\",\n            \"min_usd\": $outputCost + 0.03,\n            \"max_usd\": $outputCost + 0.24,\n            \"format\": { \"approximate\": true }\n          }\n        : {\"type\":\"usd\",\"usd\": $outputCost}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "BriaImageEditNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["FIBO"]}], "image": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "Instruction to edit image", "default": "", "multiline": true}], "negative_prompt": ["STRING", {"default": "", "multiline": true}], "structured_prompt": ["STRING", {"tooltip": "A string containing the structured edit prompt in JSON format. Use this instead of usual prompt for precise, programmatic control.", "default": "", "multiline": true}], "seed": ["INT", {"default": 1, "min": 1, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "guidance_scale": ["FLOAT", {"tooltip": "Higher value makes the image follow the prompt more closely.", "default": 3, "min": 3, "max": 5, "step": 0.01, "display": "number"}], "steps": ["INT", {"default": 50, "min": 20, "max": 50, "step": 1, "display": "number"}], "moderation": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Moderation settings", "options": [{"key": "false", "inputs": {"required": {}}}, {"key": "true", "inputs": {"required": {"prompt_content_moderation": ["BOOLEAN", {"default": false}], "visual_input_moderation": ["BOOLEAN", {"default": false}], "visual_output_moderation": ["BOOLEAN", {"default": true}]}}}]}]}, "optional": {"mask": ["MASK", {"tooltip": "If omitted, the edit applies to the entire image."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "image", "prompt", "negative_prompt", "structured_prompt", "seed", "guidance_scale", "steps", "moderation"], "optional": ["mask"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE", "STRING"], "output_is_list": [false, false], "output_name": ["IMAGE", "structured_prompt"], "output_tooltips": [null, null], "output_matchtypes": null, "name": "BriaImageEditNode", "display_name": "Bria FIBO Image Edit", "description": "Edit images using Bria latest model", "python_module": "comfy_api_nodes.nodes_bria", "category": "api node/image/Bria", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.04}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "BriaRemoveImageBackground": {"input": {"required": {"image": ["IMAGE", {}], "moderation": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Moderation settings", "options": [{"key": "false", "inputs": {"required": {}}}, {"key": "true", "inputs": {"required": {"visual_input_moderation": ["BOOLEAN", {"default": false}], "visual_output_moderation": ["BOOLEAN", {"default": true}]}}}]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "moderation", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "BriaRemoveImageBackground", "display_name": "Bria Remove Image Background", "description": "Remove the background from an image using Bria RMBG 2.0.", "python_module": "comfy_api_nodes.nodes_bria", "category": "api node/image/Bria", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.018}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "BriaRemoveVideoBackground": {"input": {"required": {"video": ["VIDEO", {}], "background_color": ["COMBO", {"tooltip": "Background color for the output video.", "multiselect": false, "options": ["Black", "White", "Gray", "Red", "Green", "Blue", "Yellow", "Cyan", "Magenta", "Orange"]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["video", "background_color", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "BriaRemoveVideoBackground", "display_name": "Bria Remove Video Background", "description": "Remove the background from a video using Bria. ", "python_module": "comfy_api_nodes.nodes_bria", "category": "api node/video/Bria", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.14,\"format\":{\"suffix\":\"/second\"}}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ByteDanceImageNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["seedream-3-0-t2i-250415"]}], "prompt": ["STRING", {"tooltip": "The text prompt used to generate the image", "multiline": true}], "size_preset": ["COMBO", {"tooltip": "Pick a recommended size. Select Custom to use the width and height below", "multiselect": false, "options": ["1024x1024 (1:1)", "864x1152 (3:4)", "1152x864 (4:3)", "1280x720 (16:9)", "720x1280 (9:16)", "832x1248 (2:3)", "1248x832 (3:2)", "1512x648 (21:9)", "2048x2048 (1:1)", "Custom"]}], "width": ["INT", {"tooltip": "Custom width for image. Value is working only if `size_preset` is set to `Custom`", "default": 1024, "min": 512, "max": 2048, "step": 64}], "height": ["INT", {"tooltip": "Custom height for image. Value is working only if `size_preset` is set to `Custom`", "default": 1024, "min": 512, "max": 2048, "step": 64}]}, "optional": {"seed": ["INT", {"tooltip": "Seed to use for generation", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "guidance_scale": ["FLOAT", {"tooltip": "Higher value makes the image follow the prompt more closely", "default": 2.5, "min": 1.0, "max": 10.0, "step": 0.01, "display": "number"}], "watermark": ["BOOLEAN", {"tooltip": "Whether to add an \"AI generated\" watermark to the image", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "size_preset", "width", "height"], "optional": ["seed", "guidance_scale", "watermark"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "ByteDanceImageNode", "display_name": "ByteDance Image", "description": "Generate images using ByteDance models via api based on prompt", "python_module": "comfy_api_nodes.nodes_bytedance", "category": "api node/image/ByteDance", "output_node": false, "deprecated": true, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.03}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ByteDanceSeedreamNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["seedream 5.0 lite", "seedream-4-5-251128", "seedream-4-0-250828"]}], "prompt": ["STRING", {"tooltip": "Text prompt for creating or editing an image.", "default": "", "multiline": true}], "size_preset": ["COMBO", {"tooltip": "Pick a recommended size. Select Custom to use the width and height below.", "multiselect": false, "options": ["2048x2048 (1:1)", "2304x1728 (4:3)", "1728x2304 (3:4)", "2560x1440 (16:9)", "1440x2560 (9:16)", "2496x1664 (3:2)", "1664x2496 (2:3)", "3024x1296 (21:9)", "3072x3072 (1:1)", "4096x4096 (1:1)", "Custom"]}]}, "optional": {"image": ["IMAGE", {"tooltip": "Input image(s) for image-to-image generation. Reference image(s) for single or multi-reference generation."}], "width": ["INT", {"tooltip": "Custom width for image. Value is working only if `size_preset` is set to `Custom`", "default": 2048, "min": 1024, "max": 6240, "step": 2}], "height": ["INT", {"tooltip": "Custom height for image. Value is working only if `size_preset` is set to `Custom`", "default": 2048, "min": 1024, "max": 4992, "step": 2}], "sequential_image_generation": ["COMBO", {"tooltip": "Group image generation mode. 'disabled' generates a single image. 'auto' lets the model decide whether to generate multiple related images (e.g., story scenes, character variations).", "multiselect": false, "options": ["disabled", "auto"]}], "max_images": ["INT", {"tooltip": "Maximum number of images to generate when sequential_image_generation='auto'. Total images (input + generated) cannot exceed 15.", "default": 1, "min": 1, "max": 15, "step": 1, "display": "number"}], "seed": ["INT", {"tooltip": "Seed to use for generation.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "watermark": ["BOOLEAN", {"tooltip": "Whether to add an \"AI generated\" watermark to the image.", "advanced": true, "default": false}], "fail_on_partial": ["BOOLEAN", {"tooltip": "If enabled, abort execution if any requested images are missing or return an error.", "advanced": true, "default": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "size_preset"], "optional": ["image", "width", "height", "sequential_image_generation", "max_images", "seed", "watermark", "fail_on_partial"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "ByteDanceSeedreamNode", "display_name": "ByteDance Seedream 4.5 & 5.0", "description": "Unified text-to-image generation and precise single-sentence editing at up to 4K resolution.", "python_module": "comfy_api_nodes.nodes_bytedance", "category": "api node/image/ByteDance", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $price := $contains(widgets.model, \"5.0 lite\") ? 0.035 :\n                            $contains(widgets.model, \"4-5\") ? 0.04 : 0.03;\n                  {\n                    \"type\":\"usd\",\n                    \"usd\": $price,\n                    \"format\": { \"suffix\":\" x images/Run\", \"approximate\": true }\n                  }\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ByteDanceTextToVideoNode": {"input": {"required": {"model": ["COMBO", {"default": "seedance-1-0-pro-fast-251015", "multiselect": false, "options": ["seedance-1-5-pro-251215", "seedance-1-0-pro-250528", "seedance-1-0-lite-t2v-250428", "seedance-1-0-pro-fast-251015"]}], "prompt": ["STRING", {"tooltip": "The text prompt used to generate the video.", "multiline": true}], "resolution": ["COMBO", {"tooltip": "The resolution of the output video.", "multiselect": false, "options": ["480p", "720p", "1080p"]}], "aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio of the output video.", "multiselect": false, "options": ["16:9", "4:3", "1:1", "3:4", "9:16", "21:9"]}], "duration": ["INT", {"tooltip": "The duration of the output video in seconds.", "default": 5, "min": 3, "max": 12, "step": 1, "display": "slider"}]}, "optional": {"seed": ["INT", {"tooltip": "Seed to use for generation.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "camera_fixed": ["BOOLEAN", {"tooltip": "Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect.", "advanced": true, "default": false}], "watermark": ["BOOLEAN", {"tooltip": "Whether to add an \"AI generated\" watermark to the video.", "advanced": true, "default": false}], "generate_audio": ["BOOLEAN", {"tooltip": "This parameter is ignored for any model except seedance-1-5-pro.", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "resolution", "aspect_ratio", "duration"], "optional": ["seed", "camera_fixed", "watermark", "generate_audio"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ByteDanceTextToVideoNode", "display_name": "ByteDance Text to Video", "description": "Generate video using ByteDance models via api based on prompt", "python_module": "comfy_api_nodes.nodes_bytedance", "category": "api node/video/ByteDance", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $priceByModel := {\n        \"seedance-1-5-pro\": {\n          \"480p\":[0.12,0.12],\n          \"720p\":[0.26,0.26],\n          \"1080p\":[0.58,0.59]\n        },\n        \"seedance-1-0-pro\": {\n          \"480p\":[0.23,0.24],\n          \"720p\":[0.51,0.56],\n          \"1080p\":[1.18,1.22]\n        },\n        \"seedance-1-0-pro-fast\": {\n          \"480p\":[0.09,0.1],\n          \"720p\":[0.21,0.23],\n          \"1080p\":[0.47,0.49]\n        },\n        \"seedance-1-0-lite\": {\n          \"480p\":[0.17,0.18],\n          \"720p\":[0.37,0.41],\n          \"1080p\":[0.85,0.88]\n        }\n      };\n      $model := widgets.model;\n      $modelKey :=\n        $contains($model, \"seedance-1-5-pro\")      ? \"seedance-1-5-pro\" :\n        $contains($model, \"seedance-1-0-pro-fast\") ? \"seedance-1-0-pro-fast\" :\n        $contains($model, \"seedance-1-0-pro\")      ? \"seedance-1-0-pro\" :\n        \"seedance-1-0-lite\";\n      $resolution := widgets.resolution;\n      $resKey :=\n        $contains($resolution, \"1080\") ? \"1080p\" :\n        $contains($resolution, \"720\")  ? \"720p\" :\n        \"480p\";\n      $modelPrices := $lookup($priceByModel, $modelKey);\n      $baseRange := $lookup($modelPrices, $resKey);\n      $min10s := $baseRange[0];\n      $max10s := $baseRange[1];\n      $scale := widgets.duration / 10;\n      $audioMultiplier := ($modelKey = \"seedance-1-5-pro\" and widgets.generate_audio) ? 2 : 1;\n      $minCost := $min10s * $scale * $audioMultiplier;\n      $maxCost := $max10s * $scale * $audioMultiplier;\n      ($minCost = $maxCost)\n        ? {\"type\":\"usd\",\"usd\": $minCost, \"format\": { \"approximate\": true }}\n        : {\"type\":\"range_usd\",\"min_usd\": $minCost, \"max_usd\": $maxCost, \"format\": { \"approximate\": true }}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ByteDanceImageToVideoNode": {"input": {"required": {"model": ["COMBO", {"default": "seedance-1-0-pro-fast-251015", "multiselect": false, "options": ["seedance-1-5-pro-251215", "seedance-1-0-pro-250528", "seedance-1-0-lite-i2v-250428", "seedance-1-0-pro-fast-251015"]}], "prompt": ["STRING", {"tooltip": "The text prompt used to generate the video.", "multiline": true}], "image": ["IMAGE", {"tooltip": "First frame to be used for the video."}], "resolution": ["COMBO", {"tooltip": "The resolution of the output video.", "multiselect": false, "options": ["480p", "720p", "1080p"]}], "aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio of the output video.", "multiselect": false, "options": ["adaptive", "16:9", "4:3", "1:1", "3:4", "9:16", "21:9"]}], "duration": ["INT", {"tooltip": "The duration of the output video in seconds.", "default": 5, "min": 3, "max": 12, "step": 1, "display": "slider"}]}, "optional": {"seed": ["INT", {"tooltip": "Seed to use for generation.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "camera_fixed": ["BOOLEAN", {"tooltip": "Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect.", "advanced": true, "default": false}], "watermark": ["BOOLEAN", {"tooltip": "Whether to add an \"AI generated\" watermark to the video.", "advanced": true, "default": false}], "generate_audio": ["BOOLEAN", {"tooltip": "This parameter is ignored for any model except seedance-1-5-pro.", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "image", "resolution", "aspect_ratio", "duration"], "optional": ["seed", "camera_fixed", "watermark", "generate_audio"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ByteDanceImageToVideoNode", "display_name": "ByteDance Image to Video", "description": "Generate video using ByteDance models via api based on image and prompt", "python_module": "comfy_api_nodes.nodes_bytedance", "category": "api node/video/ByteDance", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $priceByModel := {\n        \"seedance-1-5-pro\": {\n          \"480p\":[0.12,0.12],\n          \"720p\":[0.26,0.26],\n          \"1080p\":[0.58,0.59]\n        },\n        \"seedance-1-0-pro\": {\n          \"480p\":[0.23,0.24],\n          \"720p\":[0.51,0.56],\n          \"1080p\":[1.18,1.22]\n        },\n        \"seedance-1-0-pro-fast\": {\n          \"480p\":[0.09,0.1],\n          \"720p\":[0.21,0.23],\n          \"1080p\":[0.47,0.49]\n        },\n        \"seedance-1-0-lite\": {\n          \"480p\":[0.17,0.18],\n          \"720p\":[0.37,0.41],\n          \"1080p\":[0.85,0.88]\n        }\n      };\n      $model := widgets.model;\n      $modelKey :=\n        $contains($model, \"seedance-1-5-pro\")      ? \"seedance-1-5-pro\" :\n        $contains($model, \"seedance-1-0-pro-fast\") ? \"seedance-1-0-pro-fast\" :\n        $contains($model, \"seedance-1-0-pro\")      ? \"seedance-1-0-pro\" :\n        \"seedance-1-0-lite\";\n      $resolution := widgets.resolution;\n      $resKey :=\n        $contains($resolution, \"1080\") ? \"1080p\" :\n        $contains($resolution, \"720\")  ? \"720p\" :\n        \"480p\";\n      $modelPrices := $lookup($priceByModel, $modelKey);\n      $baseRange := $lookup($modelPrices, $resKey);\n      $min10s := $baseRange[0];\n      $max10s := $baseRange[1];\n      $scale := widgets.duration / 10;\n      $audioMultiplier := ($modelKey = \"seedance-1-5-pro\" and widgets.generate_audio) ? 2 : 1;\n      $minCost := $min10s * $scale * $audioMultiplier;\n      $maxCost := $max10s * $scale * $audioMultiplier;\n      ($minCost = $maxCost)\n        ? {\"type\":\"usd\",\"usd\": $minCost, \"format\": { \"approximate\": true }}\n        : {\"type\":\"range_usd\",\"min_usd\": $minCost, \"max_usd\": $maxCost, \"format\": { \"approximate\": true }}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ByteDanceFirstLastFrameNode": {"input": {"required": {"model": ["COMBO", {"default": "seedance-1-0-lite-i2v-250428", "multiselect": false, "options": ["seedance-1-5-pro-251215", "seedance-1-0-pro-250528", "seedance-1-0-lite-i2v-250428"]}], "prompt": ["STRING", {"tooltip": "The text prompt used to generate the video.", "multiline": true}], "first_frame": ["IMAGE", {"tooltip": "First frame to be used for the video."}], "last_frame": ["IMAGE", {"tooltip": "Last frame to be used for the video."}], "resolution": ["COMBO", {"tooltip": "The resolution of the output video.", "multiselect": false, "options": ["480p", "720p", "1080p"]}], "aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio of the output video.", "multiselect": false, "options": ["adaptive", "16:9", "4:3", "1:1", "3:4", "9:16", "21:9"]}], "duration": ["INT", {"tooltip": "The duration of the output video in seconds.", "default": 5, "min": 3, "max": 12, "step": 1, "display": "slider"}]}, "optional": {"seed": ["INT", {"tooltip": "Seed to use for generation.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "camera_fixed": ["BOOLEAN", {"tooltip": "Specifies whether to fix the camera. The platform appends an instruction to fix the camera to your prompt, but does not guarantee the actual effect.", "advanced": true, "default": false}], "watermark": ["BOOLEAN", {"tooltip": "Whether to add an \"AI generated\" watermark to the video.", "advanced": true, "default": false}], "generate_audio": ["BOOLEAN", {"tooltip": "This parameter is ignored for any model except seedance-1-5-pro.", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "first_frame", "last_frame", "resolution", "aspect_ratio", "duration"], "optional": ["seed", "camera_fixed", "watermark", "generate_audio"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ByteDanceFirstLastFrameNode", "display_name": "ByteDance First-Last-Frame to Video", "description": "Generate video using prompt and first and last frames.", "python_module": "comfy_api_nodes.nodes_bytedance", "category": "api node/video/ByteDance", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $priceByModel := {\n        \"seedance-1-5-pro\": {\n          \"480p\":[0.12,0.12],\n          \"720p\":[0.26,0.26],\n          \"1080p\":[0.58,0.59]\n        },\n        \"seedance-1-0-pro\": {\n          \"480p\":[0.23,0.24],\n          \"720p\":[0.51,0.56],\n          \"1080p\":[1.18,1.22]\n        },\n        \"seedance-1-0-pro-fast\": {\n          \"480p\":[0.09,0.1],\n          \"720p\":[0.21,0.23],\n          \"1080p\":[0.47,0.49]\n        },\n        \"seedance-1-0-lite\": {\n          \"480p\":[0.17,0.18],\n          \"720p\":[0.37,0.41],\n          \"1080p\":[0.85,0.88]\n        }\n      };\n      $model := widgets.model;\n      $modelKey :=\n        $contains($model, \"seedance-1-5-pro\")      ? \"seedance-1-5-pro\" :\n        $contains($model, \"seedance-1-0-pro-fast\") ? \"seedance-1-0-pro-fast\" :\n        $contains($model, \"seedance-1-0-pro\")      ? \"seedance-1-0-pro\" :\n        \"seedance-1-0-lite\";\n      $resolution := widgets.resolution;\n      $resKey :=\n        $contains($resolution, \"1080\") ? \"1080p\" :\n        $contains($resolution, \"720\")  ? \"720p\" :\n        \"480p\";\n      $modelPrices := $lookup($priceByModel, $modelKey);\n      $baseRange := $lookup($modelPrices, $resKey);\n      $min10s := $baseRange[0];\n      $max10s := $baseRange[1];\n      $scale := widgets.duration / 10;\n      $audioMultiplier := ($modelKey = \"seedance-1-5-pro\" and widgets.generate_audio) ? 2 : 1;\n      $minCost := $min10s * $scale * $audioMultiplier;\n      $maxCost := $max10s * $scale * $audioMultiplier;\n      ($minCost = $maxCost)\n        ? {\"type\":\"usd\",\"usd\": $minCost, \"format\": { \"approximate\": true }}\n        : {\"type\":\"range_usd\",\"min_usd\": $minCost, \"max_usd\": $maxCost, \"format\": { \"approximate\": true }}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ByteDanceImageReferenceNode": {"input": {"required": {"model": ["COMBO", {"default": "seedance-1-0-lite-i2v-250428", "multiselect": false, "options": ["seedance-1-0-pro-250528", "seedance-1-0-lite-i2v-250428"]}], "prompt": ["STRING", {"tooltip": "The text prompt used to generate the video.", "multiline": true}], "images": ["IMAGE", {"tooltip": "One to four images."}], "resolution": ["COMBO", {"tooltip": "The resolution of the output video.", "multiselect": false, "options": ["480p", "720p"]}], "aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio of the output video.", "multiselect": false, "options": ["adaptive", "16:9", "4:3", "1:1", "3:4", "9:16", "21:9"]}], "duration": ["INT", {"tooltip": "The duration of the output video in seconds.", "default": 5, "min": 3, "max": 12, "step": 1, "display": "slider"}]}, "optional": {"seed": ["INT", {"tooltip": "Seed to use for generation.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "watermark": ["BOOLEAN", {"tooltip": "Whether to add an \"AI generated\" watermark to the video.", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "images", "resolution", "aspect_ratio", "duration"], "optional": ["seed", "watermark"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ByteDanceImageReferenceNode", "display_name": "ByteDance Reference Images to Video", "description": "Generate video using prompt and reference images.", "python_module": "comfy_api_nodes.nodes_bytedance", "category": "api node/video/ByteDance", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $priceByModel := {\n                    \"seedance-1-0-pro\": {\n                      \"480p\":[0.23,0.24],\n                      \"720p\":[0.51,0.56]\n                    },\n                    \"seedance-1-0-lite\": {\n                      \"480p\":[0.17,0.18],\n                      \"720p\":[0.37,0.41]\n                    }\n                  };\n                  $model := widgets.model;\n                  $modelKey :=\n                    $contains($model, \"seedance-1-0-pro\")  ? \"seedance-1-0-pro\" :\n                    \"seedance-1-0-lite\";\n                  $resolution := widgets.resolution;\n                  $resKey :=\n                    $contains($resolution, \"720\") ? \"720p\" :\n                    \"480p\";\n                  $modelPrices := $lookup($priceByModel, $modelKey);\n                  $baseRange := $lookup($modelPrices, $resKey);\n                  $min10s := $baseRange[0];\n                  $max10s := $baseRange[1];\n                  $scale := widgets.duration / 10;\n                  $minCost := $min10s * $scale;\n                  $maxCost := $max10s * $scale;\n                  ($minCost = $maxCost)\n                    ? {\"type\":\"usd\",\"usd\": $minCost}\n                    : {\"type\":\"range_usd\",\"min_usd\": $minCost, \"max_usd\": $maxCost}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ElevenLabsSpeechToText": {"input": {"required": {"audio": ["AUDIO", {"tooltip": "Audio to transcribe."}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model to use for transcription.", "options": [{"key": "scribe_v2", "inputs": {"required": {"tag_audio_events": ["BOOLEAN", {"tooltip": "Annotate sounds like (laughter), (music), etc. in transcript.", "default": false}], "diarize": ["BOOLEAN", {"tooltip": "Annotate which speaker is talking.", "default": false}], "diarization_threshold": ["FLOAT", {"tooltip": "Speaker separation sensitivity. Lower values are more sensitive to speaker changes.", "default": 0.22, "min": 0.1, "max": 0.4, "step": 0.01, "display": "slider"}], "temperature": ["FLOAT", {"tooltip": "Randomness control. 0.0 uses model default. Higher values increase randomness.", "default": 0.0, "min": 0.0, "max": 2.0, "step": 0.01, "display": "slider"}], "timestamps_granularity": ["COMBO", {"tooltip": "Timing precision for transcript words.", "default": "word", "multiselect": false, "options": ["word", "character", "none"]}]}}}]}], "language_code": ["STRING", {"tooltip": "ISO-639-1 or ISO-639-3 language code (e.g., 'en', 'es', 'fra'). Leave empty for automatic detection.", "default": "", "multiline": false}], "num_speakers": ["INT", {"tooltip": "Maximum number of speakers to predict. Set to 0 for automatic detection.", "default": 0, "min": 0, "max": 32, "display": "slider"}], "seed": ["INT", {"tooltip": "Seed for reproducibility (determinism not guaranteed).", "default": 1, "min": 0, "max": 2147483647}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["audio", "model", "language_code", "num_speakers", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["STRING", "STRING", "STRING"], "output_is_list": [false, false, false], "output_name": ["text", "language_code", "words_json"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "ElevenLabsSpeechToText", "display_name": "ElevenLabs Speech to Text", "description": "Transcribe audio to text. Supports automatic language detection, speaker diarization, and audio event tagging.", "python_module": "comfy_api_nodes.nodes_elevenlabs", "category": "api node/audio/ElevenLabs", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.0073,\"format\":{\"approximate\":true,\"suffix\":\"/minute\"}}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ElevenLabsVoiceSelector": {"input": {"required": {"voice": ["COMBO", {"tooltip": "Choose a voice from the predefined ElevenLabs voices.", "multiselect": false, "options": ["Roger (male, american)", "Sarah (female, american)", "Laura (female, american)", "Charlie (male, australian)", "George (male, british)", "Callum (male, american)", "River (neutral, american)", "Harry (male, american)", "Liam (male, american)", "Alice (female, british)", "Matilda (female, american)", "Will (male, american)", "Jessica (female, american)", "Eric (male, american)", "Bella (female, american)", "Chris (male, american)", "Brian (male, american)", "Daniel (male, british)", "Lily (female, british)", "Adam (male, american)", "Bill (male, american)"]}]}}, "input_order": {"required": ["voice"]}, "is_input_list": false, "output": ["ELEVENLABS_VOICE"], "output_is_list": [false], "output_name": ["voice"], "output_tooltips": [null], "output_matchtypes": null, "name": "ElevenLabsVoiceSelector", "display_name": "ElevenLabs Voice Selector", "description": "Select a predefined ElevenLabs voice for text-to-speech generation.", "python_module": "comfy_api_nodes.nodes_elevenlabs", "category": "api node/audio/ElevenLabs", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ElevenLabsTextToSpeech": {"input": {"required": {"voice": ["ELEVENLABS_VOICE", {"tooltip": "Voice to use for speech synthesis. 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Higher values make the sound follow the text more closely.", "default": 0.3, "min": 0.0, "max": 1.0, "step": 0.01, "display": "slider"}]}}}]}], "output_format": ["COMBO", {"tooltip": "Audio output format.", "multiselect": false, "options": ["mp3_44100_192", "opus_48000_192"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["text", "model", "output_format"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["AUDIO"], "output_is_list": [false], "output_name": ["AUDIO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ElevenLabsTextToSoundEffects", "display_name": "ElevenLabs Text to Sound Effects", "description": "Generate sound effects from text descriptions.", "python_module": "comfy_api_nodes.nodes_elevenlabs", "category": "api node/audio/ElevenLabs", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.14,\"format\":{\"approximate\":true,\"suffix\":\"/minute\"}}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ElevenLabsInstantVoiceClone": {"input": {"required": {"files": ["COMFY_AUTOGROW_V3", {"tooltip": "Audio recordings for voice cloning.", "template": {"input": {"required": {"audio": ["AUDIO", {}]}}, "prefix": "audio", "min": 1, "max": 8}}], "remove_background_noise": ["BOOLEAN", {"tooltip": "Remove background noise from voice samples using audio isolation.", "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["files", "remove_background_noise"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["ELEVENLABS_VOICE"], "output_is_list": [false], "output_name": ["voice"], "output_tooltips": [null], "output_matchtypes": null, "name": "ElevenLabsInstantVoiceClone", "display_name": "ElevenLabs Instant Voice Clone", "description": "Create a cloned voice from audio samples. 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Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech.", "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01, "display": "slider"}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model to use for speech-to-speech transformation.", "options": [{"key": "eleven_multilingual_sts_v2", "inputs": {"required": {"speed": ["FLOAT", {"tooltip": "Speech speed. 1.0 is normal, <1.0 slower, >1.0 faster.", "default": 1.0, "min": 0.7, "max": 1.3, "step": 0.01, "display": "slider"}], "similarity_boost": ["FLOAT", {"tooltip": "Similarity boost. Higher values make the voice more similar to the original.", "default": 0.75, "min": 0.0, "max": 1.0, "step": 0.01, "display": "slider"}], "use_speaker_boost": ["BOOLEAN", {"tooltip": "Boost similarity to the original speaker voice.", "default": false}], "style": ["FLOAT", {"tooltip": "Style exaggeration. 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Lower values give broader emotional range, higher values produce more consistent but potentially monotonous speech.", "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.5, "display": "slider"}], "apply_text_normalization": ["COMBO", {"tooltip": "Text normalization mode. 'auto' lets the system decide, 'on' always applies normalization, 'off' skips it.", "multiselect": false, "options": ["auto", "on", "off"]}], "model": ["COMBO", {"tooltip": "Model to use for dialogue generation.", "multiselect": false, "options": ["eleven_v3"]}], "inputs": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Number of dialogue entries.", "options": [{"key": "1", "inputs": {"required": {"text1": ["STRING", {"tooltip": "Text content for dialogue entry 1.", "default": "", "multiline": true}], "voice1": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 1. Connect from Voice Selector or Instant Voice Clone."}]}}}, {"key": "2", "inputs": {"required": {"text1": ["STRING", {"tooltip": "Text content for dialogue entry 1.", "default": "", "multiline": true}], "voice1": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 1. Connect from Voice Selector or Instant Voice Clone."}], "text2": ["STRING", {"tooltip": "Text content for dialogue entry 2.", "default": "", "multiline": true}], "voice2": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 2. Connect from Voice Selector or Instant Voice Clone."}]}}}, {"key": "3", "inputs": {"required": {"text1": ["STRING", {"tooltip": "Text content for dialogue entry 1.", "default": "", "multiline": true}], "voice1": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 1. Connect from Voice Selector or Instant Voice Clone."}], "text2": ["STRING", {"tooltip": "Text content for dialogue entry 2.", "default": "", "multiline": true}], "voice2": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 2. Connect from Voice Selector or Instant Voice Clone."}], "text3": ["STRING", {"tooltip": "Text content for dialogue entry 3.", "default": "", "multiline": true}], "voice3": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 3. Connect from Voice Selector or Instant Voice Clone."}]}}}, {"key": "4", "inputs": {"required": {"text1": ["STRING", {"tooltip": "Text content for dialogue entry 1.", "default": "", "multiline": true}], "voice1": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 1. Connect from Voice Selector or Instant Voice Clone."}], "text2": ["STRING", {"tooltip": "Text content for dialogue entry 2.", "default": "", "multiline": true}], "voice2": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 2. Connect from Voice Selector or Instant Voice Clone."}], "text3": ["STRING", {"tooltip": "Text content for dialogue entry 3.", "default": "", "multiline": true}], "voice3": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 3. Connect from Voice Selector or Instant Voice Clone."}], "text4": ["STRING", {"tooltip": "Text content for dialogue entry 4.", "default": "", "multiline": true}], "voice4": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 4. Connect from Voice Selector or Instant Voice Clone."}]}}}, {"key": "5", "inputs": {"required": {"text1": ["STRING", {"tooltip": "Text content for dialogue entry 1.", "default": "", "multiline": true}], "voice1": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 1. Connect from Voice Selector or Instant Voice Clone."}], "text2": ["STRING", {"tooltip": "Text content for dialogue entry 2.", "default": "", "multiline": true}], "voice2": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 2. Connect from Voice Selector or Instant Voice Clone."}], "text3": ["STRING", {"tooltip": "Text content for dialogue entry 3.", "default": "", "multiline": true}], "voice3": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 3. Connect from Voice Selector or Instant Voice Clone."}], "text4": ["STRING", {"tooltip": "Text content for dialogue entry 4.", "default": "", "multiline": true}], "voice4": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 4. Connect from Voice Selector or Instant Voice Clone."}], "text5": ["STRING", {"tooltip": "Text content for dialogue entry 5.", "default": "", "multiline": true}], "voice5": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 5. Connect from Voice Selector or Instant Voice Clone."}]}}}, {"key": "6", "inputs": {"required": {"text1": ["STRING", {"tooltip": "Text content for dialogue entry 1.", "default": "", "multiline": true}], "voice1": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 1. Connect from Voice Selector or Instant Voice Clone."}], "text2": ["STRING", {"tooltip": "Text content for dialogue entry 2.", "default": "", "multiline": true}], "voice2": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 2. Connect from Voice Selector or Instant Voice Clone."}], "text3": ["STRING", {"tooltip": "Text content for dialogue entry 3.", "default": "", "multiline": true}], "voice3": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 3. Connect from Voice Selector or Instant Voice Clone."}], "text4": ["STRING", {"tooltip": "Text content for dialogue entry 4.", "default": "", "multiline": true}], "voice4": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 4. Connect from Voice Selector or Instant Voice Clone."}], "text5": ["STRING", {"tooltip": "Text content for dialogue entry 5.", "default": "", "multiline": true}], "voice5": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 5. Connect from Voice Selector or Instant Voice Clone."}], "text6": ["STRING", {"tooltip": "Text content for dialogue entry 6.", "default": "", "multiline": true}], "voice6": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 6. Connect from Voice Selector or Instant Voice Clone."}]}}}, {"key": "7", "inputs": {"required": {"text1": ["STRING", {"tooltip": "Text content for dialogue entry 1.", "default": "", "multiline": true}], "voice1": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 1. Connect from Voice Selector or Instant Voice Clone."}], "text2": ["STRING", {"tooltip": "Text content for dialogue entry 2.", "default": "", "multiline": true}], "voice2": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 2. Connect from Voice Selector or Instant Voice Clone."}], "text3": ["STRING", {"tooltip": "Text content for dialogue entry 3.", "default": "", "multiline": true}], "voice3": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 3. Connect from Voice Selector or Instant Voice Clone."}], "text4": ["STRING", {"tooltip": "Text content for dialogue entry 4.", "default": "", "multiline": true}], "voice4": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 4. Connect from Voice Selector or Instant Voice Clone."}], "text5": ["STRING", {"tooltip": "Text content for dialogue entry 5.", "default": "", "multiline": true}], "voice5": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 5. Connect from Voice Selector or Instant Voice Clone."}], "text6": ["STRING", {"tooltip": "Text content for dialogue entry 6.", "default": "", "multiline": true}], "voice6": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 6. Connect from Voice Selector or Instant Voice Clone."}], "text7": ["STRING", {"tooltip": "Text content for dialogue entry 7.", "default": "", "multiline": true}], "voice7": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 7. Connect from Voice Selector or Instant Voice Clone."}]}}}, {"key": "8", "inputs": {"required": {"text1": ["STRING", {"tooltip": "Text content for dialogue entry 1.", "default": "", "multiline": true}], "voice1": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 1. Connect from Voice Selector or Instant Voice Clone."}], "text2": ["STRING", {"tooltip": "Text content for dialogue entry 2.", "default": "", "multiline": true}], "voice2": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 2. Connect from Voice Selector or Instant Voice Clone."}], "text3": ["STRING", {"tooltip": "Text content for dialogue entry 3.", "default": "", "multiline": true}], "voice3": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 3. Connect from Voice Selector or Instant Voice Clone."}], "text4": ["STRING", {"tooltip": "Text content for dialogue entry 4.", "default": "", "multiline": true}], "voice4": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 4. Connect from Voice Selector or Instant Voice Clone."}], "text5": ["STRING", {"tooltip": "Text content for dialogue entry 5.", "default": "", "multiline": true}], "voice5": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 5. Connect from Voice Selector or Instant Voice Clone."}], "text6": ["STRING", {"tooltip": "Text content for dialogue entry 6.", "default": "", "multiline": true}], "voice6": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 6. Connect from Voice Selector or Instant Voice Clone."}], "text7": ["STRING", {"tooltip": "Text content for dialogue entry 7.", "default": "", "multiline": true}], "voice7": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 7. Connect from Voice Selector or Instant Voice Clone."}], "text8": ["STRING", {"tooltip": "Text content for dialogue entry 8.", "default": "", "multiline": true}], "voice8": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 8. Connect from Voice Selector or Instant Voice Clone."}]}}}, {"key": "9", "inputs": {"required": {"text1": ["STRING", {"tooltip": "Text content for dialogue entry 1.", "default": "", "multiline": true}], "voice1": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 1. Connect from Voice Selector or Instant Voice Clone."}], "text2": ["STRING", {"tooltip": "Text content for dialogue entry 2.", "default": "", "multiline": true}], "voice2": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 2. Connect from Voice Selector or Instant Voice Clone."}], "text3": ["STRING", {"tooltip": "Text content for dialogue entry 3.", "default": "", "multiline": true}], "voice3": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 3. Connect from Voice Selector or Instant Voice Clone."}], "text4": ["STRING", {"tooltip": "Text content for dialogue entry 4.", "default": "", "multiline": true}], "voice4": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 4. Connect from Voice Selector or Instant Voice Clone."}], "text5": ["STRING", {"tooltip": "Text content for dialogue entry 5.", "default": "", "multiline": true}], "voice5": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 5. Connect from Voice Selector or Instant Voice Clone."}], "text6": ["STRING", {"tooltip": "Text content for dialogue entry 6.", "default": "", "multiline": true}], "voice6": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 6. Connect from Voice Selector or Instant Voice Clone."}], "text7": ["STRING", {"tooltip": "Text content for dialogue entry 7.", "default": "", "multiline": true}], "voice7": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 7. Connect from Voice Selector or Instant Voice Clone."}], "text8": ["STRING", {"tooltip": "Text content for dialogue entry 8.", "default": "", "multiline": true}], "voice8": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 8. Connect from Voice Selector or Instant Voice Clone."}], "text9": ["STRING", {"tooltip": "Text content for dialogue entry 9.", "default": "", "multiline": true}], "voice9": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 9. Connect from Voice Selector or Instant Voice Clone."}]}}}, {"key": "10", "inputs": {"required": {"text1": ["STRING", {"tooltip": "Text content for dialogue entry 1.", "default": "", "multiline": true}], "voice1": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 1. Connect from Voice Selector or Instant Voice Clone."}], "text2": ["STRING", {"tooltip": "Text content for dialogue entry 2.", "default": "", "multiline": true}], "voice2": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 2. Connect from Voice Selector or Instant Voice Clone."}], "text3": ["STRING", {"tooltip": "Text content for dialogue entry 3.", "default": "", "multiline": true}], "voice3": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 3. Connect from Voice Selector or Instant Voice Clone."}], "text4": ["STRING", {"tooltip": "Text content for dialogue entry 4.", "default": "", "multiline": true}], "voice4": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 4. Connect from Voice Selector or Instant Voice Clone."}], "text5": ["STRING", {"tooltip": "Text content for dialogue entry 5.", "default": "", "multiline": true}], "voice5": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 5. Connect from Voice Selector or Instant Voice Clone."}], "text6": ["STRING", {"tooltip": "Text content for dialogue entry 6.", "default": "", "multiline": true}], "voice6": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 6. Connect from Voice Selector or Instant Voice Clone."}], "text7": ["STRING", {"tooltip": "Text content for dialogue entry 7.", "default": "", "multiline": true}], "voice7": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 7. Connect from Voice Selector or Instant Voice Clone."}], "text8": ["STRING", {"tooltip": "Text content for dialogue entry 8.", "default": "", "multiline": true}], "voice8": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 8. Connect from Voice Selector or Instant Voice Clone."}], "text9": ["STRING", {"tooltip": "Text content for dialogue entry 9.", "default": "", "multiline": true}], "voice9": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 9. Connect from Voice Selector or Instant Voice Clone."}], "text10": ["STRING", {"tooltip": "Text content for dialogue entry 10.", "default": "", "multiline": true}], "voice10": ["ELEVENLABS_VOICE", {"tooltip": "Voice for dialogue entry 10. Connect from Voice Selector or Instant Voice Clone."}]}}}]}], "language_code": ["STRING", {"tooltip": "ISO-639-1 or ISO-639-3 language code (e.g., 'en', 'es', 'fra'). Leave empty for automatic detection.", "default": "", "multiline": false}], "seed": ["INT", {"tooltip": "Seed for reproducibility.", "default": 1, "min": 0, "max": 4294967295}], "output_format": ["COMBO", {"tooltip": "Audio output format.", "multiselect": false, "options": ["mp3_44100_192", "opus_48000_192"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["stability", "apply_text_normalization", "model", "inputs", "language_code", "seed", "output_format"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["AUDIO"], "output_is_list": [false], "output_name": ["AUDIO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ElevenLabsTextToDialogue", "display_name": "ElevenLabs Text to Dialogue", "description": "Generate multi-speaker dialogue from text. Each dialogue entry has its own text and voice.", "python_module": "comfy_api_nodes.nodes_elevenlabs", "category": "api node/audio/ElevenLabs", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.24,\"format\":{\"approximate\":true,\"suffix\":\"/1K chars\"}}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "GeminiNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text inputs to the model, used to generate a response. You can include detailed instructions, questions, or context for the model.", "default": "", "multiline": true}], "model": ["COMBO", {"tooltip": "The Gemini model to use for generating responses.", "default": "gemini-3-1-pro", "multiselect": false, "options": ["gemini-2.5-pro-preview-05-06", "gemini-2.5-flash-preview-04-17", "gemini-2.5-pro", "gemini-2.5-flash", "gemini-3-pro-preview", "gemini-3-1-pro", "gemini-3-1-flash-lite"]}], "seed": ["INT", {"tooltip": "When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used.", "default": 42, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "optional": {"images": ["IMAGE", {"tooltip": "Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node."}], "audio": ["AUDIO", {"tooltip": "Optional audio to use as context for the model."}], "video": ["VIDEO", {"tooltip": "Optional video to use as context for the model."}], "files": ["GEMINI_INPUT_FILES", {"tooltip": "Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node."}], "system_prompt": ["STRING", {"tooltip": "Foundational instructions that dictate an AI's behavior.", "advanced": true, "default": "", "multiline": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "model", "seed"], "optional": ["images", "audio", "video", "files", "system_prompt"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "output_tooltips": [null], "output_matchtypes": null, "name": "GeminiNode", "display_name": "Google Gemini", "description": "Generate text responses with Google's Gemini AI model. You can provide multiple types of inputs (text, images, audio, video) as context for generating more relevant and meaningful responses.", "python_module": "comfy_api_nodes.nodes_gemini", "category": "api node/text/Gemini", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.model;\n                  $contains($m, \"gemini-2.5-flash\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.0003, 0.0025],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\"}\n                  }\n                  : $contains($m, \"gemini-2.5-pro\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.00125, 0.01],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : ($contains($m, \"gemini-3-pro-preview\") or $contains($m, \"gemini-3-1-pro\")) ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.002, 0.012],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : $contains($m, \"gemini-3-1-flash-lite\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.00025, 0.0015],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : {\"type\":\"text\", \"text\":\"Token-based\"}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "GeminiImageNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text prompt for generation", "default": "", "multiline": true}], "model": ["COMBO", {"tooltip": "The Gemini model to use for generating responses.", "default": "gemini-2.5-flash-image", "multiselect": false, "options": ["gemini-2.5-flash-image-preview", "gemini-2.5-flash-image"]}], "seed": ["INT", {"tooltip": "When seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used.", "default": 42, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "optional": {"images": ["IMAGE", {"tooltip": "Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node."}], "files": ["GEMINI_INPUT_FILES", {"tooltip": "Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node."}], "aspect_ratio": ["COMBO", {"tooltip": "Defaults to matching the output image size to that of your input image, or otherwise generates 1:1 squares.", "default": "auto", "multiselect": false, "options": ["auto", "1:1", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4", "9:16", "16:9", "21:9"]}], "response_modalities": ["COMBO", {"tooltip": "Choose 'IMAGE' for image-only output, or 'IMAGE+TEXT' to return both the generated image and a text response.", "advanced": true, "multiselect": false, "options": ["IMAGE+TEXT", "IMAGE"]}], "system_prompt": ["STRING", {"tooltip": "Foundational instructions that dictate an AI's behavior.", "advanced": true, "default": "You are an expert image-generation engine. You must ALWAYS produce an image.\nInterpret all user input\u2014regardless of format, intent, or abstraction\u2014as literal visual directives for image composition.\nIf a prompt is conversational or lacks specific visual details, you must creatively invent a concrete visual scenario that depicts the concept.\nPrioritize generating the visual representation above any text, formatting, or conversational requests.", "multiline": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "model", "seed"], "optional": ["images", "files", "aspect_ratio", "response_modalities", "system_prompt"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE", "STRING"], "output_is_list": [false, false], "output_name": ["IMAGE", "STRING"], "output_tooltips": [null, null], "output_matchtypes": null, "name": "GeminiImageNode", "display_name": "Nano Banana (Google Gemini Image)", "description": "Edit images synchronously via Google API.", "python_module": "comfy_api_nodes.nodes_gemini", "category": "api node/image/Gemini", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.039,\"format\":{\"suffix\":\"/Image (1K)\",\"approximate\":true}}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "GeminiImage2Node": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow.", "default": "", "multiline": true}], "model": ["COMBO", {"multiselect": false, "options": ["gemini-3-pro-image-preview", "Nano Banana 2 (Gemini 3.1 Flash Image)"]}], "seed": ["INT", {"tooltip": "When the seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used.", "default": 42, "min": 0, "max": 18446744073709551615, "control_after_generate": true}], "aspect_ratio": ["COMBO", {"tooltip": "If set to 'auto', matches your input image's aspect ratio; if no image is provided, a 16:9 square is usually generated.", "default": "auto", "multiselect": false, "options": ["auto", "1:1", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4", "9:16", "16:9", "21:9"]}], "resolution": ["COMBO", {"tooltip": "Target output resolution. For 2K/4K the native Gemini upscaler is used.", "multiselect": false, "options": ["1K", "2K", "4K"]}], "response_modalities": ["COMBO", {"tooltip": "Choose 'IMAGE' for image-only output, or 'IMAGE+TEXT' to return both the generated image and a text response.", "advanced": true, "multiselect": false, "options": ["IMAGE+TEXT", "IMAGE"]}]}, "optional": {"images": ["IMAGE", {"tooltip": "Optional reference image(s). To include multiple images, use the Batch Images node (up to 14)."}], "files": ["GEMINI_INPUT_FILES", {"tooltip": "Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node."}], "system_prompt": ["STRING", {"tooltip": "Foundational instructions that dictate an AI's behavior.", "advanced": true, "default": "You are an expert image-generation engine. You must ALWAYS produce an image.\nInterpret all user input\u2014regardless of format, intent, or abstraction\u2014as literal visual directives for image composition.\nIf a prompt is conversational or lacks specific visual details, you must creatively invent a concrete visual scenario that depicts the concept.\nPrioritize generating the visual representation above any text, formatting, or conversational requests.", "multiline": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "model", "seed", "aspect_ratio", "resolution", "response_modalities"], "optional": ["images", "files", "system_prompt"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE", "STRING"], "output_is_list": [false, false], "output_name": ["IMAGE", "STRING"], "output_tooltips": [null, null], "output_matchtypes": null, "name": "GeminiImage2Node", "display_name": "Nano Banana Pro (Google Gemini Image)", "description": "Generate or edit images synchronously via Google Vertex API.", "python_module": "comfy_api_nodes.nodes_gemini", "category": "api node/image/Gemini", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $m := widgets.model;\n      $r := widgets.resolution;\n      $isFlash := $contains($m, \"nano banana 2\");\n      $flashPrices := {\"1k\": 0.0696, \"2k\": 0.1014, \"4k\": 0.154};\n      $proPrices := {\"1k\": 0.134, \"2k\": 0.134, \"4k\": 0.24};\n      $prices := $isFlash ? $flashPrices : $proPrices;\n      {\"type\":\"usd\",\"usd\": $lookup($prices, $r), \"format\":{\"suffix\":\"/Image\",\"approximate\":true}}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "GeminiNanoBanana2": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text prompt describing the image to generate or the edits to apply. Include any constraints, styles, or details the model should follow.", "default": "", "multiline": true}], "model": ["COMBO", {"multiselect": false, "options": ["Nano Banana 2 (Gemini 3.1 Flash Image)"]}], "seed": ["INT", {"tooltip": "When the seed is fixed to a specific value, the model makes a best effort to provide the same response for repeated requests. Deterministic output isn't guaranteed. Also, changing the model or parameter settings, such as the temperature, can cause variations in the response even when you use the same seed value. By default, a random seed value is used.", "default": 42, "min": 0, "max": 18446744073709551615, "control_after_generate": true}], "aspect_ratio": ["COMBO", {"tooltip": "If set to 'auto', matches your input image's aspect ratio; if no image is provided, a 16:9 square is usually generated.", "default": "auto", "multiselect": false, "options": ["auto", "1:1", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4", "9:16", "16:9", "21:9"]}], "resolution": ["COMBO", {"tooltip": "Target output resolution. For 2K/4K the native Gemini upscaler is used.", "multiselect": false, "options": ["1K", "2K", "4K"]}], "response_modalities": ["COMBO", {"advanced": true, "multiselect": false, "options": ["IMAGE", "IMAGE+TEXT"]}], "thinking_level": ["COMBO", {"multiselect": false, "options": ["MINIMAL", "HIGH"]}]}, "optional": {"images": ["IMAGE", {"tooltip": "Optional reference image(s). To include multiple images, use the Batch Images node (up to 14)."}], "files": ["GEMINI_INPUT_FILES", {"tooltip": "Optional file(s) to use as context for the model. Accepts inputs from the Gemini Generate Content Input Files node."}], "system_prompt": ["STRING", {"tooltip": "Foundational instructions that dictate an AI's behavior.", "advanced": true, "default": "You are an expert image-generation engine. You must ALWAYS produce an image.\nInterpret all user input\u2014regardless of format, intent, or abstraction\u2014as literal visual directives for image composition.\nIf a prompt is conversational or lacks specific visual details, you must creatively invent a concrete visual scenario that depicts the concept.\nPrioritize generating the visual representation above any text, formatting, or conversational requests.", "multiline": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "model", "seed", "aspect_ratio", "resolution", "response_modalities", "thinking_level"], "optional": ["images", "files", "system_prompt"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE", "STRING", "IMAGE"], "output_is_list": [false, false, false], "output_name": ["IMAGE", "STRING", "thought_image"], "output_tooltips": [null, null, "First image from the model's thinking process. Only available with thinking_level HIGH and IMAGE+TEXT modality."], "output_matchtypes": null, "name": "GeminiNanoBanana2", "display_name": "Nano Banana 2", "description": "Generate or edit images synchronously via Google Vertex API.", "python_module": "comfy_api_nodes.nodes_gemini", "category": "api node/image/Gemini", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $m := widgets.model;\n      $r := widgets.resolution;\n      $isFlash := $contains($m, \"nano banana 2\");\n      $flashPrices := {\"1k\": 0.0696, \"2k\": 0.1014, \"4k\": 0.154};\n      $proPrices := {\"1k\": 0.134, \"2k\": 0.134, \"4k\": 0.24};\n      $prices := $isFlash ? $flashPrices : $proPrices;\n      {\"type\":\"usd\",\"usd\": $lookup($prices, $r), \"format\":{\"suffix\":\"/Image\",\"approximate\":true}}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "GeminiInputFiles": {"input": {"required": {"file": ["COMBO", {"tooltip": "Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now.", "multiselect": false, "options": []}]}, "optional": {"GEMINI_INPUT_FILES": ["GEMINI_INPUT_FILES", {"tooltip": "An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files."}]}}, "input_order": {"required": ["file"], "optional": ["GEMINI_INPUT_FILES"]}, "is_input_list": false, "output": ["GEMINI_INPUT_FILES"], "output_is_list": [false], "output_name": ["GEMINI_INPUT_FILES"], "output_tooltips": [null], "output_matchtypes": null, "name": "GeminiInputFiles", "display_name": "Gemini Input Files", "description": "Loads and prepares input files to include as inputs for Gemini LLM nodes. The files will be read by the Gemini model when generating a response. The contents of the text file count toward the token limit. \ud83d\udec8 TIP: Can be chained together with other Gemini Input File nodes.", "python_module": "comfy_api_nodes.nodes_gemini", "category": "api node/text/Gemini", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "GrokImageNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["grok-imagine-image-pro", "grok-imagine-image", "grok-imagine-image-beta"]}], "prompt": ["STRING", {"tooltip": "The text prompt used to generate the image", "multiline": true}], "aspect_ratio": ["COMBO", {"multiselect": false, "options": ["1:1", "2:3", "3:2", "3:4", "4:3", "9:16", "16:9", "9:19.5", "19.5:9", "9:20", "20:9", "1:2", "2:1"]}], "number_of_images": ["INT", {"tooltip": "Number of images to generate", "default": 1, "min": 1, "max": 10, "step": 1, "display": "number"}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}]}, "optional": {"resolution": ["COMBO", {"multiselect": false, "options": ["1K", "2K"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "aspect_ratio", "number_of_images", "seed"], "optional": ["resolution"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "GrokImageNode", "display_name": "Grok Image", "description": "Generate images using Grok based on a text prompt", "python_module": "comfy_api_nodes.nodes_grok", "category": "api node/image/Grok", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "number_of_images", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $rate := $contains(widgets.model, \"pro\") ? 0.07 : 0.02;\n                  {\"type\":\"usd\",\"usd\": $rate * widgets.number_of_images}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "GrokImageEditNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["grok-imagine-image-pro", "grok-imagine-image", "grok-imagine-image-beta"]}], "image": ["IMAGE", {"display_name": "images"}], "prompt": ["STRING", {"tooltip": "The text prompt used to generate the image", "multiline": true}], "resolution": ["COMBO", {"multiselect": false, "options": ["1K", "2K"]}], "number_of_images": ["INT", {"tooltip": "Number of edited images to generate", "default": 1, "min": 1, "max": 10, "step": 1, "display": "number"}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}]}, "optional": {"aspect_ratio": ["COMBO", {"tooltip": "Only allowed when multiple images are connected to the image input.", "multiselect": false, "options": ["auto", "1:1", "2:3", "3:2", "3:4", "4:3", "9:16", "16:9", "9:19.5", "19.5:9", "9:20", "20:9", "1:2", "2:1"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "image", "prompt", "resolution", "number_of_images", "seed"], "optional": ["aspect_ratio"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "GrokImageEditNode", "display_name": "Grok Image Edit", "description": "Modify an existing image based on a text prompt", "python_module": "comfy_api_nodes.nodes_grok", "category": "api node/image/Grok", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "number_of_images", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $rate := $contains(widgets.model, \"pro\") ? 0.07 : 0.02;\n                  {\"type\":\"usd\",\"usd\": 0.002 + $rate * widgets.number_of_images}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "GrokVideoNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["grok-imagine-video", "grok-imagine-video-beta"]}], "prompt": ["STRING", {"tooltip": "Text description of the desired video.", "multiline": true}], "resolution": ["COMBO", {"tooltip": "The resolution of the output video.", "multiselect": false, "options": ["480p", "720p"]}], "aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio of the output video.", "multiselect": false, "options": ["auto", "16:9", "4:3", "3:2", "1:1", "2:3", "3:4", "9:16"]}], "duration": ["INT", {"tooltip": "The duration of the output video in seconds.", "default": 6, "min": 1, "max": 15, "step": 1, "display": "slider"}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}]}, "optional": {"image": ["IMAGE", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "resolution", "aspect_ratio", "duration", "seed"], "optional": ["image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "GrokVideoNode", "display_name": "Grok Video", "description": "Generate video from a prompt or an image", "python_module": "comfy_api_nodes.nodes_grok", "category": "api node/video/Grok", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}], "inputs": ["image"], "input_groups": []}, "expr": "\n                (\n                  $rate := widgets.resolution = \"720p\" ? 0.07 : 0.05;\n                  $base := $rate * widgets.duration;\n                  {\"type\":\"usd\",\"usd\": inputs.image.connected ? $base + 0.002 : $base}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "GrokVideoReferenceNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text description of the desired video.", "multiline": true}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "The model to use for video generation.", "options": [{"key": "grok-imagine-video", "inputs": {"required": {"reference_images": ["COMFY_AUTOGROW_V3", {"tooltip": "Up to 7 reference images to guide the video generation.", "template": {"input": {"required": {"image": ["IMAGE", {}]}}, "prefix": "reference_", "min": 1, "max": 7}}], "resolution": ["COMBO", {"tooltip": "The resolution of the output video.", "multiselect": false, "options": ["480p", "720p"]}], "aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio of the output video.", "multiselect": false, "options": ["16:9", "4:3", "3:2", "1:1", "2:3", "3:4", "9:16"]}], "duration": ["INT", {"tooltip": "The duration of the output video in seconds.", "default": 6, "min": 2, "max": 10, "step": 1, "display": "slider"}]}}}]}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "model", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "GrokVideoReferenceNode", "display_name": "Grok Reference-to-Video", "description": "Generate video guided by reference images as style and content references.", "python_module": "comfy_api_nodes.nodes_grok", "category": "api node/video/Grok", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model.duration", "type": "INT"}, {"name": "model.resolution", "type": "COMBO"}], "inputs": [], "input_groups": ["model.reference_images"]}, "expr": "\n                (\n                  $res := $lookup(widgets, \"model.resolution\");\n                  $dur := $lookup(widgets, \"model.duration\");\n                  $refs := inputGroups[\"model.reference_images\"];\n                  $rate := $res = \"720p\" ? 0.07 : 0.05;\n                  $price := ($rate * $dur + 0.002 * $refs) * 1.43;\n                  {\"type\":\"usd\",\"usd\": $price}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "GrokVideoEditNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["grok-imagine-video", "grok-imagine-video-beta"]}], "prompt": ["STRING", {"tooltip": "Text description of the desired video.", "multiline": true}], "video": ["VIDEO", {"tooltip": "Maximum supported duration is 8.7 seconds and 50MB file size."}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "video", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "GrokVideoEditNode", "display_name": "Grok Video Edit", "description": "Edit an existing video based on a text prompt.", "python_module": "comfy_api_nodes.nodes_grok", "category": "api node/video/Grok", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 0.06, \"format\": {\"suffix\": \"/sec\", \"approximate\": true}}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "GrokVideoExtendNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text description of what should happen next in the video.", "multiline": true}], "video": ["VIDEO", {"tooltip": "Source video to extend. MP4 format, 2-15 seconds."}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "The model to use for video extension.", "options": [{"key": "grok-imagine-video", "inputs": {"required": {"duration": ["INT", {"tooltip": "Length of the extension in seconds.", "default": 8, "min": 2, "max": 10, "step": 1, "display": "slider"}]}}}]}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "video", "model", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "GrokVideoExtendNode", "display_name": "Grok Video Extend", "description": "Extend an existing video with a seamless continuation based on a text prompt.", "python_module": "comfy_api_nodes.nodes_grok", "category": "api node/video/Grok", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model.duration", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $dur := $lookup(widgets, \"model.duration\");\n                  {\n                    \"type\": \"range_usd\",\n                    \"min_usd\": (0.02 + 0.05 * $dur) * 1.43,\n                    \"max_usd\": (0.15 + 0.05 * $dur) * 1.43\n                  }\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "HitPawGeneralImageEnhance": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["generative_portrait", "generative"]}], "image": ["IMAGE", {}], "upscale_factor": ["COMBO", {"multiselect": false, "options": [1, 2, 4]}], "auto_downscale": ["BOOLEAN", {"tooltip": "Automatically downscale input image if output would exceed the limit.", "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "image", "upscale_factor", "auto_downscale"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "HitPawGeneralImageEnhance", "display_name": "HitPaw General Image Enhance", "description": "Upscale low-resolution images to super-resolution, eliminate artifacts and noise. Maximum output: 32 megapixels.", "python_module": "comfy_api_nodes.nodes_hitpaw", "category": "api node/image/HitPaw", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $prices := {\n                    \"generative_portrait\": {\"min\": 0.02, \"max\": 0.06},\n                    \"generative\": {\"min\": 0.05, \"max\": 0.15}\n                  };\n                  $price := $lookup($prices, widgets.model);\n                  {\n                    \"type\": \"range_usd\",\n                    \"min_usd\": $price.min,\n                    \"max_usd\": $price.max\n                  }\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "HitPawVideoEnhance": {"input": {"required": {"model": ["COMFY_DYNAMICCOMBO_V3", {"options": [{"key": "Portrait Restore Model (1x)", "inputs": {"required": {"resolution": ["COMBO", {"multiselect": false, "options": ["original", "720p", "1080p", "2K/QHD", "4K/UHD", "8K"]}]}}}, {"key": "Portrait Restore Model (2x)", "inputs": {"required": {"resolution": ["COMBO", {"multiselect": false, "options": ["original", "720p", "1080p", "2K/QHD", "4K/UHD", "8K"]}]}}}, {"key": "General Restore Model (1x)", "inputs": {"required": {"resolution": ["COMBO", {"multiselect": false, "options": ["original", "720p", "1080p", "2K/QHD", "4K/UHD", "8K"]}]}}}, {"key": "General Restore Model (2x)", "inputs": {"required": {"resolution": ["COMBO", {"multiselect": false, "options": ["original", "720p", "1080p", "2K/QHD", "4K/UHD", "8K"]}]}}}, {"key": "General Restore Model (4x)", "inputs": {"required": {"resolution": ["COMBO", {"multiselect": false, "options": ["original", "720p", "1080p", "2K/QHD", "4K/UHD", "8K"]}]}}}, {"key": "Ultra HD Model (2x)", "inputs": {"required": {"resolution": ["COMBO", {"multiselect": false, "options": ["original", "720p", "1080p", "2K/QHD", "4K/UHD", "8K"]}]}}}, {"key": "Generative Model (1x)", "inputs": {"required": {"resolution": ["COMBO", {"multiselect": false, "options": ["original", "720p", "1080p", "2K/QHD", "4K/UHD"]}]}}}]}], "video": ["VIDEO", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "video"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "HitPawVideoEnhance", "display_name": "HitPaw Video Enhance", "description": "Upscale low-resolution videos to high resolution, eliminate artifacts and noise. Prices shown are per second of video.", "python_module": "comfy_api_nodes.nodes_hitpaw", "category": "api node/video/HitPaw", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "model.resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := $lookup(widgets, \"model\");\n                  $res := $lookup(widgets, \"model.resolution\");\n                  $standard_model_prices := {\n                    \"original\": {\"min\": 0.01, \"max\": 0.198},\n                    \"720p\": {\"min\": 0.01, \"max\": 0.06},\n                    \"1080p\": {\"min\": 0.015, \"max\": 0.09},\n                    \"2k/qhd\": {\"min\": 0.02, \"max\": 0.117},\n                    \"4k/uhd\": {\"min\": 0.025, \"max\": 0.152},\n                    \"8k\": {\"min\": 0.033, \"max\": 0.198}\n                  };\n                  $ultra_hd_model_prices := {\n                    \"original\": {\"min\": 0.015, \"max\": 0.264},\n                    \"720p\": {\"min\": 0.015, \"max\": 0.092},\n                    \"1080p\": {\"min\": 0.02, \"max\": 0.12},\n                    \"2k/qhd\": {\"min\": 0.026, \"max\": 0.156},\n                    \"4k/uhd\": {\"min\": 0.034, \"max\": 0.203},\n                    \"8k\": {\"min\": 0.044, \"max\": 0.264}\n                  };\n                  $generative_model_prices := {\n                    \"original\": {\"min\": 0.015, \"max\": 0.338},\n                    \"720p\": {\"min\": 0.008, \"max\": 0.090},\n                    \"1080p\": {\"min\": 0.05, \"max\": 0.15},\n                    \"2k/qhd\": {\"min\": 0.038, \"max\": 0.225},\n                    \"4k/uhd\": {\"min\": 0.056, \"max\": 0.338}\n                  };\n                  $prices := $contains($m, \"ultra hd\") ? $ultra_hd_model_prices :\n                             $contains($m, \"generative\") ? $generative_model_prices :\n                             $standard_model_prices;\n                  $price := $lookup($prices, $res);\n                  {\n                    \"type\": \"range_usd\",\n                    \"min_usd\": $price.min,\n                    \"max_usd\": $price.max,\n                    \"format\": {\"approximate\": true, \"suffix\": \"/second\"}\n                  }\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TencentTextToModelNode": {"input": {"required": {"model": ["COMBO", {"tooltip": "The LowPoly option is unavailable for the `3.1` model.", "multiselect": false, "options": ["3.0", "3.1"]}], "prompt": ["STRING", {"tooltip": "Supports up to 1024 characters.", "default": "", "multiline": true}], "face_count": ["INT", {"default": 500000, "min": 3000, "max": 1500000}], "generate_type": ["COMFY_DYNAMICCOMBO_V3", {"options": [{"key": "Normal", "inputs": {"required": {"pbr": ["BOOLEAN", {"default": false}]}}}, {"key": "LowPoly", "inputs": {"required": {"polygon_type": ["COMBO", {"multiselect": false, "options": ["triangle", "quadrilateral"]}], "pbr": ["BOOLEAN", {"default": false}]}}}, {"key": "Geometry", "inputs": {"required": {}}}]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["model", "prompt", "face_count", "generate_type", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "FILE_3D_GLB", "FILE_3D_OBJ", "IMAGE"], "output_is_list": [false, false, false, false], "output_name": ["model_file", "GLB", "OBJ", "texture_image"], "output_tooltips": [null, null, null, null], "output_matchtypes": null, "name": "TencentTextToModelNode", "display_name": "Hunyuan3D: Text to Model", "description": "", "python_module": "comfy_api_nodes.nodes_hunyuan3d", "category": "api node/3d/Tencent", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "generate_type", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "generate_type.pbr", "type": "BOOLEAN"}, {"name": "face_count", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $base := widgets.generate_type = \"normal\" ? 25 : widgets.generate_type = \"lowpoly\" ? 30 : 15;\n                  $pbr := $lookup(widgets, \"generate_type.pbr\") ? 10 : 0;\n                  $face := widgets.face_count != 500000 ? 10 : 0;\n                  {\"type\":\"usd\",\"usd\": ($base + $pbr + $face) * 0.02}\n                )\n                "}, "search_aliases": null, "essentials_category": "3D", "has_intermediate_output": false}, "TencentImageToModelNode": {"input": {"required": {"model": ["COMBO", {"tooltip": "The LowPoly option is unavailable for the `3.1` model.", "multiselect": false, "options": ["3.0", "3.1"]}], "image": ["IMAGE", {}], "face_count": ["INT", {"default": 500000, "min": 3000, "max": 1500000}], "generate_type": ["COMFY_DYNAMICCOMBO_V3", {"options": [{"key": "Normal", "inputs": {"required": {"pbr": ["BOOLEAN", {"default": false}]}}}, {"key": "LowPoly", "inputs": {"required": {"polygon_type": ["COMBO", {"multiselect": false, "options": ["triangle", "quadrilateral"]}], "pbr": ["BOOLEAN", {"default": false}]}}}, {"key": "Geometry", "inputs": {"required": {}}}]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "optional": {"image_left": ["IMAGE", {}], "image_right": ["IMAGE", {}], "image_back": ["IMAGE", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["model", "image", "face_count", "generate_type", "seed"], "optional": ["image_left", "image_right", "image_back"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "FILE_3D_GLB", "FILE_3D_OBJ", "IMAGE", "IMAGE", "IMAGE", "IMAGE"], "output_is_list": [false, false, false, false, false, false, false], "output_name": ["model_file", "GLB", "OBJ", "texture_image", "optional_metallic", "optional_normal", "optional_roughness"], "output_tooltips": [null, null, null, null, null, null, null], "output_matchtypes": null, "name": "TencentImageToModelNode", "display_name": "Hunyuan3D: Image(s) to Model", "description": "", "python_module": "comfy_api_nodes.nodes_hunyuan3d", "category": "api node/3d/Tencent", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "generate_type", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "generate_type.pbr", "type": "BOOLEAN"}, {"name": "face_count", "type": "INT"}], "inputs": ["image_left", "image_right", "image_back"], "input_groups": []}, "expr": "\n                (\n                  $base := widgets.generate_type = \"normal\" ? 25 : widgets.generate_type = \"lowpoly\" ? 30 : 15;\n                  $multiview := (\n                    inputs.image_left.connected or inputs.image_right.connected or inputs.image_back.connected\n                  ) ? 10 : 0;\n                  $pbr := $lookup(widgets, \"generate_type.pbr\") ? 10 : 0;\n                  $face := widgets.face_count != 500000 ? 10 : 0;\n                  {\"type\":\"usd\",\"usd\": ($base + $multiview + $pbr + $face) * 0.02}\n                )\n                "}, "search_aliases": null, "essentials_category": "3D", "has_intermediate_output": false}, "TencentModelTo3DUVNode": {"input": {"required": {"model_3d": ["FILE_3D_GLB,FILE_3D_OBJ,FILE_3D_FBX,FILE_3D", {"tooltip": "Input 3D model (GLB, OBJ, or FBX)"}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 1, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_3d", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["FILE_3D_OBJ", "FILE_3D_FBX", "IMAGE"], "output_is_list": [false, false, false], "output_name": ["OBJ", "FBX", "uv_image"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "TencentModelTo3DUVNode", "display_name": "Hunyuan3D: Model to UV", "description": "Perform UV unfolding on a 3D model to generate UV texture. Input model must have less than 30000 faces.", "python_module": "comfy_api_nodes.nodes_hunyuan3d", "category": "api node/3d/Tencent", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.2}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Tencent3DTextureEditNode": {"input": {"required": {"model_3d": ["FILE_3D_FBX,FILE_3D", {"tooltip": "3D model in FBX format. Model should have less than 100000 faces."}], "prompt": ["STRING", {"tooltip": "Describes texture editing. Supports up to 1024 UTF-8 characters.", "default": "", "multiline": true}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_3d", "prompt", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["FILE_3D_GLB", "FILE_3D_OBJ", "IMAGE"], "output_is_list": [false, false, false], "output_name": ["GLB", "OBJ", "texture_image"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "Tencent3DTextureEditNode", "display_name": "Hunyuan3D: 3D Texture Edit", "description": "After inputting the 3D model, perform 3D model texture redrawing.", "python_module": "comfy_api_nodes.nodes_hunyuan3d", "category": "api node/3d/Tencent", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 0.6}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Tencent3DPartNode": {"input": {"required": {"model_3d": ["FILE_3D_FBX,FILE_3D", {"tooltip": "3D model in FBX format. Model should have less than 30000 faces."}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_3d", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["FILE_3D_FBX"], "output_is_list": [false], "output_name": ["FBX"], "output_tooltips": [null], "output_matchtypes": null, "name": "Tencent3DPartNode", "display_name": "Hunyuan3D: 3D Part", "description": "Automatically perform component identification and generation based on the model structure.", "python_module": "comfy_api_nodes.nodes_hunyuan3d", "category": "api node/3d/Tencent", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.6}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TencentSmartTopologyNode": {"input": {"required": {"model_3d": ["FILE_3D_GLB,FILE_3D_OBJ,FILE_3D", {"tooltip": "Input 3D model (GLB or OBJ)"}], "polygon_type": ["COMBO", {"tooltip": "Surface composition type.", "multiselect": false, "options": ["triangle", "quadrilateral"]}], "face_level": ["COMBO", {"tooltip": "Polygon reduction level.", "multiselect": false, "options": ["medium", "high", "low"]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_3d", "polygon_type", "face_level", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["FILE_3D_OBJ"], "output_is_list": [false], "output_name": ["OBJ"], "output_tooltips": [null], "output_matchtypes": null, "name": "TencentSmartTopologyNode", "display_name": "Hunyuan3D: Smart Topology", "description": "Perform smart retopology on a 3D model. Supports GLB/OBJ formats; max 200MB; recommended for high-poly models.", "python_module": "comfy_api_nodes.nodes_hunyuan3d", "category": "api node/3d/Tencent", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":1.0}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "IdeogramV1": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation", "default": "", "multiline": true}], "turbo": ["BOOLEAN", {"tooltip": "Whether to use turbo mode (faster generation, potentially lower quality)", "default": false}]}, "optional": {"aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio for image generation.", "default": "1:1", "multiselect": false, "options": ["1:1", "4:3", "3:4", "16:9", "9:16", "2:1", "1:2", "3:2", "2:3", "4:5", "5:4"]}], "magic_prompt_option": ["COMBO", {"tooltip": "Determine if MagicPrompt should be used in generation", "advanced": true, "default": "AUTO", "multiselect": false, "options": ["AUTO", "ON", "OFF"]}], "seed": ["INT", {"default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "negative_prompt": ["STRING", {"tooltip": "Description of what to exclude from the image", "default": "", "multiline": true}], "num_images": ["INT", {"default": 1, "min": 1, "max": 8, "step": 1, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "turbo"], "optional": ["aspect_ratio", "magic_prompt_option", "seed", "negative_prompt", "num_images"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "IdeogramV1", "display_name": "Ideogram V1", "description": "Generates images using the Ideogram V1 model.", "python_module": "comfy_api_nodes.nodes_ideogram", "category": "api node/image/Ideogram", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "num_images", "type": "INT"}, {"name": "turbo", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $n := widgets.num_images;\n                  $base := (widgets.turbo = true) ? 0.0286 : 0.0858;\n                  {\"type\":\"usd\",\"usd\": $round($base * $n, 2)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "IdeogramV2": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation", "default": "", "multiline": true}], "turbo": ["BOOLEAN", {"tooltip": "Whether to use turbo mode (faster generation, potentially lower quality)", "default": false}]}, "optional": {"aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio for image generation. Ignored if resolution is not set to AUTO.", "default": "1:1", "multiselect": false, "options": ["1:1", "4:3", "3:4", "16:9", "9:16", "2:1", "1:2", "3:2", "2:3", "4:5", "5:4"]}], "resolution": ["COMBO", {"tooltip": "The resolution for image generation. If not set to AUTO, this overrides the aspect_ratio setting.", "default": "Auto", "multiselect": false, "options": ["Auto", "512 x 1536", "576 x 1408", "576 x 1472", "576 x 1536", "640 x 1024", "640 x 1344", "640 x 1408", "640 x 1472", "640 x 1536", "704 x 1152", "704 x 1216", "704 x 1280", "704 x 1344", "704 x 1408", "704 x 1472", "720 x 1280", "736 x 1312", "768 x 1024", "768 x 1088", "768 x 1152", "768 x 1216", "768 x 1232", "768 x 1280", "768 x 1344", "832 x 960", "832 x 1024", "832 x 1088", "832 x 1152", "832 x 1216", "832 x 1248", "864 x 1152", "896 x 960", "896 x 1024", "896 x 1088", "896 x 1120", "896 x 1152", "960 x 832", "960 x 896", "960 x 1024", "960 x 1088", "1024 x 640", "1024 x 768", "1024 x 832", "1024 x 896", "1024 x 960", "1024 x 1024", "1088 x 768", "1088 x 832", "1088 x 896", "1088 x 960", "1120 x 896", "1152 x 704", "1152 x 768", "1152 x 832", "1152 x 864", "1152 x 896", "1216 x 704", "1216 x 768", "1216 x 832", "1232 x 768", "1248 x 832", "1280 x 704", "1280 x 720", "1280 x 768", "1280 x 800", "1312 x 736", "1344 x 640", "1344 x 704", "1344 x 768", "1408 x 576", "1408 x 640", "1408 x 704", "1472 x 576", "1472 x 640", "1472 x 704", "1536 x 512", "1536 x 576", "1536 x 640"]}], "magic_prompt_option": ["COMBO", {"tooltip": "Determine if MagicPrompt should be used in generation", "advanced": true, "default": "AUTO", "multiselect": false, "options": ["AUTO", "ON", "OFF"]}], "seed": ["INT", {"default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "style_type": ["COMBO", {"tooltip": "Style type for generation (V2 only)", "advanced": true, "default": "NONE", "multiselect": false, "options": ["AUTO", "GENERAL", "REALISTIC", "DESIGN", "RENDER_3D", "ANIME"]}], "negative_prompt": ["STRING", {"tooltip": "Description of what to exclude from the image", "default": "", "multiline": true}], "num_images": ["INT", {"default": 1, "min": 1, "max": 8, "step": 1, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "turbo"], "optional": ["aspect_ratio", "resolution", "magic_prompt_option", "seed", "style_type", "negative_prompt", "num_images"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "IdeogramV2", "display_name": "Ideogram V2", "description": "Generates images using the Ideogram V2 model.", "python_module": "comfy_api_nodes.nodes_ideogram", "category": "api node/image/Ideogram", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "num_images", "type": "INT"}, {"name": "turbo", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $n := widgets.num_images;\n                  $base := (widgets.turbo = true) ? 0.0715 : 0.1144;\n                  {\"type\":\"usd\",\"usd\": $round($base * $n, 2)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "IdeogramV3": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation or editing", "default": "", "multiline": true}]}, "optional": {"image": ["IMAGE", {"tooltip": "Optional reference image for image editing."}], "mask": ["MASK", {"tooltip": "Optional mask for inpainting (white areas will be replaced)"}], "aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio for image generation. Ignored if resolution is not set to Auto.", "default": "1:1", "multiselect": false, "options": ["1:3", "3:1", "1:2", "2:1", "9:16", "16:9", "10:16", "16:10", "2:3", "3:2", "3:4", "4:3", "4:5", "5:4", "1:1"]}], "resolution": ["COMBO", {"tooltip": "The resolution for image generation. If not set to Auto, this overrides the aspect_ratio setting.", "default": "Auto", "multiselect": false, "options": ["Auto", "512x1536", "576x1408", "576x1472", "576x1536", "640x1344", "640x1408", "640x1472", "640x1536", "704x1152", "704x1216", "704x1280", "704x1344", "704x1408", "704x1472", "736x1312", "768x1088", "768x1216", "768x1280", "768x1344", "800x1280", "832x960", "832x1024", "832x1088", "832x1152", "832x1216", "832x1248", "864x1152", "896x960", "896x1024", "896x1088", "896x1120", "896x1152", "960x832", "960x896", "960x1024", "960x1088", "1024x832", "1024x896", "1024x960", "1024x1024", "1088x768", "1088x832", "1088x896", "1088x960", "1120x896", "1152x704", "1152x832", "1152x864", "1152x896", "1216x704", "1216x768", "1216x832", "1248x832", "1280x704", "1280x768", "1280x800", "1312x736", "1344x640", "1344x704", "1344x768", "1408x576", "1408x640", "1408x704", "1472x576", "1472x640", "1472x704", "1536x512", "1536x576", "1536x640"]}], "magic_prompt_option": ["COMBO", {"tooltip": "Determine if MagicPrompt should be used in generation", "advanced": true, "default": "AUTO", "multiselect": false, "options": ["AUTO", "ON", "OFF"]}], "seed": ["INT", {"default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "num_images": ["INT", {"default": 1, "min": 1, "max": 8, "step": 1, "display": "number"}], "rendering_speed": ["COMBO", {"tooltip": "Controls the trade-off between generation speed and quality", "advanced": true, "default": "DEFAULT", "multiselect": false, "options": ["DEFAULT", "TURBO", "QUALITY"]}], "character_image": ["IMAGE", {"tooltip": "Image to use as character reference."}], "character_mask": ["MASK", {"tooltip": "Optional mask for character reference image."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt"], "optional": ["image", "mask", "aspect_ratio", "resolution", "magic_prompt_option", "seed", "num_images", "rendering_speed", "character_image", "character_mask"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "IdeogramV3", "display_name": "Ideogram V3", "description": "Generates images using the Ideogram V3 model. Supports both regular image generation from text prompts and image editing with mask.", "python_module": "comfy_api_nodes.nodes_ideogram", "category": "api node/image/Ideogram", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "rendering_speed", "type": "COMBO"}, {"name": "num_images", "type": "INT"}], "inputs": ["character_image"], "input_groups": []}, "expr": "\n                (\n                  $n := widgets.num_images;\n                  $speed := widgets.rendering_speed;\n                  $hasChar := inputs.character_image.connected;\n                  $base :=\n                    $contains($speed,\"quality\") ? ($hasChar ? 0.286 : 0.1287) :\n                    $contains($speed,\"default\") ? ($hasChar ? 0.2145 : 0.0858) :\n                    $contains($speed,\"turbo\") ? ($hasChar ? 0.143 : 0.0429) :\n                    0.0858;\n                  {\"type\":\"usd\",\"usd\": $round($base * $n, 2)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingCameraControls": {"input": {"required": {"camera_control_type": ["COMBO", {"multiselect": false, "options": ["simple", "down_back", "forward_up", "right_turn_forward", "left_turn_forward"]}], "horizontal_movement": ["FLOAT", {"tooltip": "Controls camera's movement along horizontal axis (x-axis). Negative indicates left, positive indicates right", "default": 0.0, "min": -10.0, "max": 10.0, "step": 0.25, "display": "slider"}], "vertical_movement": ["FLOAT", {"tooltip": "Controls camera's movement along vertical axis (y-axis). Negative indicates downward, positive indicates upward.", "default": 0.0, "min": -10.0, "max": 10.0, "step": 0.25, "display": "slider"}], "pan": ["FLOAT", {"tooltip": "Controls camera's rotation in vertical plane (x-axis). Negative indicates downward rotation, positive indicates upward rotation.", "default": 0.5, "min": -10.0, "max": 10.0, "step": 0.25, "display": "slider"}], "tilt": ["FLOAT", {"tooltip": "Controls camera's rotation in horizontal plane (y-axis). Negative indicates left rotation, positive indicates right rotation.", "default": 0.0, "min": -10.0, "max": 10.0, "step": 0.25, "display": "slider"}], "roll": ["FLOAT", {"tooltip": "Controls camera's rolling amount (z-axis). Negative indicates counterclockwise, positive indicates clockwise.", "default": 0.0, "min": -10.0, "max": 10.0, "step": 0.25, "display": "slider"}], "zoom": ["FLOAT", {"tooltip": "Controls change in camera's focal length. Negative indicates narrower field of view, positive indicates wider field of view.", "default": 0.0, "min": -10.0, "max": 10.0, "step": 0.25, "display": "slider"}]}}, "input_order": {"required": ["camera_control_type", "horizontal_movement", "vertical_movement", "pan", "tilt", "roll", "zoom"]}, "is_input_list": false, "output": ["CAMERA_CONTROL"], "output_is_list": [false], "output_name": ["camera_control"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingCameraControls", "display_name": "Kling Camera Controls", "description": "Allows specifying configuration options for Kling Camera Controls and motion control effects.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingTextToVideoNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Positive text prompt", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative text prompt", "multiline": true}], "cfg_scale": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0}], "aspect_ratio": ["COMBO", {"default": "16:9", "multiselect": false, "options": ["16:9", "9:16", "1:1"]}], "mode": ["COMBO", {"tooltip": "The configuration to use for the video generation following the format: mode / duration / model_name.", "default": "pro mode / 5s duration / kling-v2-5-turbo", "multiselect": false, "options": ["standard mode / 5s duration / kling-v1-6", "standard mode / 10s duration / kling-v1-6", "pro mode / 5s duration / kling-v2-master", "pro mode / 10s duration / kling-v2-master", "standard mode / 5s duration / kling-v2-master", "standard mode / 10s duration / kling-v2-master", "pro mode / 5s duration / kling-v2-1-master", "pro mode / 10s duration / kling-v2-1-master", "pro mode / 5s duration / kling-v2-5-turbo", "pro mode / 10s duration / kling-v2-5-turbo"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "negative_prompt", "cfg_scale", "aspect_ratio", "mode"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO", "STRING", "STRING"], "output_is_list": [false, false, false], "output_name": ["VIDEO", "video_id", "duration"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "KlingTextToVideoNode", "display_name": "Kling Text to Video", "description": "Kling Text to Video Node", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "mode", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.mode;\n                  $contains($m,\"v2-5-turbo\")\n                    ? ($contains($m,\"10\") ? {\"type\":\"usd\",\"usd\":0.7} : {\"type\":\"usd\",\"usd\":0.35})\n                    : $contains($m,\"v2-1-master\")\n                      ? ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":2.8} : {\"type\":\"usd\",\"usd\":1.4})\n                      : $contains($m,\"v2-master\")\n                        ? ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":2.8} : {\"type\":\"usd\",\"usd\":1.4})\n                        : $contains($m,\"v1-6\")\n                          ? (\n                              $contains($m,\"pro\")\n                                ? ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":0.98} : {\"type\":\"usd\",\"usd\":0.49})\n                                : ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":0.56} : {\"type\":\"usd\",\"usd\":0.28})\n                            )\n                          : $contains($m,\"v1\")\n                            ? (\n                                $contains($m,\"pro\")\n                                  ? ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":0.98} : {\"type\":\"usd\",\"usd\":0.49})\n                                  : ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":0.28} : {\"type\":\"usd\",\"usd\":0.14})\n                              )\n                            : {\"type\":\"usd\",\"usd\":0.14}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingImage2VideoNode": {"input": {"required": {"start_frame": ["IMAGE", {"tooltip": "The reference image used to generate the video."}], "prompt": ["STRING", {"tooltip": "Positive text prompt", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative text prompt", "multiline": true}], "model_name": ["COMBO", {"default": "kling-v2-master", "multiselect": false, "options": ["kling-v1", "kling-v1-5", "kling-v1-6", "kling-v2-master", "kling-v2-1", "kling-v2-1-master", "kling-v2-5-turbo"]}], "cfg_scale": ["FLOAT", {"default": 0.8, "min": 0.0, "max": 1.0}], "mode": ["COMBO", {"default": "std", "multiselect": false, "options": ["std", "pro"]}], "aspect_ratio": ["COMBO", {"default": "16:9", "multiselect": false, "options": ["16:9", "9:16", "1:1"]}], "duration": ["COMBO", {"default": "5", "multiselect": false, "options": ["5", "10"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["start_frame", "prompt", "negative_prompt", "model_name", "cfg_scale", "mode", "aspect_ratio", "duration"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO", "STRING", "STRING"], "output_is_list": [false, false, false], "output_name": ["VIDEO", "video_id", "duration"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "KlingImage2VideoNode", "display_name": "Kling Image(First Frame) to Video", "description": "", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "mode", "type": "COMBO"}, {"name": "model_name", "type": "COMBO"}, {"name": "duration", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $mode := widgets.mode;\n                  $model := widgets.model_name;\n                  $dur := widgets.duration;\n                  $contains($model,\"v2-5-turbo\")\n                    ? ($contains($dur,\"10\") ? {\"type\":\"usd\",\"usd\":0.7} : {\"type\":\"usd\",\"usd\":0.35})\n                    : ($contains($model,\"v2-1-master\") or $contains($model,\"v2-master\"))\n                      ? ($contains($dur,\"10\") ? {\"type\":\"usd\",\"usd\":2.8} : {\"type\":\"usd\",\"usd\":1.4})\n                      : ($contains($model,\"v2-1\") or $contains($model,\"v1-6\") or $contains($model,\"v1-5\"))\n                        ? (\n                            $contains($mode,\"pro\")\n                              ? ($contains($dur,\"10\") ? {\"type\":\"usd\",\"usd\":0.98} : {\"type\":\"usd\",\"usd\":0.49})\n                              : ($contains($dur,\"10\") ? {\"type\":\"usd\",\"usd\":0.56} : {\"type\":\"usd\",\"usd\":0.28})\n                          )\n                        : $contains($model,\"v1\")\n                          ? (\n                              $contains($mode,\"pro\")\n                                ? ($contains($dur,\"10\") ? {\"type\":\"usd\",\"usd\":0.98} : {\"type\":\"usd\",\"usd\":0.49})\n                                : ($contains($dur,\"10\") ? {\"type\":\"usd\",\"usd\":0.28} : {\"type\":\"usd\",\"usd\":0.14})\n                            )\n                          : {\"type\":\"usd\",\"usd\":0.14}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingCameraControlI2VNode": {"input": {"required": {"start_frame": ["IMAGE", {"tooltip": "Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1. Base64 should not include data:image prefix."}], "prompt": ["STRING", {"tooltip": "Positive text prompt", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative text prompt", "multiline": true}], "cfg_scale": ["FLOAT", {"default": 0.75, "min": 0.0, "max": 1.0}], "aspect_ratio": ["COMBO", {"default": "16:9", "multiselect": false, "options": ["16:9", "9:16", "1:1"]}], "camera_control": ["CAMERA_CONTROL", {"tooltip": "Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["start_frame", "prompt", "negative_prompt", "cfg_scale", "aspect_ratio", "camera_control"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO", "STRING", "STRING"], "output_is_list": [false, false, false], "output_name": ["VIDEO", "video_id", "duration"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "KlingCameraControlI2VNode", "display_name": "Kling Image to Video (Camera Control)", "description": "Transform still images into cinematic videos with professional camera movements that simulate real-world cinematography. Control virtual camera actions including zoom, rotation, pan, tilt, and first-person view, while maintaining focus on your original image.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.49}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingCameraControlT2VNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Positive text prompt", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative text prompt", "multiline": true}], "cfg_scale": ["FLOAT", {"default": 0.75, "min": 0.0, "max": 1.0}], "aspect_ratio": ["COMBO", {"default": "16:9", "multiselect": false, "options": ["16:9", "9:16", "1:1"]}], "camera_control": ["CAMERA_CONTROL", {"tooltip": "Can be created using the Kling Camera Controls node. Controls the camera movement and motion during the video generation."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "negative_prompt", "cfg_scale", "aspect_ratio", "camera_control"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO", "STRING", "STRING"], "output_is_list": [false, false, false], "output_name": ["VIDEO", "video_id", "duration"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "KlingCameraControlT2VNode", "display_name": "Kling Text to Video (Camera Control)", "description": "Transform text into cinematic videos with professional camera movements that simulate real-world cinematography. Control virtual camera actions including zoom, rotation, pan, tilt, and first-person view, while maintaining focus on your original text.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.14}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingStartEndFrameNode": {"input": {"required": {"start_frame": ["IMAGE", {"tooltip": "Reference Image - URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1. Base64 should not include data:image prefix."}], "end_frame": ["IMAGE", {"tooltip": "Reference Image - End frame control. URL or Base64 encoded string, cannot exceed 10MB, resolution not less than 300*300px. Base64 should not include data:image prefix."}], "prompt": ["STRING", {"tooltip": "Positive text prompt", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative text prompt", "multiline": true}], "cfg_scale": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0}], "aspect_ratio": ["COMBO", {"multiselect": false, "options": ["16:9", "9:16", "1:1"]}], "mode": ["COMBO", {"tooltip": "The configuration to use for the video generation following the format: mode / duration / model_name.", "default": "pro mode / 5s duration / kling-v2-5-turbo", "multiselect": false, "options": ["pro mode / 5s duration / kling-v1-5", "pro mode / 10s duration / kling-v1-5", "pro mode / 5s duration / kling-v1-6", "pro mode / 10s duration / kling-v1-6", "pro mode / 5s duration / kling-v2-1", "pro mode / 10s duration / kling-v2-1", "pro mode / 5s duration / kling-v2-5-turbo", "pro mode / 10s duration / kling-v2-5-turbo"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["start_frame", "end_frame", "prompt", "negative_prompt", "cfg_scale", "aspect_ratio", "mode"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO", "STRING", "STRING"], "output_is_list": [false, false, false], "output_name": ["VIDEO", "video_id", "duration"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "KlingStartEndFrameNode", "display_name": "Kling Start-End Frame to Video", "description": "Generate a video sequence that transitions between your provided start and end images. The node creates all frames in between, producing a smooth transformation from the first frame to the last.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "mode", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.mode;\n                  $contains($m,\"v2-5-turbo\")\n                    ? ($contains($m,\"10\") ? {\"type\":\"usd\",\"usd\":0.7} : {\"type\":\"usd\",\"usd\":0.35})\n                    : $contains($m,\"v2-1\")\n                      ? ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":0.98} : {\"type\":\"usd\",\"usd\":0.49})\n                      : $contains($m,\"v2-master\")\n                        ? ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":2.8} : {\"type\":\"usd\",\"usd\":1.4})\n                        : $contains($m,\"v1-6\")\n                          ? (\n                              $contains($m,\"pro\")\n                                ? ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":0.98} : {\"type\":\"usd\",\"usd\":0.49})\n                                : ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":0.56} : {\"type\":\"usd\",\"usd\":0.28})\n                            )\n                          : $contains($m,\"v1\")\n                            ? (\n                                $contains($m,\"pro\")\n                                  ? ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":0.98} : {\"type\":\"usd\",\"usd\":0.49})\n                                  : ($contains($m,\"10s\") ? {\"type\":\"usd\",\"usd\":0.28} : {\"type\":\"usd\",\"usd\":0.14})\n                              )\n                            : {\"type\":\"usd\",\"usd\":0.14}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingVideoExtendNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Positive text prompt for guiding the video extension", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative text prompt for elements to avoid in the extended video", "multiline": true}], "cfg_scale": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0}], "video_id": ["STRING", {"tooltip": "The ID of the video to be extended. Supports videos generated by text-to-video, image-to-video, and previous video extension operations. Cannot exceed 3 minutes total duration after extension.", "forceInput": true, "multiline": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "negative_prompt", "cfg_scale", "video_id"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO", "STRING", "STRING"], "output_is_list": [false, false, false], "output_name": ["VIDEO", "video_id", "duration"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "KlingVideoExtendNode", "display_name": "Kling Video Extend", "description": "Kling Video Extend Node. Extend videos made by other Kling nodes. The video_id is created by using other Kling Nodes.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.28}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingLipSyncAudioToVideoNode": {"input": {"required": {"video": ["VIDEO", {}], "audio": ["AUDIO", {}], "voice_language": ["COMBO", {"default": "en", "multiselect": false, "options": ["zh", "en"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["video", "audio", "voice_language"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO", "STRING", "STRING"], "output_is_list": [false, false, false], "output_name": ["VIDEO", "video_id", "duration"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "KlingLipSyncAudioToVideoNode", "display_name": "Kling Lip Sync Video with Audio", "description": "Kling Lip Sync Audio to Video Node. Syncs mouth movements in a video file to the audio content of an audio file. When using, ensure that the audio contains clearly distinguishable vocals and that the video contains a distinct face. The audio file should not be larger than 5MB. The video file should not be larger than 100MB, should have height/width between 720px and 1920px, and should be between 2s and 10s in length.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.1,\"format\":{\"approximate\":true}}"}, "search_aliases": null, "essentials_category": "Video Generation", "has_intermediate_output": false}, "KlingLipSyncTextToVideoNode": {"input": {"required": {"video": ["VIDEO", {}], "text": ["STRING", {"tooltip": "Text Content for Lip-Sync Video Generation. Required when mode is text2video. Maximum length is 120 characters.", "multiline": true}], "voice": ["COMBO", {"default": "Melody", "multiselect": false, "options": ["Melody", "Sunny", "Sage", "Ace", "Blossom", "Peppy", "Dove", "Shine", "Anchor", "Lyric", "Tender", "Siren", "Zippy", "Bud", "Sprite", "Candy", "Beacon", "Rock", "Titan", "Grace", "Helen", "Lore", "Crag", "Prattle", "Hearth", "The Reader", "Commercial Lady", "\u9633\u5149\u5c11\u5e74", "\u61c2\u4e8b\u5c0f\u5f1f", "\u8fd0\u52a8\u5c11\u5e74", "\u9752\u6625\u5c11\u5973", "\u6e29\u67d4\u5c0f\u59b9", "\u5143\u6c14\u5c11\u5973", "\u9633\u5149\u7537\u751f", "\u5e7d\u9ed8\u5c0f\u54e5", "\u6587\u827a\u5c0f\u54e5", "\u751c\u7f8e\u90bb\u5bb6", "\u6e29\u67d4\u59d0\u59d0", "\u804c\u573a\u5973\u9752", "\u6d3b\u6cfc\u7537\u7ae5", "\u4fcf\u76ae\u5973\u7ae5", "\u7a33\u91cd\u8001\u7238", "\u6e29\u67d4\u5988\u5988", "\u4e25\u8083\u4e0a\u53f8", "\u4f18\u96c5\u8d35\u5987", "\u6148\u7965\u7237\u7237", "\u5520\u53e8\u7237\u7237", "\u5520\u53e8\u5976\u5976", "\u548c\u853c\u5976\u5976", "\u4e1c\u5317\u8001\u94c1", "\u91cd\u5e86\u5c0f\u4f19", "\u56db\u5ddd\u59b9\u5b50", "\u6f6e\u6c55\u5927\u53d4", "\u53f0\u6e7e\u7537\u751f", "\u897f\u5b89\u638c\u67dc", "\u5929\u6d25\u59d0\u59d0", "\u65b0\u95fb\u64ad\u62a5\u7537", "\u8bd1\u5236\u7247\u7537", "\u6492\u5a07\u5973\u53cb", "\u5200\u7247\u70df\u55d3", "\u4e56\u5de7\u6b63\u592a"]}], "voice_speed": ["FLOAT", {"tooltip": "Speech Rate. Valid range: 0.8~2.0, accurate to one decimal place.", "advanced": true, "default": 1, "min": 0.8, "max": 2.0, "display": "slider"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["video", "text", "voice", "voice_speed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO", "STRING", "STRING"], "output_is_list": [false, false, false], "output_name": ["VIDEO", "video_id", "duration"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "KlingLipSyncTextToVideoNode", "display_name": "Kling Lip Sync Video with Text", "description": "Kling Lip Sync Text to Video Node. Syncs mouth movements in a video file to a text prompt. The video file should not be larger than 100MB, should have height/width between 720px and 1920px, and should be between 2s and 10s in length.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.1,\"format\":{\"approximate\":true}}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingVirtualTryOnNode": {"input": {"required": {"human_image": ["IMAGE", {}], "cloth_image": ["IMAGE", {}], "model_name": ["COMBO", {"default": "kolors-virtual-try-on-v1", "multiselect": false, "options": ["kolors-virtual-try-on-v1", "kolors-virtual-try-on-v1-5"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["human_image", "cloth_image", "model_name"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingVirtualTryOnNode", "display_name": "Kling Virtual Try On", "description": "Kling Virtual Try On Node. Input a human image and a cloth image to try on the cloth on the human. You can merge multiple clothing item pictures into one image with a white background.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/image/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.7}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingImageGenerationNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Positive text prompt", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative text prompt", "multiline": true}], "image_type": ["COMBO", {"advanced": true, "multiselect": false, "options": ["subject", "face"]}], "image_fidelity": ["FLOAT", {"tooltip": "Reference intensity for user-uploaded images", "advanced": true, "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01, "display": "slider"}], "human_fidelity": ["FLOAT", {"tooltip": "Subject reference similarity", "advanced": true, "default": 0.45, "min": 0.0, "max": 1.0, "step": 0.01, "display": "slider"}], "model_name": ["COMBO", {"multiselect": false, "options": ["kling-v3", "kling-v2", "kling-v1-5"]}], "aspect_ratio": ["COMBO", {"default": "16:9", "multiselect": false, "options": ["16:9", "9:16", "1:1", "4:3", "3:4", "3:2", "2:3", "21:9"]}], "n": ["INT", {"tooltip": "Number of generated images", "default": 1, "min": 1, "max": 9}]}, "optional": {"image": ["IMAGE", {}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "negative_prompt", "image_type", "image_fidelity", "human_fidelity", "model_name", "aspect_ratio", "n"], "optional": ["image", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingImageGenerationNode", "display_name": "Kling 3.0 Image", "description": "Kling Image Generation Node. Generate an image from a text prompt with an optional reference image.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/image/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model_name", "type": "COMBO"}, {"name": "n", "type": "INT"}], "inputs": ["image"], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.model_name;\n                  $base :=\n                    $contains($m,\"kling-v1-5\")\n                      ? (inputs.image.connected ? 0.028 : 0.014)\n                      : $contains($m,\"kling-v3\") ? 0.028 : 0.014;\n                  {\"type\":\"usd\",\"usd\": $base * widgets.n}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingSingleImageVideoEffectNode": {"input": {"required": {"image": ["IMAGE", {"tooltip": " Reference Image. URL or Base64 encoded string (without data:image prefix). File size cannot exceed 10MB, resolution not less than 300*300px, aspect ratio between 1:2.5 ~ 2.5:1"}], "effect_scene": ["COMBO", {"multiselect": false, "options": ["bloombloom", "dizzydizzy", "fuzzyfuzzy", "squish", "expansion"]}], "model_name": ["COMBO", {"multiselect": false, "options": ["kling-v1-6"]}], "duration": ["COMBO", {"multiselect": false, "options": ["5", "10"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "effect_scene", "model_name", "duration"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO", "STRING", "STRING"], "output_is_list": [false, false, false], "output_name": ["VIDEO", "video_id", "duration"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "KlingSingleImageVideoEffectNode", "display_name": "Kling Video Effects", "description": "Achieve different special effects when generating a video based on the effect_scene.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "effect_scene", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  ($contains(widgets.effect_scene,\"dizzydizzy\") or $contains(widgets.effect_scene,\"bloombloom\"))\n                    ? {\"type\":\"usd\",\"usd\":0.49}\n                    : {\"type\":\"usd\",\"usd\":0.28}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingDualCharacterVideoEffectNode": {"input": {"required": {"image_left": ["IMAGE", {"tooltip": "Left side image"}], "image_right": ["IMAGE", {"tooltip": "Right side image"}], "effect_scene": ["COMBO", {"multiselect": false, "options": ["hug", "kiss", "heart_gesture"]}], "model_name": ["COMBO", {"default": "kling-v1", "multiselect": false, "options": ["kling-v1", "kling-v1-5", "kling-v1-6"]}], "mode": ["COMBO", {"default": "std", "multiselect": false, "options": ["std", "pro"]}], "duration": ["COMBO", {"multiselect": false, "options": ["5", "10"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image_left", "image_right", "effect_scene", "model_name", "mode", "duration"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO", "STRING"], "output_is_list": [false, false], "output_name": ["VIDEO", "duration"], "output_tooltips": [null, null], "output_matchtypes": null, "name": "KlingDualCharacterVideoEffectNode", "display_name": "Kling Dual Character Video Effects", "description": "Achieve different special effects when generating a video based on the effect_scene. First image will be positioned on left side, second on right side of the composite.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "mode", "type": "COMBO"}, {"name": "model_name", "type": "COMBO"}, {"name": "duration", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $mode := widgets.mode;\n                  $model := widgets.model_name;\n                  $dur := widgets.duration;\n                  ($contains($model,\"v1-6\") or $contains($model,\"v1-5\"))\n                    ? (\n                        $contains($mode,\"pro\")\n                          ? ($contains($dur,\"10\") ? {\"type\":\"usd\",\"usd\":0.98} : {\"type\":\"usd\",\"usd\":0.49})\n                          : ($contains($dur,\"10\") ? {\"type\":\"usd\",\"usd\":0.56} : {\"type\":\"usd\",\"usd\":0.28})\n                      )\n                    : $contains($model,\"v1\")\n                      ? (\n                          $contains($mode,\"pro\")\n                            ? ($contains($dur,\"10\") ? {\"type\":\"usd\",\"usd\":0.98} : {\"type\":\"usd\",\"usd\":0.49})\n                            : ($contains($dur,\"10\") ? {\"type\":\"usd\",\"usd\":0.28} : {\"type\":\"usd\",\"usd\":0.14})\n                        )\n                      : {\"type\":\"usd\",\"usd\":0.14}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingOmniProTextToVideoNode": {"input": {"required": {"model_name": ["COMBO", {"multiselect": false, "options": ["kling-v3-omni", "kling-video-o1"]}], "prompt": ["STRING", {"tooltip": "A text prompt describing the video content. This can include both positive and negative descriptions. Ignored when storyboards are enabled.", "multiline": true}], "aspect_ratio": ["COMBO", {"multiselect": false, "options": ["16:9", "9:16", "1:1"]}], "duration": ["INT", {"default": 5, "min": 3, "max": 15, "display": "slider"}]}, "optional": {"resolution": ["COMBO", {"multiselect": false, "options": ["1080p", "720p"]}], "storyboards": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Generate a series of video segments with individual prompts and durations. Ignored for o1 model.", "options": [{"key": "disabled", "inputs": {"required": {}}}, {"key": "1 storyboard", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "2 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "3 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "4 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "5 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_5_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 5. Max 512 characters.", "default": "", "multiline": true}], "storyboard_5_duration": ["INT", {"tooltip": "Duration for storyboard segment 5 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "6 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_5_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 5. Max 512 characters.", "default": "", "multiline": true}], "storyboard_5_duration": ["INT", {"tooltip": "Duration for storyboard segment 5 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_6_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 6. Max 512 characters.", "default": "", "multiline": true}], "storyboard_6_duration": ["INT", {"tooltip": "Duration for storyboard segment 6 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}]}], "generate_audio": ["BOOLEAN", {"default": false}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_name", "prompt", "aspect_ratio", "duration"], "optional": ["resolution", "storyboards", "generate_audio", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingOmniProTextToVideoNode", "display_name": "Kling 3.0 Omni Text to Video", "description": "Use text prompts to generate videos with the latest Kling model.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}, {"name": "model_name", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $mode := (widgets.resolution = \"720p\") ? \"std\" : \"pro\";\n                  $isV3 := $contains(widgets.model_name, \"v3\");\n                  $audio := $isV3 and widgets.generate_audio;\n                  $rates := $audio\n                    ? {\"std\": 0.112, \"pro\": 0.14}\n                    : {\"std\": 0.084, \"pro\": 0.112};\n                  {\"type\":\"usd\",\"usd\": $lookup($rates, $mode) * widgets.duration}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingOmniProFirstLastFrameNode": {"input": {"required": {"model_name": ["COMBO", {"multiselect": false, "options": ["kling-v3-omni", "kling-video-o1"]}], "prompt": ["STRING", {"tooltip": "A text prompt describing the video content. This can include both positive and negative descriptions. Ignored when storyboards are enabled.", "multiline": true}], "duration": ["INT", {"default": 5, "min": 3, "max": 15, "display": "slider"}], "first_frame": ["IMAGE", {}]}, "optional": {"end_frame": ["IMAGE", {"tooltip": "An optional end frame for the video. This cannot be used simultaneously with 'reference_images'. Does not work with storyboards."}], "reference_images": ["IMAGE", {"tooltip": "Up to 6 additional reference images."}], "resolution": ["COMBO", {"multiselect": false, "options": ["1080p", "720p"]}], "storyboards": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Generate a series of video segments with individual prompts and durations. Only supported for kling-v3-omni.", "options": [{"key": "disabled", "inputs": {"required": {}}}, {"key": "1 storyboard", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "2 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "3 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "4 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "5 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_5_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 5. Max 512 characters.", "default": "", "multiline": true}], "storyboard_5_duration": ["INT", {"tooltip": "Duration for storyboard segment 5 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "6 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_5_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 5. Max 512 characters.", "default": "", "multiline": true}], "storyboard_5_duration": ["INT", {"tooltip": "Duration for storyboard segment 5 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_6_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 6. Max 512 characters.", "default": "", "multiline": true}], "storyboard_6_duration": ["INT", {"tooltip": "Duration for storyboard segment 6 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}]}], "generate_audio": ["BOOLEAN", {"tooltip": "Generate audio for the video. Only supported for kling-v3-omni.", "default": false}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_name", "prompt", "duration", "first_frame"], "optional": ["end_frame", "reference_images", "resolution", "storyboards", "generate_audio", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingOmniProFirstLastFrameNode", "display_name": "Kling 3.0 Omni First-Last-Frame to Video", "description": "Use a start frame, an optional end frame, or reference images with the latest Kling model.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}, {"name": "model_name", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $mode := (widgets.resolution = \"720p\") ? \"std\" : \"pro\";\n                  $isV3 := $contains(widgets.model_name, \"v3\");\n                  $audio := $isV3 and widgets.generate_audio;\n                  $rates := $audio\n                    ? {\"std\": 0.112, \"pro\": 0.14}\n                    : {\"std\": 0.084, \"pro\": 0.112};\n                  {\"type\":\"usd\",\"usd\": $lookup($rates, $mode) * widgets.duration}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingOmniProImageToVideoNode": {"input": {"required": {"model_name": ["COMBO", {"multiselect": false, "options": ["kling-v3-omni", "kling-video-o1"]}], "prompt": ["STRING", {"tooltip": "A text prompt describing the video content. This can include both positive and negative descriptions. Ignored when storyboards are enabled.", "multiline": true}], "aspect_ratio": ["COMBO", {"multiselect": false, "options": ["16:9", "9:16", "1:1"]}], "duration": ["INT", {"default": 5, "min": 3, "max": 15, "display": "slider"}], "reference_images": ["IMAGE", {"tooltip": "Up to 7 reference images."}]}, "optional": {"resolution": ["COMBO", {"multiselect": false, "options": ["1080p", "720p"]}], "storyboards": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Generate a series of video segments with individual prompts and durations. Only supported for kling-v3-omni.", "options": [{"key": "disabled", "inputs": {"required": {}}}, {"key": "1 storyboard", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "2 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "3 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "4 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "5 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_5_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 5. Max 512 characters.", "default": "", "multiline": true}], "storyboard_5_duration": ["INT", {"tooltip": "Duration for storyboard segment 5 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "6 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_5_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 5. Max 512 characters.", "default": "", "multiline": true}], "storyboard_5_duration": ["INT", {"tooltip": "Duration for storyboard segment 5 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_6_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 6. Max 512 characters.", "default": "", "multiline": true}], "storyboard_6_duration": ["INT", {"tooltip": "Duration for storyboard segment 6 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}]}], "generate_audio": ["BOOLEAN", {"tooltip": "Generate audio for the video. Only supported for kling-v3-omni.", "default": false}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_name", "prompt", "aspect_ratio", "duration", "reference_images"], "optional": ["resolution", "storyboards", "generate_audio", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingOmniProImageToVideoNode", "display_name": "Kling 3.0 Omni Image to Video", "description": "Use up to 7 reference images to generate a video with the latest Kling model.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}, {"name": "model_name", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $mode := (widgets.resolution = \"720p\") ? \"std\" : \"pro\";\n                  $isV3 := $contains(widgets.model_name, \"v3\");\n                  $audio := $isV3 and widgets.generate_audio;\n                  $rates := $audio\n                    ? {\"std\": 0.112, \"pro\": 0.14}\n                    : {\"std\": 0.084, \"pro\": 0.112};\n                  {\"type\":\"usd\",\"usd\": $lookup($rates, $mode) * widgets.duration}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingOmniProVideoToVideoNode": {"input": {"required": {"model_name": ["COMBO", {"multiselect": false, "options": ["kling-v3-omni", "kling-video-o1"]}], "prompt": ["STRING", {"tooltip": "A text prompt describing the video content. This can include both positive and negative descriptions.", "multiline": true}], "aspect_ratio": ["COMBO", {"multiselect": false, "options": ["16:9", "9:16", "1:1"]}], "duration": ["INT", {"default": 3, "min": 3, "max": 10, "display": "slider"}], "reference_video": ["VIDEO", {"tooltip": "Video to use as a reference."}], "keep_original_sound": ["BOOLEAN", {"default": true}]}, "optional": {"reference_images": ["IMAGE", {"tooltip": "Up to 4 additional reference images."}], "resolution": ["COMBO", {"multiselect": false, "options": ["1080p", "720p"]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_name", "prompt", "aspect_ratio", "duration", "reference_video", "keep_original_sound"], "optional": ["reference_images", "resolution", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingOmniProVideoToVideoNode", "display_name": "Kling 3.0 Omni Video to Video", "description": "Use a video and up to 4 reference images to generate a video with the latest Kling model.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $mode := (widgets.resolution = \"720p\") ? \"std\" : \"pro\";\n                  $rates := {\"std\": 0.126, \"pro\": 0.168};\n                  {\"type\":\"usd\",\"usd\": $lookup($rates, $mode) * widgets.duration}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingOmniProEditVideoNode": {"input": {"required": {"model_name": ["COMBO", {"multiselect": false, "options": ["kling-v3-omni", "kling-video-o1"]}], "prompt": ["STRING", {"tooltip": "A text prompt describing the video content. This can include both positive and negative descriptions.", "multiline": true}], "video": ["VIDEO", {"tooltip": "Video for editing. The output video length will be the same."}], "keep_original_sound": ["BOOLEAN", {"default": true}]}, "optional": {"reference_images": ["IMAGE", {"tooltip": "Up to 4 additional reference images."}], "resolution": ["COMBO", {"multiselect": false, "options": ["1080p", "720p"]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_name", "prompt", "video", "keep_original_sound"], "optional": ["reference_images", "resolution", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingOmniProEditVideoNode", "display_name": "Kling 3.0 Omni Edit Video", "description": "Edit an existing video with the latest model from Kling.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $mode := (widgets.resolution = \"720p\") ? \"std\" : \"pro\";\n                  $rates := {\"std\": 0.126, \"pro\": 0.168};\n                  {\"type\":\"usd\",\"usd\": $lookup($rates, $mode), \"format\":{\"suffix\":\"/second\"}}\n                )\n                "}, "search_aliases": null, "essentials_category": "Video Generation", "has_intermediate_output": false}, "KlingOmniProImageNode": {"input": {"required": {"model_name": ["COMBO", {"multiselect": false, "options": ["kling-v3-omni", "kling-image-o1"]}], "prompt": ["STRING", {"tooltip": "A text prompt describing the image content. This can include both positive and negative descriptions.", "multiline": true}], "resolution": ["COMBO", {"multiselect": false, "options": ["1K", "2K", "4K"]}], "aspect_ratio": ["COMBO", {"multiselect": false, "options": ["16:9", "9:16", "1:1", "4:3", "3:4", "3:2", "2:3", "21:9"]}], "series_amount": ["COMBO", {"tooltip": "Generate a series of images. Not supported for kling-image-o1.", "multiselect": false, "options": ["disabled", "2", "3", "4", "5", "6", "7", "8", "9"]}]}, "optional": {"reference_images": ["IMAGE", {"tooltip": "Up to 10 additional reference images."}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_name", "prompt", "resolution", "aspect_ratio", "series_amount"], "optional": ["reference_images", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingOmniProImageNode", "display_name": "Kling 3.0 Omni Image", "description": "Create or edit images with the latest model from Kling.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/image/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "resolution", "type": "COMBO"}, {"name": "series_amount", "type": "COMBO"}, {"name": "model_name", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $prices := {\"1k\": 0.028, \"2k\": 0.028, \"4k\": 0.056};\n                  $base := $lookup($prices, widgets.resolution);\n                  $isO1 := widgets.model_name = \"kling-image-o1\";\n                  $mult := ($isO1 or widgets.series_amount = \"disabled\") ? 1 : $number(widgets.series_amount);\n                  {\"type\":\"usd\",\"usd\": $base * $mult}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingTextToVideoWithAudio": {"input": {"required": {"model_name": ["COMBO", {"multiselect": false, "options": ["kling-v2-6"]}], "prompt": ["STRING", {"tooltip": "Positive text prompt.", "multiline": true}], "mode": ["COMBO", {"multiselect": false, "options": ["pro"]}], "aspect_ratio": ["COMBO", {"multiselect": false, "options": ["16:9", "9:16", "1:1"]}], "duration": ["COMBO", {"multiselect": false, "options": [5, 10]}], "generate_audio": ["BOOLEAN", {"advanced": true, "default": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_name", "prompt", "mode", "aspect_ratio", "duration", "generate_audio"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingTextToVideoWithAudio", "display_name": "Kling 2.6 Text to Video with Audio", "description": "", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 0.07 * widgets.duration * (widgets.generate_audio ? 2 : 1)}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingImageToVideoWithAudio": {"input": {"required": {"model_name": ["COMBO", {"multiselect": false, "options": ["kling-v2-6"]}], "start_frame": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "Positive text prompt.", "multiline": true}], "mode": ["COMBO", {"multiselect": false, "options": ["pro"]}], "duration": ["COMBO", {"multiselect": false, "options": [5, 10]}], "generate_audio": ["BOOLEAN", {"advanced": true, "default": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model_name", "start_frame", "prompt", "mode", "duration", "generate_audio"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingImageToVideoWithAudio", "display_name": "Kling 2.6 Image(First Frame) to Video with Audio", "description": "", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 0.07 * widgets.duration * (widgets.generate_audio ? 2 : 1)}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingMotionControl": {"input": {"required": {"prompt": ["STRING", {"multiline": true}], "reference_image": ["IMAGE", {}], "reference_video": ["VIDEO", {"tooltip": "Motion reference video used to drive movement/expression.\nDuration limits depend on character_orientation:\n - image: 3\u201310s (max 10s)\n - video: 3\u201330s (max 30s)"}], "keep_original_sound": ["BOOLEAN", {"default": true}], "character_orientation": ["COMBO", {"tooltip": "Controls where the character's facing/orientation comes from.\nvideo: movements, expressions, camera moves, and orientation follow the motion reference video (other details via prompt).\nimage: movements and expressions still follow the motion reference video, but the character orientation matches the reference image (camera/other details via prompt).", "multiselect": false, "options": ["video", "image"]}], "mode": ["COMBO", {"multiselect": false, "options": ["pro", "std"]}]}, "optional": {"model": ["COMBO", {"multiselect": false, "options": ["kling-v3", "kling-v2-6"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "reference_image", "reference_video", "keep_original_sound", "character_orientation", "mode"], "optional": ["model"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingMotionControl", "display_name": "Kling Motion Control", "description": "", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "mode", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $prices := {\"std\": 0.07, \"pro\": 0.112};\n                  {\"type\":\"usd\",\"usd\": $lookup($prices, widgets.mode), \"format\":{\"suffix\":\"/second\"}}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingVideoNode": {"input": {"required": {"multi_shot": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Generate a series of video segments with individual prompts and durations.", "options": [{"key": "disabled", "inputs": {"required": {"prompt": ["STRING", {"default": "", "multiline": true}], "negative_prompt": ["STRING", {"default": "", "multiline": true}], "duration": ["INT", {"default": 5, "min": 3, "max": 15, "display": "slider"}]}}}, {"key": "1 storyboard", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "2 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "3 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "4 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "5 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_5_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 5. Max 512 characters.", "default": "", "multiline": true}], "storyboard_5_duration": ["INT", {"tooltip": "Duration for storyboard segment 5 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}, {"key": "6 storyboards", "inputs": {"required": {"storyboard_1_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 1. Max 512 characters.", "default": "", "multiline": true}], "storyboard_1_duration": ["INT", {"tooltip": "Duration for storyboard segment 1 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_2_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 2. Max 512 characters.", "default": "", "multiline": true}], "storyboard_2_duration": ["INT", {"tooltip": "Duration for storyboard segment 2 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_3_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 3. Max 512 characters.", "default": "", "multiline": true}], "storyboard_3_duration": ["INT", {"tooltip": "Duration for storyboard segment 3 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_4_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 4. Max 512 characters.", "default": "", "multiline": true}], "storyboard_4_duration": ["INT", {"tooltip": "Duration for storyboard segment 4 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_5_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 5. Max 512 characters.", "default": "", "multiline": true}], "storyboard_5_duration": ["INT", {"tooltip": "Duration for storyboard segment 5 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}], "storyboard_6_prompt": ["STRING", {"tooltip": "Prompt for storyboard segment 6. Max 512 characters.", "default": "", "multiline": true}], "storyboard_6_duration": ["INT", {"tooltip": "Duration for storyboard segment 6 in seconds.", "default": 4, "min": 1, "max": 15, "display": "slider"}]}}}]}], "generate_audio": ["BOOLEAN", {"default": true}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model and generation settings.", "options": [{"key": "kling-v3", "inputs": {"required": {"resolution": ["COMBO", {"multiselect": false, "options": ["1080p", "720p"]}], "aspect_ratio": ["COMBO", {"tooltip": "Ignored in image-to-video mode.", "multiselect": false, "options": ["16:9", "9:16", "1:1"]}]}}}]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "optional": {"start_frame": ["IMAGE", {"tooltip": "Optional start frame image. When connected, switches to image-to-video mode."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["multi_shot", "generate_audio", "model", "seed"], "optional": ["start_frame"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingVideoNode", "display_name": "Kling 3.0 Video", "description": "Generate videos with Kling V3. Supports text-to-video and image-to-video with optional storyboard multi-prompt and audio generation.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model.resolution", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}, {"name": "multi_shot", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "multi_shot.duration", "type": "INT"}, {"name": "multi_shot.storyboard_1_duration", "type": "INT"}, {"name": "multi_shot.storyboard_2_duration", "type": "INT"}, {"name": "multi_shot.storyboard_3_duration", "type": "INT"}, {"name": "multi_shot.storyboard_4_duration", "type": "INT"}, {"name": "multi_shot.storyboard_5_duration", "type": "INT"}, {"name": "multi_shot.storyboard_6_duration", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $rates := {\"1080p\": {\"off\": 0.112, \"on\": 0.168}, \"720p\": {\"off\": 0.084, \"on\": 0.126}};\n                  $res := $lookup(widgets, \"model.resolution\");\n                  $audio := widgets.generate_audio ? \"on\" : \"off\";\n                  $rate := $lookup($lookup($rates, $res), $audio);\n                  $ms := widgets.multi_shot;\n                  $isSb := $ms != \"disabled\";\n                  $n := $isSb ? $number($substring($ms, 0, 1)) : 0;\n                  $d1 := $lookup(widgets, \"multi_shot.storyboard_1_duration\");\n                  $d2 := $n >= 2 ? $lookup(widgets, \"multi_shot.storyboard_2_duration\") : 0;\n                  $d3 := $n >= 3 ? $lookup(widgets, \"multi_shot.storyboard_3_duration\") : 0;\n                  $d4 := $n >= 4 ? $lookup(widgets, \"multi_shot.storyboard_4_duration\") : 0;\n                  $d5 := $n >= 5 ? $lookup(widgets, \"multi_shot.storyboard_5_duration\") : 0;\n                  $d6 := $n >= 6 ? $lookup(widgets, \"multi_shot.storyboard_6_duration\") : 0;\n                  $dur := $isSb ? $d1 + $d2 + $d3 + $d4 + $d5 + $d6 : $lookup(widgets, \"multi_shot.duration\");\n                  {\"type\":\"usd\",\"usd\": $rate * $dur}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingFirstLastFrameNode": {"input": {"required": {"prompt": ["STRING", {"default": "", "multiline": true}], "duration": ["INT", {"default": 5, "min": 3, "max": 15, "display": "slider"}], "first_frame": ["IMAGE", {}], "end_frame": ["IMAGE", {}], "generate_audio": ["BOOLEAN", {"default": true}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model and generation settings.", "options": [{"key": "kling-v3", "inputs": {"required": {"resolution": ["COMBO", {"multiselect": false, "options": ["1080p", "720p"]}]}}}]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "duration", "first_frame", "end_frame", "generate_audio", "model", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingFirstLastFrameNode", "display_name": "Kling 3.0 First-Last-Frame to Video", "description": "Generate videos with Kling V3 using first and last frames.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model.resolution", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}, {"name": "duration", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $rates := {\"1080p\": {\"off\": 0.112, \"on\": 0.168}, \"720p\": {\"off\": 0.084, \"on\": 0.126}};\n                  $res := $lookup(widgets, \"model.resolution\");\n                  $audio := widgets.generate_audio ? \"on\" : \"off\";\n                  $rate := $lookup($lookup($rates, $res), $audio);\n                  {\"type\":\"usd\",\"usd\": $rate * widgets.duration}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "KlingAvatarNode": {"input": {"required": {"image": ["IMAGE", {"tooltip": "Avatar reference image. Width and height must be at least 300px. Aspect ratio must be between 1:2.5 and 2.5:1."}], "sound_file": ["AUDIO", {"tooltip": "Audio input. Must be between 2 and 300 seconds in duration."}], "mode": ["COMBO", {"multiselect": false, "options": ["std", "pro"]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "optional": {"prompt": ["STRING", {"tooltip": "Optional prompt to define avatar actions, emotions, and camera movements.", "default": "", "multiline": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "sound_file", "mode", "seed"], "optional": ["prompt"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "KlingAvatarNode", "display_name": "Kling Avatar 2.0", "description": "Generate broadcast-style digital human videos from a single photo and an audio file.", "python_module": "comfy_api_nodes.nodes_kling", "category": "api node/video/Kling", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "mode", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $prices := {\"std\": 0.056, \"pro\": 0.112};\n                  {\"type\":\"usd\",\"usd\": $lookup($prices, widgets.mode), \"format\":{\"suffix\":\"/second\"}}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "LtxvApiTextToVideo": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["LTX-2 (Pro)", "LTX-2 (Fast)"]}], "prompt": ["STRING", {"default": "", "multiline": true}], "duration": ["COMBO", {"default": 8, "multiselect": false, "options": [6, 8, 10, 12, 14, 16, 18, 20]}], "resolution": ["COMBO", {"multiselect": false, "options": ["1920x1080", "2560x1440", "3840x2160"]}], "fps": ["COMBO", {"default": 25, "multiselect": false, "options": [25, 50]}]}, "optional": {"generate_audio": ["BOOLEAN", {"tooltip": "When true, the generated video will include AI-generated audio matching the scene.", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "duration", "resolution", "fps"], "optional": ["generate_audio"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "LtxvApiTextToVideo", "display_name": "LTXV Text To Video", "description": "Professional-quality videos with customizable duration and resolution.", "python_module": "comfy_api_nodes.nodes_ltxv", "category": "api node/video/LTXV", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "duration", "type": "COMBO"}, {"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $prices := {\n        \"ltx-2 (pro)\": {\"1920x1080\":0.06,\"2560x1440\":0.12,\"3840x2160\":0.24},\n        \"ltx-2 (fast)\": {\"1920x1080\":0.04,\"2560x1440\":0.08,\"3840x2160\":0.16}\n      };\n      $modelPrices := $lookup($prices, $lowercase(widgets.model));\n      $pps := $lookup($modelPrices, widgets.resolution);\n      {\"type\":\"usd\",\"usd\": $pps * widgets.duration}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "LtxvApiImageToVideo": {"input": {"required": {"image": ["IMAGE", {"tooltip": "First frame to be used for the video."}], "model": ["COMBO", {"multiselect": false, "options": ["LTX-2 (Pro)", "LTX-2 (Fast)"]}], "prompt": ["STRING", {"default": "", "multiline": true}], "duration": ["COMBO", {"default": 8, "multiselect": false, "options": [6, 8, 10, 12, 14, 16, 18, 20]}], "resolution": ["COMBO", {"multiselect": false, "options": ["1920x1080", "2560x1440", "3840x2160"]}], "fps": ["COMBO", {"default": 25, "multiselect": false, "options": [25, 50]}]}, "optional": {"generate_audio": ["BOOLEAN", {"tooltip": "When true, the generated video will include AI-generated audio matching the scene.", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "model", "prompt", "duration", "resolution", "fps"], "optional": ["generate_audio"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "LtxvApiImageToVideo", "display_name": "LTXV Image To Video", "description": "Professional-quality videos with customizable duration and resolution based on start image.", "python_module": "comfy_api_nodes.nodes_ltxv", "category": "api node/video/LTXV", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "duration", "type": "COMBO"}, {"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $prices := {\n        \"ltx-2 (pro)\": {\"1920x1080\":0.06,\"2560x1440\":0.12,\"3840x2160\":0.24},\n        \"ltx-2 (fast)\": {\"1920x1080\":0.04,\"2560x1440\":0.08,\"3840x2160\":0.16}\n      };\n      $modelPrices := $lookup($prices, $lowercase(widgets.model));\n      $pps := $lookup($modelPrices, widgets.resolution);\n      {\"type\":\"usd\",\"usd\": $pps * widgets.duration}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "LumaImageNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation", "default": "", "multiline": true}], "model": ["COMBO", {"multiselect": false, "options": ["photon-1", "photon-flash-1"]}], "aspect_ratio": ["COMBO", {"default": "16:9", "multiselect": false, "options": ["1:1", "16:9", "9:16", "4:3", "3:4", "21:9", "9:21"]}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}], "style_image_weight": ["FLOAT", {"tooltip": "Weight of style image. Ignored if no style_image provided.", "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}]}, "optional": {"image_luma_ref": ["LUMA_REF", {"tooltip": "Luma Reference node connection to influence generation with input images; up to 4 images can be considered."}], "style_image": ["IMAGE", {"tooltip": "Style reference image; only 1 image will be used."}], "character_image": ["IMAGE", {"tooltip": "Character reference images; can be a batch of multiple, up to 4 images can be considered."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "model", "aspect_ratio", "seed", "style_image_weight"], "optional": ["image_luma_ref", "style_image", "character_image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "LumaImageNode", "display_name": "Luma Text to Image", "description": "Generates images synchronously based on prompt and aspect ratio.", "python_module": "comfy_api_nodes.nodes_luma", "category": "api node/image/Luma", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.model;\n                  $contains($m,\"photon-flash-1\")\n                    ? {\"type\":\"usd\",\"usd\":0.0027}\n                    : $contains($m,\"photon-1\")\n                      ? {\"type\":\"usd\",\"usd\":0.0104}\n                      : {\"type\":\"usd\",\"usd\":0.0246}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "LumaImageModifyNode": {"input": {"required": {"image": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "Prompt for the image generation", "default": "", "multiline": true}], "image_weight": ["FLOAT", {"tooltip": "Weight of the image; the closer to 1.0, the less the image will be modified.", "default": 0.1, "min": 0.0, "max": 0.98, "step": 0.01}], "model": ["COMBO", {"multiselect": false, "options": ["photon-1", "photon-flash-1"]}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "prompt", "image_weight", "model", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "LumaImageModifyNode", "display_name": "Luma Image to Image", "description": "Modifies images synchronously based on prompt and aspect ratio.", "python_module": "comfy_api_nodes.nodes_luma", "category": "api node/image/Luma", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.model;\n                  $contains($m,\"photon-flash-1\")\n                    ? {\"type\":\"usd\",\"usd\":0.0027}\n                    : $contains($m,\"photon-1\")\n                      ? {\"type\":\"usd\",\"usd\":0.0104}\n                      : {\"type\":\"usd\",\"usd\":0.0246}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "LumaVideoNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the video generation", "default": "", "multiline": true}], "model": ["COMBO", {"multiselect": false, "options": ["ray-2", "ray-flash-2", "ray-1-6"]}], "aspect_ratio": ["COMBO", {"default": "16:9", "multiselect": false, "options": ["1:1", "16:9", "9:16", "4:3", "3:4", "21:9", "9:21"]}], "resolution": ["COMBO", {"default": "540p", "multiselect": false, "options": ["540p", "720p", "1080p", "4k"]}], "duration": ["COMBO", {"multiselect": false, "options": ["5s", "9s"]}], "loop": ["BOOLEAN", {"default": false}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "optional": {"luma_concepts": ["LUMA_CONCEPTS", {"tooltip": "Optional Camera Concepts to dictate camera motion via the Luma Concepts node."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "model", "aspect_ratio", "resolution", "duration", "loop", "seed"], "optional": ["luma_concepts"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "LumaVideoNode", "display_name": "Luma Text to Video", "description": "Generates videos synchronously based on prompt and output_size.", "python_module": "comfy_api_nodes.nodes_luma", "category": "api node/video/Luma", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "resolution", "type": "COMBO"}, {"name": "duration", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $p := {\n        \"ray-flash-2\": {\n          \"5s\": {\"4k\":3.13,\"1080p\":0.79,\"720p\":0.34,\"540p\":0.2},\n          \"9s\": {\"4k\":5.65,\"1080p\":1.42,\"720p\":0.61,\"540p\":0.36}\n        },\n        \"ray-2\": {\n          \"5s\": {\"4k\":9.11,\"1080p\":2.27,\"720p\":1.02,\"540p\":0.57},\n          \"9s\": {\"4k\":16.4,\"1080p\":4.1,\"720p\":1.83,\"540p\":1.03}\n        }\n      };\n\n      $m := widgets.model;\n      $d := widgets.duration;\n      $r := widgets.resolution;\n\n      $modelKey :=\n        $contains($m,\"ray-flash-2\") ? \"ray-flash-2\" :\n        $contains($m,\"ray-2\") ? \"ray-2\" :\n        $contains($m,\"ray-1-6\") ? \"ray-1-6\" :\n        \"other\";\n\n      $durKey := $contains($d,\"5s\") ? \"5s\" : $contains($d,\"9s\") ? \"9s\" : \"\";\n      $resKey :=\n        $contains($r,\"4k\") ? \"4k\" :\n        $contains($r,\"1080p\") ? \"1080p\" :\n        $contains($r,\"720p\") ? \"720p\" :\n        $contains($r,\"540p\") ? \"540p\" : \"\";\n\n      $modelPrices := $lookup($p, $modelKey);\n      $durPrices := $lookup($modelPrices, $durKey);\n      $v := $lookup($durPrices, $resKey);\n\n      $price :=\n        ($modelKey = \"ray-1-6\") ? 0.5 :\n        ($modelKey = \"other\") ? 0.79 :\n        ($exists($v) ? $v : 0.79);\n\n      {\"type\":\"usd\",\"usd\": $price}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "LumaImageToVideoNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the video generation", "default": "", "multiline": true}], "model": ["COMBO", {"multiselect": false, "options": ["ray-2", "ray-flash-2", "ray-1-6"]}], "resolution": ["COMBO", {"default": "540p", "multiselect": false, "options": ["540p", "720p", "1080p", "4k"]}], "duration": ["COMBO", {"multiselect": false, "options": ["5s", "9s"]}], "loop": ["BOOLEAN", {"default": false}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "optional": {"first_image": ["IMAGE", {"tooltip": "First frame of generated video."}], "last_image": ["IMAGE", {"tooltip": "Last frame of generated video."}], "luma_concepts": ["LUMA_CONCEPTS", {"tooltip": "Optional Camera Concepts to dictate camera motion via the Luma Concepts node."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "model", "resolution", "duration", "loop", "seed"], "optional": ["first_image", "last_image", "luma_concepts"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "LumaImageToVideoNode", "display_name": "Luma Image to Video", "description": "Generates videos synchronously based on prompt, input images, and output_size.", "python_module": "comfy_api_nodes.nodes_luma", "category": "api node/video/Luma", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "resolution", "type": "COMBO"}, {"name": "duration", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $p := {\n        \"ray-flash-2\": {\n          \"5s\": {\"4k\":3.13,\"1080p\":0.79,\"720p\":0.34,\"540p\":0.2},\n          \"9s\": {\"4k\":5.65,\"1080p\":1.42,\"720p\":0.61,\"540p\":0.36}\n        },\n        \"ray-2\": {\n          \"5s\": {\"4k\":9.11,\"1080p\":2.27,\"720p\":1.02,\"540p\":0.57},\n          \"9s\": {\"4k\":16.4,\"1080p\":4.1,\"720p\":1.83,\"540p\":1.03}\n        }\n      };\n\n      $m := widgets.model;\n      $d := widgets.duration;\n      $r := widgets.resolution;\n\n      $modelKey :=\n        $contains($m,\"ray-flash-2\") ? \"ray-flash-2\" :\n        $contains($m,\"ray-2\") ? \"ray-2\" :\n        $contains($m,\"ray-1-6\") ? \"ray-1-6\" :\n        \"other\";\n\n      $durKey := $contains($d,\"5s\") ? \"5s\" : $contains($d,\"9s\") ? \"9s\" : \"\";\n      $resKey :=\n        $contains($r,\"4k\") ? \"4k\" :\n        $contains($r,\"1080p\") ? \"1080p\" :\n        $contains($r,\"720p\") ? \"720p\" :\n        $contains($r,\"540p\") ? \"540p\" : \"\";\n\n      $modelPrices := $lookup($p, $modelKey);\n      $durPrices := $lookup($modelPrices, $durKey);\n      $v := $lookup($durPrices, $resKey);\n\n      $price :=\n        ($modelKey = \"ray-1-6\") ? 0.5 :\n        ($modelKey = \"other\") ? 0.79 :\n        ($exists($v) ? $v : 0.79);\n\n      {\"type\":\"usd\",\"usd\": $price}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "LumaReferenceNode": {"input": {"required": {"image": ["IMAGE", {"tooltip": "Image to use as reference."}], "weight": ["FLOAT", {"tooltip": "Weight of image reference.", "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}]}, "optional": {"luma_ref": ["LUMA_REF", {}]}}, "input_order": {"required": ["image", "weight"], "optional": ["luma_ref"]}, "is_input_list": false, "output": ["LUMA_REF"], "output_is_list": [false], "output_name": ["luma_ref"], "output_tooltips": [null], "output_matchtypes": null, "name": "LumaReferenceNode", "display_name": "Luma Reference", "description": "Holds an image and weight for use with Luma Generate Image node.", "python_module": "comfy_api_nodes.nodes_luma", "category": "api node/image/Luma", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "LumaConceptsNode": {"input": {"required": {"concept1": ["COMBO", {"multiselect": false, "options": ["None", "truck_left", "pan_right", "pedestal_down", "low_angle", "pedestal_up", "selfie", "pan_left", "roll_right", "zoom_in", "over_the_shoulder", "orbit_right", "orbit_left", "static", "tiny_planet", "high_angle", "bolt_cam", "dolly_zoom", "overhead", "zoom_out", "handheld", "roll_left", "pov", "aerial_drone", "push_in", "crane_down", "truck_right", "tilt_down", "elevator_doors", "tilt_up", "ground_level", "pull_out", "aerial", "crane_up", "eye_level"]}], "concept2": ["COMBO", {"multiselect": false, "options": ["None", "truck_left", "pan_right", "pedestal_down", "low_angle", "pedestal_up", "selfie", "pan_left", "roll_right", "zoom_in", "over_the_shoulder", "orbit_right", "orbit_left", "static", "tiny_planet", "high_angle", "bolt_cam", "dolly_zoom", "overhead", "zoom_out", "handheld", "roll_left", "pov", "aerial_drone", "push_in", "crane_down", "truck_right", "tilt_down", "elevator_doors", "tilt_up", "ground_level", "pull_out", "aerial", "crane_up", "eye_level"]}], "concept3": ["COMBO", {"multiselect": false, "options": ["None", "truck_left", "pan_right", "pedestal_down", "low_angle", "pedestal_up", "selfie", "pan_left", "roll_right", "zoom_in", "over_the_shoulder", "orbit_right", "orbit_left", "static", "tiny_planet", "high_angle", "bolt_cam", "dolly_zoom", "overhead", "zoom_out", "handheld", "roll_left", "pov", "aerial_drone", "push_in", "crane_down", "truck_right", "tilt_down", "elevator_doors", "tilt_up", "ground_level", "pull_out", "aerial", "crane_up", "eye_level"]}], "concept4": ["COMBO", {"multiselect": false, "options": ["None", "truck_left", "pan_right", "pedestal_down", "low_angle", "pedestal_up", "selfie", "pan_left", "roll_right", "zoom_in", "over_the_shoulder", "orbit_right", "orbit_left", "static", "tiny_planet", "high_angle", "bolt_cam", "dolly_zoom", "overhead", "zoom_out", "handheld", "roll_left", "pov", "aerial_drone", "push_in", "crane_down", "truck_right", "tilt_down", "elevator_doors", "tilt_up", "ground_level", "pull_out", "aerial", "crane_up", "eye_level"]}]}, "optional": {"luma_concepts": ["LUMA_CONCEPTS", {"tooltip": "Optional Camera Concepts to add to the ones chosen here."}]}}, "input_order": {"required": ["concept1", "concept2", "concept3", "concept4"], "optional": ["luma_concepts"]}, "is_input_list": false, "output": ["LUMA_CONCEPTS"], "output_is_list": [false], "output_name": ["luma_concepts"], "output_tooltips": [null], "output_matchtypes": null, "name": "LumaConceptsNode", "display_name": "Luma Concepts", "description": "Camera Concepts for use with Luma Text to Video and Luma Image to Video nodes.", "python_module": "comfy_api_nodes.nodes_luma", "category": "api node/video/Luma", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MagnificImageUpscalerCreativeNode": {"input": {"required": {"image": ["IMAGE", {}], "prompt": ["STRING", {"default": "", "multiline": true}], "scale_factor": ["COMBO", {"multiselect": false, "options": ["2x", "4x", "8x", "16x"]}], "optimized_for": ["COMBO", {"multiselect": false, "options": ["standard", "soft_portraits", "hard_portraits", "art_n_illustration", "videogame_assets", "nature_n_landscapes", "films_n_photography", "3d_renders", "science_fiction_n_horror"]}], "creativity": ["INT", {"default": 0, "min": -10, "max": 10, "display": "slider"}], "hdr": ["INT", {"tooltip": "The level of definition and detail.", "default": 0, "min": -10, "max": 10, "display": "slider"}], "resemblance": ["INT", {"tooltip": "The level of resemblance to the original image.", "default": 0, "min": -10, "max": 10, "display": "slider"}], "fractality": ["INT", {"tooltip": "The strength of the prompt and intricacy per square pixel.", "default": 0, "min": -10, "max": 10, "display": "slider"}], "engine": ["COMBO", {"advanced": true, "multiselect": false, "options": ["automatic", "magnific_illusio", "magnific_sharpy", "magnific_sparkle"]}], "auto_downscale": ["BOOLEAN", {"tooltip": "Automatically downscale input image if output would exceed maximum pixel limit.", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "prompt", "scale_factor", "optimized_for", "creativity", "hdr", "resemblance", "fractality", "engine", "auto_downscale"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "MagnificImageUpscalerCreativeNode", "display_name": "Magnific Image Upscale (Creative)", "description": "Prompt\u2011guided enhancement, stylization, and 2x/4x/8x/16x upscaling. Maximum output: 25.3 megapixels.", "python_module": "comfy_api_nodes.nodes_magnific", "category": "api node/image/Magnific", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "scale_factor", "type": "COMBO"}, {"name": "auto_downscale", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $ad := widgets.auto_downscale;\n                  $mins := $ad\n                    ? {\"2x\": 0.172, \"4x\": 0.343, \"8x\": 0.515, \"16x\": 0.515}\n                    : {\"2x\": 0.172, \"4x\": 0.343, \"8x\": 0.515, \"16x\": 0.844};\n                  $maxs := {\"2x\": 0.515, \"4x\": 0.844, \"8x\": 1.015, \"16x\": 1.187};\n                  {\n                    \"type\": \"range_usd\",\n                    \"min_usd\": $lookup($mins, widgets.scale_factor),\n                    \"max_usd\": $lookup($maxs, widgets.scale_factor),\n                    \"format\": { \"approximate\": true }\n                  }\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MagnificImageUpscalerPreciseV2Node": {"input": {"required": {"image": ["IMAGE", {}], "scale_factor": ["COMBO", {"multiselect": false, "options": ["2x", "4x", "8x", "16x"]}], "flavor": ["COMBO", {"tooltip": "Processing style: sublime for general use, photo for photographs, photo_denoiser for noisy photos.", "multiselect": false, "options": ["sublime", "photo", "photo_denoiser"]}], "sharpen": ["INT", {"tooltip": "Image sharpness intensity. Higher values increase edge definition and clarity.", "default": 7, "min": 0, "max": 100, "display": "slider"}], "smart_grain": ["INT", {"tooltip": "Intelligent grain/texture enhancement to prevent the image from looking too smooth or artificial.", "default": 7, "min": 0, "max": 100, "display": "slider"}], "ultra_detail": ["INT", {"tooltip": "Controls fine detail, textures, and micro-details added during upscaling.", "default": 30, "min": 0, "max": 100, "display": "slider"}], "auto_downscale": ["BOOLEAN", {"tooltip": "Automatically downscale input image if output would exceed maximum resolution.", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "scale_factor", "flavor", "sharpen", "smart_grain", "ultra_detail", "auto_downscale"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "MagnificImageUpscalerPreciseV2Node", "display_name": "Magnific Image Upscale (Precise V2)", "description": "High-fidelity upscaling with fine control over sharpness, grain, and detail. Maximum output: 10060\u00d710060 pixels.", "python_module": "comfy_api_nodes.nodes_magnific", "category": "api node/image/Magnific", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "scale_factor", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $mins := {\"2x\": 0.172, \"4x\": 0.343, \"8x\": 0.515, \"16x\": 0.844};\n                  $maxs := {\"2x\": 2.045, \"4x\": 2.545, \"8x\": 2.889, \"16x\": 3.06};\n                  {\n                    \"type\": \"range_usd\",\n                    \"min_usd\": $lookup($mins, widgets.scale_factor),\n                    \"max_usd\": $lookup($maxs, widgets.scale_factor),\n                    \"format\": { \"approximate\": true }\n                  }\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MagnificImageStyleTransferNode": {"input": {"required": {"image": ["IMAGE", {"tooltip": "The image to apply style transfer to."}], "reference_image": ["IMAGE", {"tooltip": "The reference image to extract style from."}], "prompt": ["STRING", {"default": "", "multiline": true}], "style_strength": ["INT", {"tooltip": "Percentage of style strength.", "default": 100, "min": 0, "max": 100, "display": "slider"}], "structure_strength": ["INT", {"tooltip": "Maintains the structure of the original image.", "default": 50, "min": 0, "max": 100, "display": "slider"}], "flavor": ["COMBO", {"tooltip": "Style transfer flavor.", "multiselect": false, "options": ["faithful", "gen_z", "psychedelia", "detaily", "clear", "donotstyle", "donotstyle_sharp"]}], "engine": ["COMBO", {"tooltip": "Processing engine selection.", "advanced": true, "multiselect": false, "options": ["balanced", "definio", "illusio", "3d_cartoon", "colorful_anime", "caricature", "real", "super_real", "softy"]}], "portrait_mode": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Enable portrait mode for facial enhancements.", "options": [{"key": "disabled", "inputs": {"required": {}}}, {"key": "enabled", "inputs": {"required": {"portrait_style": ["COMBO", {"tooltip": "Visual style applied to portrait images.", "multiselect": false, "options": ["standard", "pop", "super_pop"]}], "portrait_beautifier": ["COMBO", {"tooltip": "Facial beautification intensity on portraits.", "multiselect": false, "options": ["none", "beautify_face", "beautify_face_max"]}]}}}]}], "fixed_generation": ["BOOLEAN", {"tooltip": "When disabled, expect each generation to introduce a degree of randomness, leading to more diverse outcomes.", "advanced": true, "default": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "reference_image", "prompt", "style_strength", "structure_strength", "flavor", "engine", "portrait_mode", "fixed_generation"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "MagnificImageStyleTransferNode", "display_name": "Magnific Image Style Transfer", "description": "Transfer the style from a reference image to your input image.", "python_module": "comfy_api_nodes.nodes_magnific", "category": "api node/image/Magnific", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.11}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MagnificImageRelightNode": {"input": {"required": {"image": ["IMAGE", {"tooltip": "The image to relight."}], "prompt": ["STRING", {"tooltip": "Descriptive guidance for lighting. Supports emphasis notation (1-1.4).", "default": "", "multiline": true}], "light_transfer_strength": ["INT", {"tooltip": "Intensity of light transfer application.", "default": 100, "min": 0, "max": 100, "display": "slider"}], "style": ["COMBO", {"tooltip": "Stylistic output preference.", "multiselect": false, "options": ["standard", "darker_but_realistic", "clean", "smooth", "brighter", "contrasted_n_hdr", "just_composition"]}], "interpolate_from_original": ["BOOLEAN", {"tooltip": "Restricts generation freedom to match original more closely.", "advanced": true, "default": false}], "change_background": ["BOOLEAN", {"tooltip": "Modifies background based on prompt/reference.", "advanced": true, "default": true}], "preserve_details": ["BOOLEAN", {"tooltip": "Maintains texture and fine details from original.", "advanced": true, "default": true}], "advanced_settings": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Fine-tuning options for advanced lighting control.", "options": [{"key": "disabled", "inputs": {"required": {}}}, {"key": "enabled", "inputs": {"required": {"whites": ["INT", {"tooltip": "Adjusts the brightest tones in the image.", "default": 50, "min": 0, "max": 100, "display": "slider"}], "blacks": ["INT", {"tooltip": "Adjusts the darkest tones in the image.", "default": 50, "min": 0, "max": 100, "display": "slider"}], "brightness": ["INT", {"tooltip": "Overall brightness adjustment.", "default": 50, "min": 0, "max": 100, "display": "slider"}], "contrast": ["INT", {"tooltip": "Contrast adjustment.", "default": 50, "min": 0, "max": 100, "display": "slider"}], "saturation": ["INT", {"tooltip": "Color saturation adjustment.", "default": 50, "min": 0, "max": 100, "display": "slider"}], "engine": ["COMBO", {"tooltip": "Processing engine selection.", "multiselect": false, "options": ["automatic", "balanced", "cool", "real", "illusio", "fairy", "colorful_anime", "hard_transform", "softy"]}], "transfer_light_a": ["COMBO", {"tooltip": "The intensity of light transfer.", "multiselect": false, "options": ["automatic", "low", "medium", "normal", "high", "high_on_faces"]}], "transfer_light_b": ["COMBO", {"tooltip": "Also modifies light transfer intensity. Can be combined with the previous control for varied effects.", "multiselect": false, "options": ["automatic", "composition", "straight", "smooth_in", "smooth_out", "smooth_both", "reverse_both", "soft_in", "soft_out", "soft_mid", "style_shift", "strong_shift"]}], "fixed_generation": ["BOOLEAN", {"tooltip": "Ensures consistent output with the same settings.", "default": true}]}}}]}]}, "optional": {"reference_image": ["IMAGE", {"tooltip": "Optional reference image to transfer lighting from."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "prompt", "light_transfer_strength", "style", "interpolate_from_original", "change_background", "preserve_details", "advanced_settings"], "optional": ["reference_image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "MagnificImageRelightNode", "display_name": "Magnific Image Relight", "description": "Relight an image with lighting adjustments and optional reference-based light transfer.", "python_module": "comfy_api_nodes.nodes_magnific", "category": "api node/image/Magnific", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.11}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MagnificImageSkinEnhancerNode": {"input": {"required": {"image": ["IMAGE", {"tooltip": "The portrait image to enhance."}], "sharpen": ["INT", {"tooltip": "Sharpening intensity level.", "default": 0, "min": 0, "max": 100, "display": "slider"}], "smart_grain": ["INT", {"tooltip": "Smart grain intensity level.", "default": 2, "min": 0, "max": 100, "display": "slider"}], "mode": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Processing mode: creative for artistic enhancement, faithful for preserving original appearance, flexible for targeted optimization.", "options": [{"key": "creative", "inputs": {"required": {}}}, {"key": "faithful", "inputs": {"required": {"skin_detail": ["INT", {"tooltip": "Skin detail enhancement level.", "default": 80, "min": 0, "max": 100, "display": "slider"}]}}}, {"key": "flexible", "inputs": {"required": {"optimized_for": ["COMBO", {"tooltip": "Enhancement optimization target.", "multiselect": false, "options": ["enhance_skin", "improve_lighting", "enhance_everything", "transform_to_real", "no_make_up"]}]}}}]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "sharpen", "smart_grain", "mode"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "MagnificImageSkinEnhancerNode", "display_name": "Magnific Image Skin Enhancer", "description": "Skin enhancement for portraits with multiple processing modes.", "python_module": "comfy_api_nodes.nodes_magnific", "category": "api node/image/Magnific", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "mode", "type": "COMFY_DYNAMICCOMBO_V3"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $rates := {\"creative\": 0.29, \"faithful\": 0.37, \"flexible\": 0.45};\n                  {\"type\":\"usd\",\"usd\": $lookup($rates, widgets.mode)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MeshyTextToModelNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["latest"]}], "prompt": ["STRING", {"default": "", "multiline": true}], "style": ["COMBO", {"multiselect": false, "options": ["realistic", "sculpture"]}], "should_remesh": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "When set to false, returns an unprocessed triangular mesh.", "options": [{"key": "true", "inputs": {"required": {"topology": ["COMBO", {"multiselect": false, "options": ["triangle", "quad"]}], "target_polycount": ["INT", {"default": 300000, "min": 100, "max": 300000, "display": "number"}]}}}, {"key": "false", "inputs": {"required": {}}}]}], "symmetry_mode": ["COMBO", {"advanced": true, "multiselect": false, "options": ["auto", "on", "off"]}], "pose_mode": ["COMBO", {"tooltip": "Specify the pose mode for the generated model.", "advanced": true, "multiselect": false, "options": ["", "A-pose", "T-pose"]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["model", "prompt", "style", "should_remesh", "symmetry_mode", "pose_mode", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "MESHY_TASK_ID", "FILE_3D_GLB", "FILE_3D_FBX"], "output_is_list": [false, false, false, false], "output_name": ["model_file", "meshy_task_id", "GLB", "FBX"], "output_tooltips": [null, null, null, null], "output_matchtypes": null, "name": "MeshyTextToModelNode", "display_name": "Meshy: Text to Model", "description": "", "python_module": "comfy_api_nodes.nodes_meshy", "category": "api node/3d/Meshy", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.8}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MeshyRefineNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["latest"]}], "meshy_task_id": ["MESHY_TASK_ID", {}], "enable_pbr": ["BOOLEAN", {"tooltip": "Generate PBR Maps (metallic, roughness, normal) in addition to the base color. Note: this should be set to false when using Sculpture style, as Sculpture style generates its own set of PBR maps.", "advanced": true, "default": false}], "texture_prompt": ["STRING", {"tooltip": "Provide a text prompt to guide the texturing process. Maximum 600 characters. Cannot be used at the same time as 'texture_image'.", "default": "", "multiline": true}]}, "optional": {"texture_image": ["IMAGE", {"tooltip": "Only one of 'texture_image' or 'texture_prompt' may be used at the same time."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["model", "meshy_task_id", "enable_pbr", "texture_prompt"], "optional": ["texture_image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "MESHY_TASK_ID", "FILE_3D_GLB", "FILE_3D_FBX"], "output_is_list": [false, false, false, false], "output_name": ["model_file", "meshy_task_id", "GLB", "FBX"], "output_tooltips": [null, null, null, null], "output_matchtypes": null, "name": "MeshyRefineNode", "display_name": "Meshy: Refine Draft Model", "description": "Refine a previously created draft model.", "python_module": "comfy_api_nodes.nodes_meshy", "category": "api node/3d/Meshy", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.4}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MeshyImageToModelNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["latest"]}], "image": ["IMAGE", {}], "should_remesh": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "When set to false, returns an unprocessed triangular mesh.", "options": [{"key": "true", "inputs": {"required": {"topology": ["COMBO", {"multiselect": false, "options": ["triangle", "quad"]}], "target_polycount": ["INT", {"default": 300000, "min": 100, "max": 300000, "display": "number"}]}}}, {"key": "false", "inputs": {"required": {}}}]}], "symmetry_mode": ["COMBO", {"multiselect": false, "options": ["auto", "on", "off"]}], "should_texture": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Determines whether textures are generated. Setting it to false skips the texture phase and returns a mesh without textures.", "options": [{"key": "true", "inputs": {"required": {"enable_pbr": ["BOOLEAN", {"tooltip": "Generate PBR Maps (metallic, roughness, normal) in addition to the base color.", "default": false}], "texture_prompt": ["STRING", {"tooltip": "Provide a text prompt to guide the texturing process. Maximum 600 characters. Cannot be used at the same time as 'texture_image'.", "default": "", "multiline": true}]}, "optional": {"texture_image": ["IMAGE", {"tooltip": "Only one of 'texture_image' or 'texture_prompt' may be used at the same time."}]}}}, {"key": "false", "inputs": {"required": {}}}]}], "pose_mode": ["COMBO", {"tooltip": "Specify the pose mode for the generated model.", "advanced": true, "multiselect": false, "options": ["", "A-pose", "T-pose"]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["model", "image", "should_remesh", "symmetry_mode", "should_texture", "pose_mode", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "MESHY_TASK_ID", "FILE_3D_GLB", "FILE_3D_FBX"], "output_is_list": [false, false, false, false], "output_name": ["model_file", "meshy_task_id", "GLB", "FBX"], "output_tooltips": [null, null, null, null], "output_matchtypes": null, "name": "MeshyImageToModelNode", "display_name": "Meshy: Image to Model", "description": "", "python_module": "comfy_api_nodes.nodes_meshy", "category": "api node/3d/Meshy", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "should_texture", "type": "COMFY_DYNAMICCOMBO_V3"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $prices := {\"true\": 1.2, \"false\": 0.8};\n                  {\"type\":\"usd\",\"usd\": $lookup($prices, widgets.should_texture)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MeshyMultiImageToModelNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["latest"]}], "images": ["COMFY_AUTOGROW_V3", {"template": {"input": {"required": {"image": ["IMAGE", {}]}}, "prefix": "image", "min": 2, "max": 4}}], "should_remesh": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "When set to false, returns an unprocessed triangular mesh.", "options": [{"key": "true", "inputs": {"required": {"topology": ["COMBO", {"multiselect": false, "options": ["triangle", "quad"]}], "target_polycount": ["INT", {"default": 300000, "min": 100, "max": 300000, "display": "number"}]}}}, {"key": "false", "inputs": {"required": {}}}]}], "symmetry_mode": ["COMBO", {"advanced": true, "multiselect": false, "options": ["auto", "on", "off"]}], "should_texture": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Determines whether textures are generated. Setting it to false skips the texture phase and returns a mesh without textures.", "options": [{"key": "true", "inputs": {"required": {"enable_pbr": ["BOOLEAN", {"tooltip": "Generate PBR Maps (metallic, roughness, normal) in addition to the base color.", "default": false}], "texture_prompt": ["STRING", {"tooltip": "Provide a text prompt to guide the texturing process. Maximum 600 characters. Cannot be used at the same time as 'texture_image'.", "default": "", "multiline": true}]}, "optional": {"texture_image": ["IMAGE", {"tooltip": "Only one of 'texture_image' or 'texture_prompt' may be used at the same time."}]}}}, {"key": "false", "inputs": {"required": {}}}]}], "pose_mode": ["COMBO", {"tooltip": "Specify the pose mode for the generated model.", "advanced": true, "multiselect": false, "options": ["", "A-pose", "T-pose"]}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["model", "images", "should_remesh", "symmetry_mode", "should_texture", "pose_mode", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "MESHY_TASK_ID", "FILE_3D_GLB", "FILE_3D_FBX"], "output_is_list": [false, false, false, false], "output_name": ["model_file", "meshy_task_id", "GLB", "FBX"], "output_tooltips": [null, null, null, null], "output_matchtypes": null, "name": "MeshyMultiImageToModelNode", "display_name": "Meshy: Multi-Image to Model", "description": "", "python_module": "comfy_api_nodes.nodes_meshy", "category": "api node/3d/Meshy", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "should_texture", "type": "COMFY_DYNAMICCOMBO_V3"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $prices := {\"true\": 0.6, \"false\": 0.2};\n                  {\"type\":\"usd\",\"usd\": $lookup($prices, widgets.should_texture)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MeshyRigModelNode": {"input": {"required": {"meshy_task_id": ["MESHY_TASK_ID", {}], "height_meters": ["FLOAT", {"tooltip": "The approximate height of the character model in meters. This aids in scaling and rigging accuracy.", "default": 1.7, "min": 0.1, "max": 15.0}]}, "optional": {"texture_image": ["IMAGE", {"tooltip": "The model's UV-unwrapped base color texture image."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["meshy_task_id", "height_meters"], "optional": ["texture_image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "MESHY_RIGGED_TASK_ID", "FILE_3D_GLB", "FILE_3D_FBX"], "output_is_list": [false, false, false, false], "output_name": ["model_file", "rig_task_id", "GLB", "FBX"], "output_tooltips": [null, null, null, null], "output_matchtypes": null, "name": "MeshyRigModelNode", "display_name": "Meshy: Rig Model", "description": "Provides a rigged character in standard formats. Auto-rigging is currently not suitable for untextured meshes, non-humanoid assets, or humanoid assets with unclear limb and body structure.", "python_module": "comfy_api_nodes.nodes_meshy", "category": "api node/3d/Meshy", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.2}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MeshyAnimateModelNode": {"input": {"required": {"rig_task_id": ["MESHY_RIGGED_TASK_ID", {}], "action_id": ["INT", {"tooltip": "Visit https://docs.meshy.ai/en/api/animation-library for a list of available values.", "default": 0, "min": 0, "max": 696}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["rig_task_id", "action_id"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "FILE_3D_GLB", "FILE_3D_FBX"], "output_is_list": [false, false, false], "output_name": ["model_file", "GLB", "FBX"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "MeshyAnimateModelNode", "display_name": "Meshy: Animate Model", "description": "Apply a specific animation action to a previously rigged character.", "python_module": "comfy_api_nodes.nodes_meshy", "category": "api node/3d/Meshy", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.12}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MeshyTextureNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["latest"]}], "meshy_task_id": ["MESHY_TASK_ID", {}], "enable_original_uv": ["BOOLEAN", {"tooltip": "Use the original UV of the model instead of generating new UVs. When enabled, Meshy preserves existing textures from the uploaded model. If the model has no original UV, the quality of the output might not be as good.", "advanced": true, "default": true}], "pbr": ["BOOLEAN", {"advanced": true, "default": false}], "text_style_prompt": ["STRING", {"tooltip": "Describe your desired texture style of the object using text. Maximum 600 characters.Maximum 600 characters. Cannot be used at the same time as 'image_style'.", "default": "", "multiline": true}]}, "optional": {"image_style": ["IMAGE", {"tooltip": "A 2d image to guide the texturing process. Can not be used at the same time with 'text_style_prompt'."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["model", "meshy_task_id", "enable_original_uv", "pbr", "text_style_prompt"], "optional": ["image_style"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "MODEL_TASK_ID", "FILE_3D_GLB", "FILE_3D_FBX"], "output_is_list": [false, false, false, false], "output_name": ["model_file", "meshy_task_id", "GLB", "FBX"], "output_tooltips": [null, null, null, null], "output_matchtypes": null, "name": "MeshyTextureNode", "display_name": "Meshy: Texture Model", "description": "", "python_module": "comfy_api_nodes.nodes_meshy", "category": "api node/3d/Meshy", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.4}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MinimaxTextToVideoNode": {"input": {"required": {"prompt_text": ["STRING", {"tooltip": "Text prompt to guide the video generation", "default": "", "multiline": true}], "model": ["COMBO", {"tooltip": "Model to use for video generation", "default": "T2V-01", "multiselect": false, "options": ["T2V-01", "T2V-01-Director"]}]}, "optional": {"seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 18446744073709551615, "step": 1, "control_after_generate": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt_text", "model"], "optional": ["seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "MinimaxTextToVideoNode", "display_name": "MiniMax Text to Video", "description": "Generates videos synchronously based on a prompt, and optional parameters.", "python_module": "comfy_api_nodes.nodes_minimax", "category": "api node/video/MiniMax", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.43}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MinimaxImageToVideoNode": {"input": {"required": {"image": ["IMAGE", {"tooltip": "Image to use as first frame of video generation"}], "prompt_text": ["STRING", {"tooltip": "Text prompt to guide the video generation", "default": "", "multiline": true}], "model": ["COMBO", {"tooltip": "Model to use for video generation", "default": "I2V-01", "multiselect": false, "options": ["I2V-01-Director", "I2V-01", "I2V-01-live"]}]}, "optional": {"seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 18446744073709551615, "step": 1, "control_after_generate": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "prompt_text", "model"], "optional": ["seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "MinimaxImageToVideoNode", "display_name": "MiniMax Image to Video", "description": "Generates videos synchronously based on an image and prompt, and optional parameters.", "python_module": "comfy_api_nodes.nodes_minimax", "category": "api node/video/MiniMax", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.43}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MinimaxHailuoVideoNode": {"input": {"required": {"prompt_text": ["STRING", {"tooltip": "Text prompt to guide the video generation.", "default": "", "multiline": true}]}, "optional": {"seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 18446744073709551615, "step": 1, "control_after_generate": true}], "first_frame_image": ["IMAGE", {"tooltip": "Optional image to use as the first frame to generate a video."}], "prompt_optimizer": ["BOOLEAN", {"tooltip": "Optimize prompt to improve generation quality when needed.", "default": true}], "duration": ["COMBO", {"tooltip": "The length of the output video in seconds.", "default": 6, "multiselect": false, "options": [6, 10]}], "resolution": ["COMBO", {"tooltip": "The dimensions of the video display. 1080p is 1920x1080, 768p is 1366x768.", "default": "768P", "multiselect": false, "options": ["768P", "1080P"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt_text"], "optional": ["seed", "first_frame_image", "prompt_optimizer", "duration", "resolution"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "MinimaxHailuoVideoNode", "display_name": "MiniMax Hailuo Video", "description": "Generates videos from prompt, with optional start frame using the new MiniMax Hailuo-02 model.", "python_module": "comfy_api_nodes.nodes_minimax", "category": "api node/video/MiniMax", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "resolution", "type": "COMBO"}, {"name": "duration", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $prices := {\n                    \"768p\": {\"6\": 0.28, \"10\": 0.56},\n                    \"1080p\": {\"6\": 0.49}\n                  };\n                  $resPrices := $lookup($prices, $lowercase(widgets.resolution));\n                  $price := $lookup($resPrices, $string(widgets.duration));\n                  {\"type\":\"usd\",\"usd\": $price ? $price : 0.43}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MoonvalleyImg2VideoNode": {"input": {"required": {"image": ["IMAGE", {"tooltip": "The reference image used to generate the video"}], "prompt": ["STRING", {"multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative prompt text", "default": "<synthetic> <scene cut> gopro, bright, contrast, static, overexposed, vignette, artifacts, still, noise, texture, scanlines, videogame, 360 camera, VR, transition, flare, saturation, distorted, warped, wide angle, saturated, vibrant, glowing, cross dissolve, cheesy, ugly hands, mutated hands, mutant, disfigured, extra fingers, blown out, horrible, blurry, worst quality, bad, dissolve, melt, fade in, fade out, wobbly, weird, low quality, plastic, stock footage, video camera, boring", "multiline": true}], "resolution": ["COMBO", {"tooltip": "Resolution of the output video", "default": "16:9 (1920 x 1080)", "multiselect": false, "options": ["16:9 (1920 x 1080)", "9:16 (1080 x 1920)", "1:1 (1152 x 1152)", "4:3 (1536 x 1152)", "3:4 (1152 x 1536)"]}], "prompt_adherence": ["FLOAT", {"tooltip": "Guidance scale for generation control", "default": 4.5, "min": 1.0, "max": 20.0, "step": 1.0}], "seed": ["INT", {"tooltip": "Random seed value", "default": 9, "min": 0, "max": 4294967295, "step": 1, "control_after_generate": true, "display": "number"}], "steps": ["INT", {"tooltip": "Number of denoising steps", "default": 80, "min": 75, "max": 100, "step": 1}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "prompt", "negative_prompt", "resolution", "prompt_adherence", "seed", "steps"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "MoonvalleyImg2VideoNode", "display_name": "Moonvalley Marey Image to Video", "description": "Moonvalley Marey Image to Video Node", "python_module": "comfy_api_nodes.nodes_moonvalley", "category": "api node/video/Moonvalley Marey", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 1.5}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MoonvalleyTxt2VideoNode": {"input": {"required": {"prompt": ["STRING", {"multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative prompt text", "default": "<synthetic> <scene cut> gopro, bright, contrast, static, overexposed, vignette, artifacts, still, noise, texture, scanlines, videogame, 360 camera, VR, transition, flare, saturation, distorted, warped, wide angle, saturated, vibrant, glowing, cross dissolve, cheesy, ugly hands, mutated hands, mutant, disfigured, extra fingers, blown out, horrible, blurry, worst quality, bad, dissolve, melt, fade in, fade out, wobbly, weird, low quality, plastic, stock footage, video camera, boring", "multiline": true}], "resolution": ["COMBO", {"tooltip": "Resolution of the output video", "default": "16:9 (1920 x 1080)", "multiselect": false, "options": ["16:9 (1920 x 1080)", "9:16 (1080 x 1920)", "1:1 (1152 x 1152)", "4:3 (1536 x 1152)", "3:4 (1152 x 1536)", "21:9 (2560 x 1080)"]}], "prompt_adherence": ["FLOAT", {"tooltip": "Guidance scale for generation control", "default": 4.0, "min": 1.0, "max": 20.0, "step": 1.0}], "seed": ["INT", {"tooltip": "Random seed value", "default": 9, "min": 0, "max": 4294967295, "step": 1, "control_after_generate": true, "display": "number"}], "steps": ["INT", {"tooltip": "Inference steps", "default": 80, "min": 75, "max": 100, "step": 1}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "negative_prompt", "resolution", "prompt_adherence", "seed", "steps"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "MoonvalleyTxt2VideoNode", "display_name": "Moonvalley Marey Text to Video", "description": "", "python_module": "comfy_api_nodes.nodes_moonvalley", "category": "api node/video/Moonvalley Marey", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 1.5}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "MoonvalleyVideo2VideoNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Describes the video to generate", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative prompt text", "default": "<synthetic> <scene cut> gopro, bright, contrast, static, overexposed, vignette, artifacts, still, noise, texture, scanlines, videogame, 360 camera, VR, transition, flare, saturation, distorted, warped, wide angle, saturated, vibrant, glowing, cross dissolve, cheesy, ugly hands, mutated hands, mutant, disfigured, extra fingers, blown out, horrible, blurry, worst quality, bad, dissolve, melt, fade in, fade out, wobbly, weird, low quality, plastic, stock footage, video camera, boring", "multiline": true}], "seed": ["INT", {"tooltip": "Random seed value", "default": 9, "min": 0, "max": 4294967295, "step": 1, "control_after_generate": false, "display": "number"}], "video": ["VIDEO", {"tooltip": "The reference video used to generate the output video. Must be at least 5 seconds long. Videos longer than 5s will be automatically trimmed. Only MP4 format supported."}], "steps": ["INT", {"tooltip": "Number of inference steps", "default": 60, "min": 60, "max": 100, "step": 1, "display": "number"}]}, "optional": {"control_type": ["COMBO", {"default": "Motion Transfer", "multiselect": false, "options": ["Motion Transfer", "Pose Transfer"]}], "motion_intensity": ["INT", {"tooltip": "Only used if control_type is 'Motion Transfer'", "default": 100, "min": 0, "max": 100, "step": 1}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "negative_prompt", "seed", "video", "steps"], "optional": ["control_type", "motion_intensity"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "MoonvalleyVideo2VideoNode", "display_name": "Moonvalley Marey Video to Video", "description": "", "python_module": "comfy_api_nodes.nodes_moonvalley", "category": "api node/video/Moonvalley Marey", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 2.25}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "OpenAIDalle2": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text prompt for DALL\u00b7E", "default": "", "multiline": true}]}, "optional": {"seed": ["INT", {"tooltip": "not implemented yet in backend", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "size": ["COMBO", {"tooltip": "Image size", "default": "1024x1024", "multiselect": false, "options": ["256x256", "512x512", "1024x1024"]}], "n": ["INT", {"tooltip": "How many images to generate", "default": 1, "min": 1, "max": 8, "step": 1, "display": "number"}], "image": ["IMAGE", {"tooltip": "Optional reference image for image editing."}], "mask": ["MASK", {"tooltip": "Optional mask for inpainting (white areas will be replaced)"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt"], "optional": ["seed", "size", "n", "image", "mask"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "OpenAIDalle2", "display_name": "OpenAI DALL\u00b7E 2", "description": "Generates images synchronously via OpenAI's DALL\u00b7E 2 endpoint.", "python_module": "comfy_api_nodes.nodes_openai", "category": "api node/image/OpenAI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "size", "type": "COMBO"}, {"name": "n", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $size := widgets.size;\n                  $nRaw := widgets.n;\n                  $n := ($nRaw != null and $nRaw != 0) ? $nRaw : 1;\n\n                  $base :=\n                    $contains($size, \"256x256\") ? 0.016 :\n                    $contains($size, \"512x512\") ? 0.018 :\n                    0.02;\n\n                  {\"type\":\"usd\",\"usd\": $round($base * $n, 3)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "OpenAIDalle3": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text prompt for DALL\u00b7E", "default": "", "multiline": true}]}, "optional": {"seed": ["INT", {"tooltip": "not implemented yet in backend", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "quality": ["COMBO", {"tooltip": "Image quality", "default": "standard", "multiselect": false, "options": ["standard", "hd"]}], "style": ["COMBO", {"tooltip": "Vivid causes the model to lean towards generating hyper-real and dramatic images. Natural causes the model to produce more natural, less hyper-real looking images.", "default": "natural", "multiselect": false, "options": ["natural", "vivid"]}], "size": ["COMBO", {"tooltip": "Image size", "default": "1024x1024", "multiselect": false, "options": ["1024x1024", "1024x1792", "1792x1024"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt"], "optional": ["seed", "quality", "style", "size"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "OpenAIDalle3", "display_name": "OpenAI DALL\u00b7E 3", "description": "Generates images synchronously via OpenAI's DALL\u00b7E 3 endpoint.", "python_module": "comfy_api_nodes.nodes_openai", "category": "api node/image/OpenAI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "size", "type": "COMBO"}, {"name": "quality", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $size := widgets.size;\n                  $q := widgets.quality;\n                  $hd := $contains($q, \"hd\");\n\n                  $price :=\n                    $contains($size, \"1024x1024\")\n                      ? ($hd ? 0.08 : 0.04)\n                      : (($contains($size, \"1792x1024\") or $contains($size, \"1024x1792\"))\n                          ? ($hd ? 0.12 : 0.08)\n                          : 0.04);\n\n                  {\"type\":\"usd\",\"usd\": $price}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "OpenAIGPTImage1": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text prompt for GPT Image", "default": "", "multiline": true}]}, "optional": {"seed": ["INT", {"tooltip": "not implemented yet in backend", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "quality": ["COMBO", {"tooltip": "Image quality, affects cost and generation time.", "default": "low", "multiselect": false, "options": ["low", "medium", "high"]}], "background": ["COMBO", {"tooltip": "Return image with or without background", "default": "auto", "multiselect": false, "options": ["auto", "opaque", "transparent"]}], "size": ["COMBO", {"tooltip": "Image size", "default": "auto", "multiselect": false, "options": ["auto", "1024x1024", "1024x1536", "1536x1024"]}], "n": ["INT", {"tooltip": "How many images to generate", "default": 1, "min": 1, "max": 8, "step": 1, "display": "number"}], "image": ["IMAGE", {"tooltip": "Optional reference image for image editing."}], "mask": ["MASK", {"tooltip": "Optional mask for inpainting (white areas will be replaced)"}], "model": ["COMBO", {"default": "gpt-image-1.5", "multiselect": false, "options": ["gpt-image-1", "gpt-image-1.5"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt"], "optional": ["seed", "quality", "background", "size", "n", "image", "mask", "model"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "OpenAIGPTImage1", "display_name": "OpenAI GPT Image 1.5", "description": "Generates images synchronously via OpenAI's GPT Image endpoint.", "python_module": "comfy_api_nodes.nodes_openai", "category": "api node/image/OpenAI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "quality", "type": "COMBO"}, {"name": "n", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $ranges := {\n                    \"low\":    [0.011, 0.02],\n                    \"medium\": [0.046, 0.07],\n                    \"high\":   [0.167, 0.3]\n                  };\n                  $range := $lookup($ranges, widgets.quality);\n                  $n := widgets.n;\n                  ($n = 1)\n                    ? {\"type\":\"range_usd\",\"min_usd\": $range[0], \"max_usd\": $range[1]}\n                    : {\n                        \"type\":\"range_usd\",\n                        \"min_usd\": $range[0],\n                        \"max_usd\": $range[1],\n                        \"format\": { \"suffix\": \" x \" & $string($n) & \"/Run\" }\n                      }\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "OpenAIChatNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text inputs to the model, used to generate a response.", "default": "", "multiline": true}], "persist_context": ["BOOLEAN", {"tooltip": "This parameter is deprecated and has no effect.", "advanced": true, "default": false}], "model": ["COMBO", {"tooltip": "The model used to generate the response", "multiselect": false, "options": ["o4-mini", "o1", "o3", "o1-pro", "gpt-4.1", "gpt-4.1-mini", "gpt-4.1-nano", "gpt-5", "gpt-5-mini", "gpt-5-nano"]}]}, "optional": {"images": ["IMAGE", {"tooltip": "Optional image(s) to use as context for the model. To include multiple images, you can use the Batch Images node."}], "files": ["OPENAI_INPUT_FILES", {"tooltip": "Optional file(s) to use as context for the model. Accepts inputs from the OpenAI Chat Input Files node."}], "advanced_options": ["OPENAI_CHAT_CONFIG", {"tooltip": "Optional configuration for the model. Accepts inputs from the OpenAI Chat Advanced Options node."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "persist_context", "model"], "optional": ["images", "files", "advanced_options"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "output_tooltips": [null], "output_matchtypes": null, "name": "OpenAIChatNode", "display_name": "OpenAI ChatGPT", "description": "Generate text responses from an OpenAI model.", "python_module": "comfy_api_nodes.nodes_openai", "category": "api node/text/OpenAI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.model;\n                  $contains($m, \"o4-mini\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.0011, 0.0044],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : $contains($m, \"o1-pro\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.15, 0.6],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : $contains($m, \"o1\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.015, 0.06],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : $contains($m, \"o3-mini\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.0011, 0.0044],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : $contains($m, \"o3\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.01, 0.04],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : $contains($m, \"gpt-4.1-nano\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.0001, 0.0004],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : $contains($m, \"gpt-4.1-mini\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.0004, 0.0016],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : $contains($m, \"gpt-4.1\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.002, 0.008],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : $contains($m, \"gpt-5-nano\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.00005, 0.0004],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : $contains($m, \"gpt-5-mini\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.00025, 0.002],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : $contains($m, \"gpt-5\") ? {\n                    \"type\": \"list_usd\",\n                    \"usd\": [0.00125, 0.01],\n                    \"format\": { \"approximate\": true, \"separator\": \"-\", \"suffix\": \" per 1K tokens\" }\n                  }\n                  : {\"type\": \"text\", \"text\": \"Token-based\"}\n                )\n                "}, "search_aliases": null, "essentials_category": "Text Generation", "has_intermediate_output": false}, "OpenAIInputFiles": {"input": {"required": {"file": ["COMBO", {"tooltip": "Input files to include as context for the model. Only accepts text (.txt) and PDF (.pdf) files for now.", "multiselect": false, "options": []}]}, "optional": {"OPENAI_INPUT_FILES": ["OPENAI_INPUT_FILES", {"tooltip": "An optional additional file(s) to batch together with the file loaded from this node. Allows chaining of input files so that a single message can include multiple input files."}]}}, "input_order": {"required": ["file"], "optional": ["OPENAI_INPUT_FILES"]}, "is_input_list": false, "output": ["OPENAI_INPUT_FILES"], "output_is_list": [false], "output_name": ["OPENAI_INPUT_FILES"], "output_tooltips": [null], "output_matchtypes": null, "name": "OpenAIInputFiles", "display_name": "OpenAI ChatGPT Input Files", "description": "Loads and prepares input files (text, pdf, etc.) to include as inputs for the OpenAI Chat Node. The files will be read by the OpenAI model when generating a response. \ud83d\udec8 TIP: Can be chained together with other OpenAI Input File nodes.", "python_module": "comfy_api_nodes.nodes_openai", "category": "api node/text/OpenAI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "OpenAIChatConfig": {"input": {"required": {"truncation": ["COMBO", {"tooltip": "The truncation strategy to use for the model response. auto: If the context of this response and previous ones exceeds the model's context window size, the model will truncate the response to fit the context window by dropping input items in the middle of the conversation.disabled: If a model response will exceed the context window size for a model, the request will fail with a 400 error", "advanced": true, "default": "auto", "multiselect": false, "options": ["auto", "disabled"]}]}, "optional": {"max_output_tokens": ["INT", {"tooltip": "An upper bound for the number of tokens that can be generated for a response, including visible output tokens", "advanced": true, "default": 4096, "min": 16, "max": 16384}], "instructions": ["STRING", {"tooltip": "Instructions for the model on how to generate the response", "multiline": true}]}}, "input_order": {"required": ["truncation"], "optional": ["max_output_tokens", "instructions"]}, "is_input_list": false, "output": ["OPENAI_CHAT_CONFIG"], "output_is_list": [false], "output_name": ["OPENAI_CHAT_CONFIG"], "output_tooltips": [null], "output_matchtypes": null, "name": "OpenAIChatConfig", "display_name": "OpenAI ChatGPT Advanced Options", "description": "Allows specifying advanced configuration options for the OpenAI Chat Nodes.", "python_module": "comfy_api_nodes.nodes_openai", "category": "api node/text/OpenAI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "PixverseTextToVideoNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the video generation", "default": "", "multiline": true}], "aspect_ratio": ["COMBO", {"multiselect": false, "options": ["16:9", "4:3", "1:1", "3:4", "9:16"]}], "quality": ["COMBO", {"default": "540p", "multiselect": false, "options": ["360p", "540p", "720p", "1080p"]}], "duration_seconds": ["COMBO", {"multiselect": false, "options": [5, 8]}], "motion_mode": ["COMBO", {"multiselect": false, "options": ["normal", "fast"]}], "seed": ["INT", {"tooltip": "Seed for video generation.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "An optional text description of undesired elements on an image.", "default": "", "multiline": true}], "pixverse_template": ["PIXVERSE_TEMPLATE", {"tooltip": "An optional template to influence style of generation, created by the PixVerse Template node."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "aspect_ratio", "quality", "duration_seconds", "motion_mode", "seed"], "optional": ["negative_prompt", "pixverse_template"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "PixverseTextToVideoNode", "display_name": "PixVerse Text to Video", "description": "Generates videos based on prompt and output_size.", "python_module": "comfy_api_nodes.nodes_pixverse", "category": "api node/video/PixVerse", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration_seconds", "type": "COMBO"}, {"name": "quality", "type": "COMBO"}, {"name": "motion_mode", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $prices := {\n        \"5\": {\n          \"1080p\": {\"normal\": 1.2, \"fast\": 1.2},\n          \"720p\": {\"normal\": 0.6, \"fast\": 1.2},\n          \"540p\": {\"normal\": 0.45, \"fast\": 0.9},\n          \"360p\": {\"normal\": 0.45, \"fast\": 0.9}\n        },\n        \"8\": {\n          \"1080p\": {\"normal\": 1.2, \"fast\": 1.2},\n          \"720p\": {\"normal\": 1.2, \"fast\": 1.2},\n          \"540p\": {\"normal\": 0.9, \"fast\": 1.2},\n          \"360p\": {\"normal\": 0.9, \"fast\": 1.2}\n        }\n      };\n      $durPrices := $lookup($prices, $string(widgets.duration_seconds));\n      $qualityPrices := $lookup($durPrices, widgets.quality);\n      $price := $lookup($qualityPrices, widgets.motion_mode);\n      {\"type\":\"usd\",\"usd\": $price ? $price : 0.9}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "PixverseImageToVideoNode": {"input": {"required": {"image": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "Prompt for the video generation", "default": "", "multiline": true}], "quality": ["COMBO", {"default": "540p", "multiselect": false, "options": ["360p", "540p", "720p", "1080p"]}], "duration_seconds": ["COMBO", {"multiselect": false, "options": [5, 8]}], "motion_mode": ["COMBO", {"multiselect": false, "options": ["normal", "fast"]}], "seed": ["INT", {"tooltip": "Seed for video generation.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "An optional text description of undesired elements on an image.", "default": "", "multiline": true}], "pixverse_template": ["PIXVERSE_TEMPLATE", {"tooltip": "An optional template to influence style of generation, created by the PixVerse Template node."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "prompt", "quality", "duration_seconds", "motion_mode", "seed"], "optional": ["negative_prompt", "pixverse_template"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "PixverseImageToVideoNode", "display_name": "PixVerse Image to Video", "description": "Generates videos based on prompt and output_size.", "python_module": "comfy_api_nodes.nodes_pixverse", "category": "api node/video/PixVerse", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration_seconds", "type": "COMBO"}, {"name": "quality", "type": "COMBO"}, {"name": "motion_mode", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $prices := {\n        \"5\": {\n          \"1080p\": {\"normal\": 1.2, \"fast\": 1.2},\n          \"720p\": {\"normal\": 0.6, \"fast\": 1.2},\n          \"540p\": {\"normal\": 0.45, \"fast\": 0.9},\n          \"360p\": {\"normal\": 0.45, \"fast\": 0.9}\n        },\n        \"8\": {\n          \"1080p\": {\"normal\": 1.2, \"fast\": 1.2},\n          \"720p\": {\"normal\": 1.2, \"fast\": 1.2},\n          \"540p\": {\"normal\": 0.9, \"fast\": 1.2},\n          \"360p\": {\"normal\": 0.9, \"fast\": 1.2}\n        }\n      };\n      $durPrices := $lookup($prices, $string(widgets.duration_seconds));\n      $qualityPrices := $lookup($durPrices, widgets.quality);\n      $price := $lookup($qualityPrices, widgets.motion_mode);\n      {\"type\":\"usd\",\"usd\": $price ? $price : 0.9}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "PixverseTransitionVideoNode": {"input": {"required": {"first_frame": ["IMAGE", {}], "last_frame": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "Prompt for the video generation", "default": "", "multiline": true}], "quality": ["COMBO", {"default": "540p", "multiselect": false, "options": ["360p", "540p", "720p", "1080p"]}], "duration_seconds": ["COMBO", {"multiselect": false, "options": [5, 8]}], "motion_mode": ["COMBO", {"multiselect": false, "options": ["normal", "fast"]}], "seed": ["INT", {"tooltip": "Seed for video generation.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "An optional text description of undesired elements on an image.", "default": "", "multiline": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["first_frame", "last_frame", "prompt", "quality", "duration_seconds", "motion_mode", "seed"], "optional": ["negative_prompt"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "PixverseTransitionVideoNode", "display_name": "PixVerse Transition Video", "description": "Generates videos based on prompt and output_size.", "python_module": "comfy_api_nodes.nodes_pixverse", "category": "api node/video/PixVerse", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration_seconds", "type": "COMBO"}, {"name": "quality", "type": "COMBO"}, {"name": "motion_mode", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n    (\n      $prices := {\n        \"5\": {\n          \"1080p\": {\"normal\": 1.2, \"fast\": 1.2},\n          \"720p\": {\"normal\": 0.6, \"fast\": 1.2},\n          \"540p\": {\"normal\": 0.45, \"fast\": 0.9},\n          \"360p\": {\"normal\": 0.45, \"fast\": 0.9}\n        },\n        \"8\": {\n          \"1080p\": {\"normal\": 1.2, \"fast\": 1.2},\n          \"720p\": {\"normal\": 1.2, \"fast\": 1.2},\n          \"540p\": {\"normal\": 0.9, \"fast\": 1.2},\n          \"360p\": {\"normal\": 0.9, \"fast\": 1.2}\n        }\n      };\n      $durPrices := $lookup($prices, $string(widgets.duration_seconds));\n      $qualityPrices := $lookup($durPrices, widgets.quality);\n      $price := $lookup($qualityPrices, widgets.motion_mode);\n      {\"type\":\"usd\",\"usd\": $price ? $price : 0.9}\n    )\n    "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "PixverseTemplateNode": {"input": {"required": {"template": ["COMBO", {"multiselect": false, "options": ["Microwave", "Suit Swagger", "Anything, Robot", "Subject 3 Fever", "kiss kiss"]}]}}, "input_order": {"required": ["template"]}, "is_input_list": false, "output": ["PIXVERSE_TEMPLATE"], "output_is_list": [false], "output_name": ["pixverse_template"], "output_tooltips": [null], "output_matchtypes": null, "name": "PixverseTemplateNode", "display_name": "PixVerse Template", "description": "", "python_module": "comfy_api_nodes.nodes_pixverse", "category": "api node/video/PixVerse", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "QuiverTextToSVGNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text description of the desired SVG output.", "default": "", "multiline": true}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model to use for SVG generation.", "options": [{"key": "arrow-preview", "inputs": {"required": {"temperature": ["FLOAT", {"tooltip": "Randomness control. Higher values increase randomness.", "advanced": true, "default": 1.0, "min": 0.0, "max": 2.0, "step": 0.1, "display": "slider"}], "top_p": ["FLOAT", {"tooltip": "Nucleus sampling parameter.", "advanced": true, "default": 1.0, "min": 0.05, "max": 1.0, "step": 0.05, "display": "slider"}], "presence_penalty": ["FLOAT", {"tooltip": "Token presence penalty.", "advanced": true, "default": 0.0, "min": -2.0, "max": 2.0, "step": 0.1, "display": "slider"}]}}}]}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true}]}, "optional": {"instructions": ["STRING", {"tooltip": "Additional style or formatting guidance.", "default": "", "multiline": true}], "reference_images": ["COMFY_AUTOGROW_V3", {"tooltip": "Up to 4 reference images to guide the generation.", "template": {"input": {"required": {"image": ["IMAGE", {}]}}, "prefix": "ref_", "min": 0, "max": 4}}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "model", "seed"], "optional": ["instructions", "reference_images"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["SVG"], "output_is_list": [false], "output_name": ["SVG"], "output_tooltips": [null], "output_matchtypes": null, "name": "QuiverTextToSVGNode", "display_name": "Quiver Text to SVG", "description": "Generate an SVG from a text prompt using Quiver AI.", "python_module": "comfy_api_nodes.nodes_quiver", "category": "api node/image/Quiver", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.429}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "QuiverImageToSVGNode": {"input": {"required": {"image": ["IMAGE", {"tooltip": "Input image to vectorize."}], "auto_crop": ["BOOLEAN", {"tooltip": "Automatically crop to the dominant subject.", "default": false}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model to use for SVG vectorization.", "options": [{"key": "arrow-preview", "inputs": {"required": {"target_size": ["INT", {"tooltip": "Square resize target in pixels.", "default": 1024, "min": 128, "max": 4096}], "temperature": ["FLOAT", {"tooltip": "Randomness control. Higher values increase randomness.", "advanced": true, "default": 1.0, "min": 0.0, "max": 2.0, "step": 0.1, "display": "slider"}], "top_p": ["FLOAT", {"tooltip": "Nucleus sampling parameter.", "advanced": true, "default": 1.0, "min": 0.05, "max": 1.0, "step": 0.05, "display": "slider"}], "presence_penalty": ["FLOAT", {"tooltip": "Token presence penalty.", "advanced": true, "default": 0.0, "min": -2.0, "max": 2.0, "step": 0.1, "display": "slider"}]}}}]}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "auto_crop", "model", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["SVG"], "output_is_list": [false], "output_name": ["SVG"], "output_tooltips": [null], "output_matchtypes": null, "name": "QuiverImageToSVGNode", "display_name": "Quiver Image to SVG", "description": "Vectorize a raster image into SVG using Quiver AI.", "python_module": "comfy_api_nodes.nodes_quiver", "category": "api node/image/Quiver", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.429}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftTextToImageNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation.", "default": "", "multiline": true}], "size": ["COMBO", {"tooltip": "The size of the generated image.", "default": "1024x1024", "multiselect": false, "options": ["1024x1024", "1365x1024", "1024x1365", "1536x1024", "1024x1536", "1820x1024", "1024x1820", "1024x2048", "2048x1024", "1434x1024", "1024x1434", "1024x1280", "1280x1024", "1024x1707", "1707x1024"]}], "n": ["INT", {"tooltip": "The number of images to generate.", "default": 1, "min": 1, "max": 6}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "optional": {"recraft_style": ["RECRAFT_V3_STYLE", {}], "negative_prompt": ["STRING", {"tooltip": "An optional text description of undesired elements on an image.", "default": "", "forceInput": true, "multiline": false}], "recraft_controls": ["RECRAFT_CONTROLS", {"tooltip": "Optional additional controls over the generation via the Recraft Controls node."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "size", "n", "seed"], "optional": ["recraft_style", "negative_prompt", "recraft_controls"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftTextToImageNode", "display_name": "Recraft Text to Image", "description": "Generates images synchronously based on prompt and resolution.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "n", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": $round(0.04 * widgets.n, 2)}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftImageToImageNode": {"input": {"required": {"image": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "Prompt for the image generation.", "default": "", "multiline": true}], "n": ["INT", {"tooltip": "The number of images to generate.", "default": 1, "min": 1, "max": 6}], "strength": ["FLOAT", {"tooltip": "Defines the difference with the original image, should lie in [0, 1], where 0 means almost identical, and 1 means miserable similarity.", "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "optional": {"recraft_style": ["RECRAFT_V3_STYLE", {}], "negative_prompt": ["STRING", {"tooltip": "An optional text description of undesired elements on an image.", "default": "", "forceInput": true, "multiline": false}], "recraft_controls": ["RECRAFT_CONTROLS", {"tooltip": "Optional additional controls over the generation via the Recraft Controls node."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "prompt", "n", "strength", "seed"], "optional": ["recraft_style", "negative_prompt", "recraft_controls"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftImageToImageNode", "display_name": "Recraft Image to Image", "description": "Modify image based on prompt and strength.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "n", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": $round(0.04 * widgets.n, 2)}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftImageInpaintingNode": {"input": {"required": {"image": ["IMAGE", {}], "mask": ["MASK", {}], "prompt": ["STRING", {"tooltip": "Prompt for the image generation.", "default": "", "multiline": true}], "n": ["INT", {"tooltip": "The number of images to generate.", "default": 1, "min": 1, "max": 6}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "optional": {"recraft_style": ["RECRAFT_V3_STYLE", {}], "negative_prompt": ["STRING", {"tooltip": "An optional text description of undesired elements on an image.", "default": "", "forceInput": true, "multiline": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "mask", "prompt", "n", "seed"], "optional": ["recraft_style", "negative_prompt"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftImageInpaintingNode", "display_name": "Recraft Image Inpainting", "description": "Modify image based on prompt and mask.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "n", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": $round(0.04 * widgets.n, 2)}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftTextToVectorNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation.", "default": "", "multiline": true}], "substyle": ["COMBO", {"multiselect": false, "options": ["None", "bold_stroke", "chemistry", "colored_stencil", "contour_pop_art", "cosmics", "cutout", "depressive", "editorial", "emotional_flat", "engraving", "infographical", "line_art", "line_circuit", "linocut", "marker_outline", "mosaic", "naivector", "roundish_flat", "seamless", "segmented_colors", "sharp_contrast", "thin", "vector_photo", "vivid_shapes"]}], "size": ["COMBO", {"tooltip": "The size of the generated image.", "default": "1024x1024", "multiselect": false, "options": ["1024x1024", "1365x1024", "1024x1365", "1536x1024", "1024x1536", "1820x1024", "1024x1820", "1024x2048", "2048x1024", "1434x1024", "1024x1434", "1024x1280", "1280x1024", "1024x1707", "1707x1024"]}], "n": ["INT", {"tooltip": "The number of images to generate.", "default": 1, "min": 1, "max": 6}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "An optional text description of undesired elements on an image.", "default": "", "forceInput": true, "multiline": false}], "recraft_controls": ["RECRAFT_CONTROLS", {"tooltip": "Optional additional controls over the generation via the Recraft Controls node."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "substyle", "size", "n", "seed"], "optional": ["negative_prompt", "recraft_controls"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["SVG"], "output_is_list": [false], "output_name": ["SVG"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftTextToVectorNode", "display_name": "Recraft Text to Vector", "description": "Generates SVG synchronously based on prompt and resolution.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "n", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": $round(0.08 * widgets.n, 2)}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftVectorizeImageNode": {"input": {"required": {"image": ["IMAGE", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["SVG"], "output_is_list": [false], "output_name": ["SVG"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftVectorizeImageNode", "display_name": "Recraft Vectorize Image", "description": "Generates SVG synchronously from an input image.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 0.01}"}, "search_aliases": null, "essentials_category": "Image Tools", "has_intermediate_output": false}, "RecraftRemoveBackgroundNode": {"input": {"required": {"image": ["IMAGE", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "output_tooltips": [null, null], "output_matchtypes": null, "name": "RecraftRemoveBackgroundNode", "display_name": "Recraft Remove Background", "description": "Remove background from image, and return processed image and mask.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.01}"}, "search_aliases": null, "essentials_category": "Image Tools", "has_intermediate_output": false}, "RecraftReplaceBackgroundNode": {"input": {"required": {"image": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "Prompt for the image generation.", "default": "", "multiline": true}], "n": ["INT", {"tooltip": "The number of images to generate.", "default": 1, "min": 1, "max": 6}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "optional": {"recraft_style": ["RECRAFT_V3_STYLE", {}], "negative_prompt": ["STRING", {"tooltip": "An optional text description of undesired elements on an image.", "default": "", "forceInput": true, "multiline": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "prompt", "n", "seed"], "optional": ["recraft_style", "negative_prompt"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftReplaceBackgroundNode", "display_name": "Recraft Replace Background", "description": "Replace background on image, based on provided prompt.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.04}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftCrispUpscaleNode": {"input": {"required": {"image": ["IMAGE", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftCrispUpscaleNode", "display_name": "Recraft Crisp Upscale Image", "description": "Upscale image synchronously.\nEnhances a given raster image using \u2018crisp upscale\u2019 tool, increasing image resolution, making the image sharper and cleaner.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.004}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftCreativeUpscaleNode": {"input": {"required": {"image": ["IMAGE", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftCreativeUpscaleNode", "display_name": "Recraft Creative Upscale Image", "description": "Upscale image synchronously.\nEnhances a given raster image using \u2018creative upscale\u2019 tool, boosting resolution with a focus on refining small details and faces.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.25}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftStyleV3RealisticImage": {"input": {"required": {"substyle": ["COMBO", {"multiselect": false, "options": ["None", "b_and_w", "enterprise", "evening_light", "faded_nostalgia", "forest_life", "hard_flash", "hdr", "motion_blur", "mystic_naturalism", "natural_light", "natural_tones", "organic_calm", "real_life_glow", "retro_realism", "retro_snapshot", "studio_portrait", "urban_drama", "village_realism", "warm_folk"]}]}}, "input_order": {"required": ["substyle"]}, "is_input_list": false, "output": ["RECRAFT_V3_STYLE"], "output_is_list": [false], "output_name": ["recraft_style"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftStyleV3RealisticImage", "display_name": "Recraft Style - Realistic Image", "description": "Select realistic_image style and optional substyle.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftStyleV3DigitalIllustration": {"input": {"required": {"substyle": ["COMBO", {"multiselect": false, "options": ["None", "2d_art_poster", "2d_art_poster_2", "antiquarian", "bold_fantasy", "child_book", "child_books", "cover", "crosshatch", "digital_engraving", "engraving_color", "expressionism", "freehand_details", "grain", "grain_20", "graphic_intensity", "hand_drawn", "hand_drawn_outline", "handmade_3d", "hard_comics", "infantile_sketch", "long_shadow", "modern_folk", "multicolor", "neon_calm", "noir", "nostalgic_pastel", "outline_details", "pastel_gradient", "pastel_sketch", "pixel_art", "plastic", "pop_art", "pop_renaissance", "seamless", "street_art", "tablet_sketch", "urban_glow", "urban_sketching", "vanilla_dreams", "young_adult_book", "young_adult_book_2"]}]}}, "input_order": {"required": ["substyle"]}, "is_input_list": false, "output": ["RECRAFT_V3_STYLE"], "output_is_list": [false], "output_name": ["recraft_style"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftStyleV3DigitalIllustration", "display_name": "Recraft Style - Digital Illustration", "description": "Select realistic_image style and optional substyle.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftStyleV3LogoRaster": {"input": {"required": {"substyle": ["COMBO", {"multiselect": false, "options": ["emblem_graffiti", "emblem_pop_art", "emblem_punk", "emblem_stamp", "emblem_vintage"]}]}}, "input_order": {"required": ["substyle"]}, "is_input_list": false, "output": ["RECRAFT_V3_STYLE"], "output_is_list": [false], "output_name": ["recraft_style"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftStyleV3LogoRaster", "display_name": "Recraft Style - Logo Raster", "description": "Select realistic_image style and optional substyle.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftStyleV3InfiniteStyleLibrary": {"input": {"required": {"style_id": ["STRING", {"tooltip": "UUID of style from Infinite Style Library.", "default": "", "multiline": false}]}}, "input_order": {"required": ["style_id"]}, "is_input_list": false, "output": ["RECRAFT_V3_STYLE"], "output_is_list": [false], "output_name": ["recraft_style"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftStyleV3InfiniteStyleLibrary", "display_name": "Recraft Style - Infinite Style Library", "description": "Choose style based on preexisting UUID from Recraft's Infinite Style Library.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftCreateStyleNode": {"input": {"required": {"style": ["COMBO", {"tooltip": "The base style of the generated images.", "multiselect": false, "options": ["realistic_image", "digital_illustration"]}], "images": ["COMFY_AUTOGROW_V3", {"template": {"input": {"required": {"image": ["IMAGE", {}]}}, "prefix": "image", "min": 1, "max": 5}}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["style", "images"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["style_id"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftCreateStyleNode", "display_name": "Recraft Create Style", "description": "Create a custom style from reference images. Upload 1-5 images to use as style references. Total size of all images is limited to 5 MB.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 0.04}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftColorRGB": {"input": {"required": {"r": ["INT", {"tooltip": "Red value of color.", "default": 0, "min": 0, "max": 255}], "g": ["INT", {"tooltip": "Green value of color.", "default": 0, "min": 0, "max": 255}], "b": ["INT", {"tooltip": "Blue value of color.", "default": 0, "min": 0, "max": 255}]}, "optional": {"recraft_color": ["RECRAFT_COLOR", {}]}}, "input_order": {"required": ["r", "g", "b"], "optional": ["recraft_color"]}, "is_input_list": false, "output": ["RECRAFT_COLOR"], "output_is_list": [false], "output_name": ["recraft_color"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftColorRGB", "display_name": "Recraft Color RGB", "description": "Create Recraft Color by choosing specific RGB values.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftControls": {"input": {"required": {}, "optional": {"colors": ["RECRAFT_COLOR", {}], "background_color": ["RECRAFT_COLOR", {}]}}, "input_order": {"required": [], "optional": ["colors", "background_color"]}, "is_input_list": false, "output": ["RECRAFT_CONTROLS"], "output_is_list": [false], "output_name": ["recraft_controls"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftControls", "display_name": "Recraft Controls", "description": "Create Recraft Controls for customizing Recraft generation.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": false, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftV4TextToImageNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation. Maximum 10,000 characters.", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "An optional text description of undesired elements on an image.", "multiline": true}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "The model to use for generation.", "options": [{"key": "recraftv4", "inputs": {"required": {"size": ["COMBO", {"tooltip": "The size of the generated image.", "default": "1024x1024", "multiselect": false, "options": ["1024x1024", "1536x768", "768x1536", "1280x832", "832x1280", "1216x896", "896x1216", "1152x896", "896x1152", "832x1344", "1280x896", "896x1280", "1344x768", "768x1344"]}]}}}, {"key": "recraftv4_pro", "inputs": {"required": {"size": ["COMBO", {"tooltip": "The size of the generated image.", "default": "2048x2048", "multiselect": false, "options": ["2048x2048", "3072x1536", "1536x3072", "2560x1664", "1664x2560", "2432x1792", "1792x2432", "2304x1792", "1792x2304", "1664x2688", "1434x1024", "1024x1434", "2560x1792", "1792x2560"]}]}}}]}], "n": ["INT", {"tooltip": "The number of images to generate.", "default": 1, "min": 1, "max": 6}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "optional": {"recraft_controls": ["RECRAFT_CONTROLS", {"tooltip": "Optional additional controls over the generation via the Recraft Controls node."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "negative_prompt", "model", "n", "seed"], "optional": ["recraft_controls"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftV4TextToImageNode", "display_name": "Recraft V4 Text to Image", "description": "Generates images using Recraft V4 or V4 Pro models.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "n", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                    $prices := {\"recraftv4\": 0.04, \"recraftv4_pro\": 0.25};\n                    {\"type\":\"usd\",\"usd\": $lookup($prices, widgets.model) * widgets.n}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RecraftV4TextToVectorNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Prompt for the image generation. Maximum 10,000 characters.", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "An optional text description of undesired elements on an image.", "multiline": true}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "The model to use for generation.", "options": [{"key": "recraftv4", "inputs": {"required": {"size": ["COMBO", {"tooltip": "The size of the generated image.", "default": "1024x1024", "multiselect": false, "options": ["1024x1024", "1536x768", "768x1536", "1280x832", "832x1280", "1216x896", "896x1216", "1152x896", "896x1152", "832x1344", "1280x896", "896x1280", "1344x768", "768x1344"]}]}}}, {"key": "recraftv4_pro", "inputs": {"required": {"size": ["COMBO", {"tooltip": "The size of the generated image.", "default": "2048x2048", "multiselect": false, "options": ["2048x2048", "3072x1536", "1536x3072", "2560x1664", "1664x2560", "2432x1792", "1792x2432", "2304x1792", "1792x2304", "1664x2688", "1434x1024", "1024x1434", "2560x1792", "1792x2560"]}]}}}]}], "n": ["INT", {"tooltip": "The number of images to generate.", "default": 1, "min": 1, "max": 6}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}]}, "optional": {"recraft_controls": ["RECRAFT_CONTROLS", {"tooltip": "Optional additional controls over the generation via the Recraft Controls node."}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "negative_prompt", "model", "n", "seed"], "optional": ["recraft_controls"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["SVG"], "output_is_list": [false], "output_name": ["SVG"], "output_tooltips": [null], "output_matchtypes": null, "name": "RecraftV4TextToVectorNode", "display_name": "Recraft V4 Text to Vector", "description": "Generates SVG using Recraft V4 or V4 Pro models.", "python_module": "comfy_api_nodes.nodes_recraft", "category": "api node/image/Recraft", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "n", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                    $prices := {\"recraftv4\": 0.08, \"recraftv4_pro\": 0.30};\n                    {\"type\":\"usd\",\"usd\": $lookup($prices, widgets.model) * widgets.n}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ReveImageCreateNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text description of the desired image. Maximum 2560 characters.", "default": "", "multiline": true}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model version to use for generation.", "options": [{"key": "reve-create@20250915", "inputs": {"required": {"aspect_ratio": ["COMBO", {"tooltip": "Aspect ratio of the output image.", "multiselect": false, "options": ["3:2", "16:9", "9:16", "2:3", "4:3", "3:4", "1:1"]}], "test_time_scaling": ["INT", {"tooltip": "Higher values produce better images but cost more credits.", "advanced": true, "default": 1, "min": 1, "max": 5, "step": 1}]}}}]}], "upscale": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Upscale the generated image. May add additional cost.", "options": [{"key": "disabled", "inputs": {"required": {}}}, {"key": "enabled", "inputs": {"required": {"upscale_factor": ["INT", {"tooltip": "Upscale factor (2x, 3x, or 4x).", "default": 2, "min": 2, "max": 4, "step": 1}]}}}]}], "remove_background": ["BOOLEAN", {"tooltip": "Remove the background from the generated image. May add additional cost.", "default": false}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "model", "upscale", "remove_background", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "ReveImageCreateNode", "display_name": "Reve Image Create", "description": "Generate images from text descriptions using Reve.", "python_module": "comfy_api_nodes.nodes_reve", "category": "api node/image/Reve", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "upscale", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "upscale.upscale_factor", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                    $factor := $lookup(widgets, \"upscale.upscale_factor\");\n                    $fmt := {\"approximate\": true, \"note\": \"(base)\"};\n                    widgets.upscale = \"enabled\" ? (\n                        $factor = 4 ? {\"type\": \"usd\", \"usd\": 0.0762, \"format\": $fmt}\n                        : $factor = 3 ? {\"type\": \"usd\", \"usd\": 0.0591, \"format\": $fmt}\n                        : {\"type\": \"usd\", \"usd\": 0.0457, \"format\": $fmt}\n                    ) : {\"type\": \"usd\", \"usd\": 0.03432, \"format\": $fmt}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ReveImageEditNode": {"input": {"required": {"image": ["IMAGE", {"tooltip": "The image to edit."}], "edit_instruction": ["STRING", {"tooltip": "Text description of how to edit the image. Maximum 2560 characters.", "default": "", "multiline": true}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model version to use for editing.", "options": [{"key": "reve-edit@20250915", "inputs": {"required": {"aspect_ratio": ["COMBO", {"tooltip": "Aspect ratio of the output image.", "multiselect": false, "options": ["auto", "16:9", "9:16", "3:2", "2:3", "4:3", "3:4", "1:1"]}], "test_time_scaling": ["INT", {"tooltip": "Higher values produce better images but cost more credits.", "advanced": true, "default": 1, "min": 1, "max": 5, "step": 1}]}}}, {"key": "reve-edit-fast@20251030", "inputs": {"required": {"aspect_ratio": ["COMBO", {"tooltip": "Aspect ratio of the output image.", "multiselect": false, "options": ["auto", "16:9", "9:16", "3:2", "2:3", "4:3", "3:4", "1:1"]}], "test_time_scaling": ["INT", {"tooltip": "Higher values produce better images but cost more credits.", "advanced": true, "default": 1, "min": 1, "max": 5, "step": 1}]}}}]}], "upscale": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Upscale the generated image. May add additional cost.", "options": [{"key": "disabled", "inputs": {"required": {}}}, {"key": "enabled", "inputs": {"required": {"upscale_factor": ["INT", {"tooltip": "Upscale factor (2x, 3x, or 4x).", "default": 2, "min": 2, "max": 4, "step": 1}]}}}]}], "remove_background": ["BOOLEAN", {"tooltip": "Remove the background from the generated image. May add additional cost.", "default": false}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "edit_instruction", "model", "upscale", "remove_background", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "ReveImageEditNode", "display_name": "Reve Image Edit", "description": "Edit images using natural language instructions with Reve.", "python_module": "comfy_api_nodes.nodes_reve", "category": "api node/image/Reve", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "upscale", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "upscale.upscale_factor", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                    $fmt := {\"approximate\": true, \"note\": \"(base)\"};\n                    $isFast := $contains(widgets.model, \"fast\");\n                    $enabled := widgets.upscale = \"enabled\";\n                    $factor := $lookup(widgets, \"upscale.upscale_factor\");\n                    $isFast\n                        ? {\"type\": \"usd\", \"usd\": 0.01001, \"format\": $fmt}\n                        : $enabled ? (\n                            $factor = 4 ? {\"type\": \"usd\", \"usd\": 0.0991, \"format\": $fmt}\n                            : $factor = 3 ? {\"type\": \"usd\", \"usd\": 0.0819, \"format\": $fmt}\n                            : {\"type\": \"usd\", \"usd\": 0.0686, \"format\": $fmt}\n                        ) : {\"type\": \"usd\", \"usd\": 0.0572, \"format\": $fmt}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ReveImageRemixNode": {"input": {"required": {"reference_images": ["COMFY_AUTOGROW_V3", {"template": {"input": {"required": {"image": ["IMAGE", {}]}}, "prefix": "image_", "min": 1, "max": 6}}], "prompt": ["STRING", {"tooltip": "Text description of the desired image. May include XML img tags to reference specific images by index, e.g. <img>0</img>, <img>1</img>, etc.", "default": "", "multiline": true}], "model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model version to use for remixing.", "options": [{"key": "reve-remix@20250915", "inputs": {"required": {"aspect_ratio": ["COMBO", {"tooltip": "Aspect ratio of the output image.", "multiselect": false, "options": ["auto", "16:9", "9:16", "3:2", "2:3", "4:3", "3:4", "1:1"]}], "test_time_scaling": ["INT", {"tooltip": "Higher values produce better images but cost more credits.", "advanced": true, "default": 1, "min": 1, "max": 5, "step": 1}]}}}, {"key": "reve-remix-fast@20251030", "inputs": {"required": {"aspect_ratio": ["COMBO", {"tooltip": "Aspect ratio of the output image.", "multiselect": false, "options": ["auto", "16:9", "9:16", "3:2", "2:3", "4:3", "3:4", "1:1"]}], "test_time_scaling": ["INT", {"tooltip": "Higher values produce better images but cost more credits.", "advanced": true, "default": 1, "min": 1, "max": 5, "step": 1}]}}}]}], "upscale": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Upscale the generated image. May add additional cost.", "options": [{"key": "disabled", "inputs": {"required": {}}}, {"key": "enabled", "inputs": {"required": {"upscale_factor": ["INT", {"tooltip": "Upscale factor (2x, 3x, or 4x).", "default": 2, "min": 2, "max": 4, "step": 1}]}}}]}], "remove_background": ["BOOLEAN", {"tooltip": "Remove the background from the generated image. May add additional cost.", "default": false}], "seed": ["INT", {"tooltip": "Seed controls whether the node should re-run; results are non-deterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "control_after_generate": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["reference_images", "prompt", "model", "upscale", "remove_background", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "ReveImageRemixNode", "display_name": "Reve Image Remix", "description": "Combine reference images with text prompts to create new images using Reve.", "python_module": "comfy_api_nodes.nodes_reve", "category": "api node/image/Reve", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "upscale", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "upscale.upscale_factor", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                    $fmt := {\"approximate\": true, \"note\": \"(base)\"};\n                    $isFast := $contains(widgets.model, \"fast\");\n                    $enabled := widgets.upscale = \"enabled\";\n                    $factor := $lookup(widgets, \"upscale.upscale_factor\");\n                    $isFast\n                        ? {\"type\": \"usd\", \"usd\": 0.01001, \"format\": $fmt}\n                        : $enabled ? (\n                            $factor = 4 ? {\"type\": \"usd\", \"usd\": 0.0991, \"format\": $fmt}\n                            : $factor = 3 ? {\"type\": \"usd\", \"usd\": 0.0819, \"format\": $fmt}\n                            : {\"type\": \"usd\", \"usd\": 0.0686, \"format\": $fmt}\n                        ) : {\"type\": \"usd\", \"usd\": 0.0572, \"format\": $fmt}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Rodin3D_Regular": {"input": {"required": {"Images": ["IMAGE", {}]}, "optional": {"Seed": ["INT", {"default": 0, "min": 0, "max": 65535, "display": "number"}], "Material_Type": ["COMBO", {"default": "PBR", "multiselect": false, "options": ["PBR", "Shaded"]}], "Polygon_count": ["COMBO", {"default": "18K-Quad", "multiselect": false, "options": ["4K-Quad", "8K-Quad", "18K-Quad", "50K-Quad", "200K-Triangle"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["Images"], "optional": ["Seed", "Material_Type", "Polygon_count"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["STRING", "FILE_3D_GLB"], "output_is_list": [false, false], "output_name": ["3D Model Path", "GLB"], "output_tooltips": [null, null], "output_matchtypes": null, "name": "Rodin3D_Regular", "display_name": "Rodin 3D Generate - Regular Generate", "description": "Generate 3D Assets using Rodin API", "python_module": "comfy_api_nodes.nodes_rodin", "category": "api node/3d/Rodin", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.4}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Rodin3D_Detail": {"input": {"required": {"Images": ["IMAGE", {}]}, "optional": {"Seed": ["INT", {"default": 0, "min": 0, "max": 65535, "display": "number"}], "Material_Type": ["COMBO", {"default": "PBR", "multiselect": false, "options": ["PBR", "Shaded"]}], "Polygon_count": ["COMBO", {"default": "18K-Quad", "multiselect": false, "options": ["4K-Quad", "8K-Quad", "18K-Quad", "50K-Quad", "200K-Triangle"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["Images"], "optional": ["Seed", "Material_Type", "Polygon_count"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["STRING", "FILE_3D_GLB"], "output_is_list": [false, false], "output_name": ["3D Model Path", "GLB"], "output_tooltips": [null, null], "output_matchtypes": null, "name": "Rodin3D_Detail", "display_name": "Rodin 3D Generate - Detail Generate", "description": "Generate 3D Assets using Rodin API", "python_module": "comfy_api_nodes.nodes_rodin", "category": "api node/3d/Rodin", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.4}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Rodin3D_Smooth": {"input": {"required": {"Images": ["IMAGE", {}]}, "optional": {"Seed": ["INT", {"default": 0, "min": 0, "max": 65535, "display": "number"}], "Material_Type": ["COMBO", {"default": "PBR", "multiselect": false, "options": ["PBR", "Shaded"]}], "Polygon_count": ["COMBO", {"default": "18K-Quad", "multiselect": false, "options": ["4K-Quad", "8K-Quad", "18K-Quad", "50K-Quad", "200K-Triangle"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["Images"], "optional": ["Seed", "Material_Type", "Polygon_count"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["STRING", "FILE_3D_GLB"], "output_is_list": [false, false], "output_name": ["3D Model Path", "GLB"], "output_tooltips": [null, null], "output_matchtypes": null, "name": "Rodin3D_Smooth", "display_name": "Rodin 3D Generate - Smooth Generate", "description": "Generate 3D Assets using Rodin API", "python_module": "comfy_api_nodes.nodes_rodin", "category": "api node/3d/Rodin", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.4}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Rodin3D_Sketch": {"input": {"required": {"Images": ["IMAGE", {}]}, "optional": {"Seed": ["INT", {"default": 0, "min": 0, "max": 65535, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["Images"], "optional": ["Seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["STRING", "FILE_3D_GLB"], "output_is_list": [false, false], "output_name": ["3D Model Path", "GLB"], "output_tooltips": [null, null], "output_matchtypes": null, "name": "Rodin3D_Sketch", "display_name": "Rodin 3D Generate - Sketch Generate", "description": "Generate 3D Assets using Rodin API", "python_module": "comfy_api_nodes.nodes_rodin", "category": "api node/3d/Rodin", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.4}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Rodin3D_Gen2": {"input": {"required": {"Images": ["IMAGE", {}], "TAPose": ["BOOLEAN", {"advanced": true, "default": false}]}, "optional": {"Seed": ["INT", {"default": 0, "min": 0, "max": 65535, "display": "number"}], "Material_Type": ["COMBO", {"default": "PBR", "multiselect": false, "options": ["PBR", "Shaded"]}], "Polygon_count": ["COMBO", {"default": "500K-Triangle", "multiselect": false, "options": ["4K-Quad", "8K-Quad", "18K-Quad", "50K-Quad", "2K-Triangle", "20K-Triangle", "150K-Triangle", "500K-Triangle"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["Images", "TAPose"], "optional": ["Seed", "Material_Type", "Polygon_count"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["STRING", "FILE_3D_GLB"], "output_is_list": [false, false], "output_name": ["3D Model Path", "GLB"], "output_tooltips": [null, null], "output_matchtypes": null, "name": "Rodin3D_Gen2", "display_name": "Rodin 3D Generate - Gen-2 Generate", "description": "Generate 3D Assets using Rodin API", "python_module": "comfy_api_nodes.nodes_rodin", "category": "api node/3d/Rodin", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.4}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RunwayFirstLastFrameNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text prompt for the generation", "default": "", "multiline": true}], "start_frame": ["IMAGE", {"tooltip": "Start frame to be used for the video"}], "end_frame": ["IMAGE", {"tooltip": "End frame to be used for the video. Supported for gen3a_turbo only."}], "duration": ["COMBO", {"multiselect": false, "options": [5, 10]}], "ratio": ["COMBO", {"multiselect": false, "options": ["768:1280", "1280:768"]}], "seed": ["INT", {"tooltip": "Random seed for generation", "default": 0, "min": 0, "max": 4294967295, "step": 1, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "start_frame", "end_frame", "duration", "ratio", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "RunwayFirstLastFrameNode", "display_name": "Runway First-Last-Frame to Video", "description": "Upload first and last keyframes, draft a prompt, and generate a video. More complex transitions, such as cases where the Last frame is completely different from the First frame, may benefit from the longer 10s duration. This would give the generation more time to smoothly transition between the two inputs. Before diving in, review these best practices to ensure that your input selections will set your generation up for success: https://help.runwayml.com/hc/en-us/articles/34170748696595-Creating-with-Keyframes-on-Gen-3.", "python_module": "comfy_api_nodes.nodes_runway", "category": "api node/video/Runway", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 0.0715 * widgets.duration}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RunwayImageToVideoNodeGen3a": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text prompt for the generation", "default": "", "multiline": true}], "start_frame": ["IMAGE", {"tooltip": "Start frame to be used for the video"}], "duration": ["COMBO", {"multiselect": false, "options": [5, 10]}], "ratio": ["COMBO", {"multiselect": false, "options": ["768:1280", "1280:768"]}], "seed": ["INT", {"tooltip": "Random seed for generation", "default": 0, "min": 0, "max": 4294967295, "step": 1, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "start_frame", "duration", "ratio", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "RunwayImageToVideoNodeGen3a", "display_name": "Runway Image to Video (Gen3a Turbo)", "description": "Generate a video from a single starting frame using Gen3a Turbo model. Before diving in, review these best practices to ensure that your input selections will set your generation up for success: https://help.runwayml.com/hc/en-us/articles/33927968552339-Creating-with-Act-One-on-Gen-3-Alpha-and-Turbo.", "python_module": "comfy_api_nodes.nodes_runway", "category": "api node/video/Runway", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 0.0715 * widgets.duration}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RunwayImageToVideoNodeGen4": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text prompt for the generation", "default": "", "multiline": true}], "start_frame": ["IMAGE", {"tooltip": "Start frame to be used for the video"}], "duration": ["COMBO", {"multiselect": false, "options": [5, 10]}], "ratio": ["COMBO", {"multiselect": false, "options": ["1280:720", "720:1280", "1104:832", "832:1104", "960:960", "1584:672"]}], "seed": ["INT", {"tooltip": "Random seed for generation", "default": 0, "min": 0, "max": 4294967295, "step": 1, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "start_frame", "duration", "ratio", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "RunwayImageToVideoNodeGen4", "display_name": "Runway Image to Video (Gen4 Turbo)", "description": "Generate a video from a single starting frame using Gen4 Turbo model. Before diving in, review these best practices to ensure that your input selections will set your generation up for success: https://help.runwayml.com/hc/en-us/articles/37327109429011-Creating-with-Gen-4-Video.", "python_module": "comfy_api_nodes.nodes_runway", "category": "api node/video/Runway", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 0.0715 * widgets.duration}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "RunwayTextToImageNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text prompt for the generation", "default": "", "multiline": true}], "ratio": ["COMBO", {"multiselect": false, "options": ["1920:1080", "1080:1920", "1024:1024", "1360:768", "1080:1080", "1168:880", "1440:1080", "1080:1440", "1808:768", "2112:912"]}]}, "optional": {"reference_image": ["IMAGE", {"tooltip": "Optional reference image to guide the generation"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "ratio"], "optional": ["reference_image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "RunwayTextToImageNode", "display_name": "Runway Text to Image", "description": "Generate an image from a text prompt using Runway's Gen 4 model. You can also include reference image to guide the generation.", "python_module": "comfy_api_nodes.nodes_runway", "category": "api node/image/Runway", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.11}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "OpenAIVideoSora2": {"input": {"required": {"model": ["COMBO", {"default": "sora-2", "multiselect": false, "options": ["sora-2", "sora-2-pro"]}], "prompt": ["STRING", {"tooltip": "Guiding text; may be empty if an input image is present.", "default": "", "multiline": true}], "size": ["COMBO", {"default": "1280x720", "multiselect": false, "options": ["720x1280", "1280x720", "1024x1792", "1792x1024"]}], "duration": ["COMBO", {"default": 8, "multiselect": false, "options": [4, 8, 12]}]}, "optional": {"image": ["IMAGE", {}], "seed": ["INT", {"tooltip": "Seed to determine if node should re-run; actual results are nondeterministic regardless of seed.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "size", "duration"], "optional": ["image", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "OpenAIVideoSora2", "display_name": "OpenAI Sora - Video", "description": "OpenAI video and audio generation.", "python_module": "comfy_api_nodes.nodes_sora", "category": "api node/video/Sora", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "size", "type": "COMBO"}, {"name": "duration", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.model;\n                  $size := widgets.size;\n                  $dur := widgets.duration;\n                  $isPro := $contains($m, \"sora-2-pro\");\n                  $isSora2 := $contains($m, \"sora-2\");\n                  $isProSize := ($size = \"1024x1792\" or $size = \"1792x1024\");\n                  $perSec :=\n                    $isPro ? ($isProSize ? 0.5 : 0.3) :\n                    $isSora2 ? 0.1 :\n                    ($isProSize ? 0.5 : 0.1);\n                  {\"type\":\"usd\",\"usd\": $round($perSec * $dur, 2)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "StabilityStableImageUltraNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "What you wish to see in the output image. A strong, descriptive prompt that clearly defineselements, colors, and subjects will lead to better results. To control the weight of a given word use the format `(word:weight)`,where `word` is the word you'd like to control the weight of and `weight`is a value between 0 and 1. For example: `The sky was a crisp (blue:0.3) and (green:0.8)`would convey a sky that was blue and green, but more green than blue.", "default": "", "multiline": true}], "aspect_ratio": ["COMBO", {"tooltip": "Aspect ratio of generated image.", "default": "1:1", "multiselect": false, "options": ["1:1", "16:9", "9:16", "3:2", "2:3", "5:4", "4:5", "21:9", "9:21"]}], "style_preset": ["COMBO", {"tooltip": "Optional desired style of generated image.", "advanced": true, "multiselect": false, "options": ["None", "3d-model", "analog-film", "anime", "cinematic", "comic-book", "digital-art", "enhance", "fantasy-art", "isometric", "line-art", "low-poly", "modeling-compound", "neon-punk", "origami", "photographic", "pixel-art", "tile-texture"]}], "seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 4294967294, "step": 1, "control_after_generate": true, "display": "number"}]}, "optional": {"image": ["IMAGE", {}], "negative_prompt": ["STRING", {"tooltip": "A blurb of text describing what you do not wish to see in the output image. This is an advanced feature.", "advanced": true, "default": "", "forceInput": true, "multiline": false}], "image_denoise": ["FLOAT", {"tooltip": "Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all.", "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "aspect_ratio", "style_preset", "seed"], "optional": ["image", "negative_prompt", "image_denoise"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "StabilityStableImageUltraNode", "display_name": "Stability AI Stable Image Ultra", "description": "Generates images synchronously based on prompt and resolution.", "python_module": "comfy_api_nodes.nodes_stability", "category": "api node/image/Stability AI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.08}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "StabilityStableImageSD_3_5Node": {"input": {"required": {"prompt": ["STRING", {"tooltip": "What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results.", "default": "", "multiline": true}], "model": ["COMBO", {"multiselect": false, "options": ["sd3.5-large", "sd3.5-medium"]}], "aspect_ratio": ["COMBO", {"tooltip": "Aspect ratio of generated image.", "default": "1:1", "multiselect": false, "options": ["1:1", "16:9", "9:16", "3:2", "2:3", "5:4", "4:5", "21:9", "9:21"]}], "style_preset": ["COMBO", {"tooltip": "Optional desired style of generated image.", "advanced": true, "multiselect": false, "options": ["None", "3d-model", "analog-film", "anime", "cinematic", "comic-book", "digital-art", "enhance", "fantasy-art", "isometric", "line-art", "low-poly", "modeling-compound", "neon-punk", "origami", "photographic", "pixel-art", "tile-texture"]}], "cfg_scale": ["FLOAT", {"tooltip": "How strictly the diffusion process adheres to the prompt text (higher values keep your image closer to your prompt)", "default": 4.0, "min": 1.0, "max": 10.0, "step": 0.1}], "seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 4294967294, "step": 1, "control_after_generate": true, "display": "number"}]}, "optional": {"image": ["IMAGE", {}], "negative_prompt": ["STRING", {"tooltip": "Keywords of what you do not wish to see in the output image. This is an advanced feature.", "advanced": true, "default": "", "forceInput": true, "multiline": false}], "image_denoise": ["FLOAT", {"tooltip": "Denoise of input image; 0.0 yields image identical to input, 1.0 is as if no image was provided at all.", "default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "model", "aspect_ratio", "style_preset", "cfg_scale", "seed"], "optional": ["image", "negative_prompt", "image_denoise"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "StabilityStableImageSD_3_5Node", "display_name": "Stability AI Stable Diffusion 3.5 Image", "description": "Generates images synchronously based on prompt and resolution.", "python_module": "comfy_api_nodes.nodes_stability", "category": "api node/image/Stability AI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $contains(widgets.model,\"large\")\n                    ? {\"type\":\"usd\",\"usd\":0.065}\n                    : {\"type\":\"usd\",\"usd\":0.035}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "StabilityUpscaleConservativeNode": {"input": {"required": {"image": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results.", "default": "", "multiline": true}], "creativity": ["FLOAT", {"tooltip": "Controls the likelihood of creating additional details not heavily conditioned by the init image.", "default": 0.35, "min": 0.2, "max": 0.5, "step": 0.01}], "seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 4294967294, "step": 1, "control_after_generate": true, "display": "number"}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "Keywords of what you do not wish to see in the output image. This is an advanced feature.", "advanced": true, "default": "", "forceInput": true, "multiline": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "prompt", "creativity", "seed"], "optional": ["negative_prompt"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "StabilityUpscaleConservativeNode", "display_name": "Stability AI Upscale Conservative", "description": "Upscale image with minimal alterations to 4K resolution.", "python_module": "comfy_api_nodes.nodes_stability", "category": "api node/image/Stability AI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.25}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "StabilityUpscaleCreativeNode": {"input": {"required": {"image": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "What you wish to see in the output image. A strong, descriptive prompt that clearly defines elements, colors, and subjects will lead to better results.", "default": "", "multiline": true}], "creativity": ["FLOAT", {"tooltip": "Controls the likelihood of creating additional details not heavily conditioned by the init image.", "default": 0.3, "min": 0.1, "max": 0.5, "step": 0.01}], "style_preset": ["COMBO", {"tooltip": "Optional desired style of generated image.", "advanced": true, "multiselect": false, "options": ["None", "3d-model", "analog-film", "anime", "cinematic", "comic-book", "digital-art", "enhance", "fantasy-art", "isometric", "line-art", "low-poly", "modeling-compound", "neon-punk", "origami", "photographic", "pixel-art", "tile-texture"]}], "seed": ["INT", {"tooltip": "The random seed used for creating the noise.", "default": 0, "min": 0, "max": 4294967294, "step": 1, "control_after_generate": true, "display": "number"}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "Keywords of what you do not wish to see in the output image. This is an advanced feature.", "advanced": true, "default": "", "forceInput": true, "multiline": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image", "prompt", "creativity", "style_preset", "seed"], "optional": ["negative_prompt"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "StabilityUpscaleCreativeNode", "display_name": "Stability AI Upscale Creative", "description": "Upscale image with minimal alterations to 4K resolution.", "python_module": "comfy_api_nodes.nodes_stability", "category": "api node/image/Stability AI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.25}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "StabilityUpscaleFastNode": {"input": {"required": {"image": ["IMAGE", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["image"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "StabilityUpscaleFastNode", "display_name": "Stability AI Upscale Fast", "description": "Quickly upscales an image via Stability API call to 4x its original size; intended for upscaling low-quality/compressed images.", "python_module": "comfy_api_nodes.nodes_stability", "category": "api node/image/Stability AI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.01}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "StabilityTextToAudio": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["stable-audio-2.5"]}], "prompt": ["STRING", {"default": "", "multiline": true}]}, "optional": {"duration": ["INT", {"tooltip": "Controls the duration in seconds of the generated audio.", "default": 190, "min": 1, "max": 190, "step": 1}], "seed": ["INT", {"tooltip": "The random seed used for generation.", "default": 0, "min": 0, "max": 4294967294, "step": 1, "control_after_generate": true, "display": "number"}], "steps": ["INT", {"tooltip": "Controls the number of sampling steps.", "advanced": true, "default": 8, "min": 4, "max": 8, "step": 1}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt"], "optional": ["duration", "seed", "steps"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["AUDIO"], "output_is_list": [false], "output_name": ["AUDIO"], "output_tooltips": [null], "output_matchtypes": null, "name": "StabilityTextToAudio", "display_name": "Stability AI Text To Audio", "description": "Generates high-quality music and sound effects from text descriptions.", "python_module": "comfy_api_nodes.nodes_stability", "category": "api node/audio/Stability AI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.2}"}, "search_aliases": null, "essentials_category": "Audio", "has_intermediate_output": false}, "StabilityAudioToAudio": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["stable-audio-2.5"]}], "prompt": ["STRING", {"default": "", "multiline": true}], "audio": ["AUDIO", {"tooltip": "Audio must be between 6 and 190 seconds long."}]}, "optional": {"duration": ["INT", {"tooltip": "Controls the duration in seconds of the generated audio.", "default": 190, "min": 1, "max": 190, "step": 1}], "seed": ["INT", {"tooltip": "The random seed used for generation.", "default": 0, "min": 0, "max": 4294967294, "step": 1, "control_after_generate": true, "display": "number"}], "steps": ["INT", {"tooltip": "Controls the number of sampling steps.", "advanced": true, "default": 8, "min": 4, "max": 8, "step": 1}], "strength": ["FLOAT", {"tooltip": "Parameter controls how much influence the audio parameter has on the generated audio.", "default": 1, "min": 0.01, "max": 1.0, "step": 0.01, "display": "slider"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "audio"], "optional": ["duration", "seed", "steps", "strength"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["AUDIO"], "output_is_list": [false], "output_name": ["AUDIO"], "output_tooltips": [null], "output_matchtypes": null, "name": "StabilityAudioToAudio", "display_name": "Stability AI Audio To Audio", "description": "Transforms existing audio samples into new high-quality compositions using text instructions.", "python_module": "comfy_api_nodes.nodes_stability", "category": "api node/audio/Stability AI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.2}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "StabilityAudioInpaint": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["stable-audio-2.5"]}], "prompt": ["STRING", {"default": "", "multiline": true}], "audio": ["AUDIO", {"tooltip": "Audio must be between 6 and 190 seconds long."}]}, "optional": {"duration": ["INT", {"tooltip": "Controls the duration in seconds of the generated audio.", "default": 190, "min": 1, "max": 190, "step": 1}], "seed": ["INT", {"tooltip": "The random seed used for generation.", "default": 0, "min": 0, "max": 4294967294, "step": 1, "control_after_generate": true, "display": "number"}], "steps": ["INT", {"tooltip": "Controls the number of sampling steps.", "advanced": true, "default": 8, "min": 4, "max": 8, "step": 1}], "mask_start": ["INT", {"advanced": true, "default": 30, "min": 0, "max": 190, "step": 1}], "mask_end": ["INT", {"advanced": true, "default": 190, "min": 0, "max": 190, "step": 1}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "audio"], "optional": ["duration", "seed", "steps", "mask_start", "mask_end"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["AUDIO"], "output_is_list": [false], "output_name": ["AUDIO"], "output_tooltips": [null], "output_matchtypes": null, "name": "StabilityAudioInpaint", "display_name": "Stability AI Audio Inpaint", "description": "Transforms part of existing audio sample using text instructions.", "python_module": "comfy_api_nodes.nodes_stability", "category": "api node/audio/Stability AI", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.2}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TopazImageEnhance": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["Reimagine"]}], "image": ["IMAGE", {}]}, "optional": {"prompt": ["STRING", {"tooltip": "Optional text prompt for creative upscaling guidance.", "default": "", "multiline": true}], "subject_detection": ["COMBO", {"advanced": true, "multiselect": false, "options": ["All", "Foreground", "Background"]}], "face_enhancement": ["BOOLEAN", {"tooltip": "Enhance faces (if present) during processing.", "advanced": true, "default": true}], "face_enhancement_creativity": ["FLOAT", {"tooltip": "Set the creativity level for face enhancement.", "advanced": true, "default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01, "display": "number"}], "face_enhancement_strength": ["FLOAT", {"tooltip": "Controls how sharp enhanced faces are relative to the background.", "advanced": true, "default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "display": "number"}], "crop_to_fill": ["BOOLEAN", {"tooltip": "By default, the image is letterboxed when the output aspect ratio differs. Enable to crop the image to fill the output dimensions.", "advanced": true, "default": false}], "output_width": ["INT", {"tooltip": "Zero value means to calculate automatically (usually it will be original size or output_height if specified).", "advanced": true, "default": 0, "min": 0, "max": 32000, "step": 1, "display": "number"}], "output_height": ["INT", {"tooltip": "Zero value means to output in the same height as original or output width.", "advanced": true, "default": 0, "min": 0, "max": 32000, "step": 1, "display": "number"}], "creativity": ["INT", {"default": 3, "min": 1, "max": 9, "step": 1, "display": "slider"}], "face_preservation": ["BOOLEAN", {"tooltip": "Preserve subjects' facial identity.", "advanced": true, "default": true}], "color_preservation": ["BOOLEAN", {"tooltip": "Preserve the original colors.", "advanced": true, "default": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "image"], "optional": ["prompt", "subject_detection", "face_enhancement", "face_enhancement_creativity", "face_enhancement_strength", "crop_to_fill", "output_width", "output_height", "creativity", "face_preservation", "color_preservation"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "TopazImageEnhance", "display_name": "Topaz Image Enhance", "description": "Industry-standard upscaling and image enhancement.", "python_module": "comfy_api_nodes.nodes_topaz", "category": "api node/image/Topaz", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TopazVideoEnhance": {"input": {"required": {"video": ["VIDEO", {}], "upscaler_enabled": ["BOOLEAN", {"default": true}], "upscaler_model": ["COMBO", {"multiselect": false, "options": ["Starlight (Astra) Fast", "Starlight (Astra) Creative", "Starlight Precise 2.5"]}], "upscaler_resolution": ["COMBO", {"multiselect": false, "options": ["FullHD (1080p)", "4K (2160p)"]}]}, "optional": {"upscaler_creativity": ["COMBO", {"tooltip": "Creativity level (applies only to Starlight (Astra) Creative).", "advanced": true, "default": "low", "multiselect": false, "options": ["low", "middle", "high"]}], "interpolation_enabled": ["BOOLEAN", {"default": false}], "interpolation_model": ["COMBO", {"advanced": true, "default": "apo-8", "multiselect": false, "options": ["apo-8"]}], "interpolation_slowmo": ["INT", {"tooltip": "Slow-motion factor applied to the input video. For example, 2 makes the output twice as slow and doubles the duration.", "advanced": true, "default": 1, "min": 1, "max": 16, "display": "number"}], "interpolation_frame_rate": ["INT", {"tooltip": "Output frame rate.", "default": 60, "min": 15, "max": 240, "display": "number"}], "interpolation_duplicate": ["BOOLEAN", {"tooltip": "Analyze the input for duplicate frames and remove them.", "advanced": true, "default": false}], "interpolation_duplicate_threshold": ["FLOAT", {"tooltip": "Detection sensitivity for duplicate frames.", "advanced": true, "default": 0.01, "min": 0.001, "max": 0.1, "step": 0.001, "display": "number"}], "dynamic_compression_level": ["COMBO", {"tooltip": "CQP level.", "advanced": true, "default": "Low", "multiselect": false, "options": ["Low", "Mid", "High"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["video", "upscaler_enabled", "upscaler_model", "upscaler_resolution"], "optional": ["upscaler_creativity", "interpolation_enabled", "interpolation_model", "interpolation_slowmo", "interpolation_frame_rate", "interpolation_duplicate", "interpolation_duplicate_threshold", "dynamic_compression_level"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "TopazVideoEnhance", "display_name": "Topaz Video Enhance", "description": "Breathe new life into video with powerful upscaling and recovery technology.", "python_module": "comfy_api_nodes.nodes_topaz", "category": "api node/video/Topaz", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": null, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TripoTextToModelNode": {"input": {"required": {"prompt": ["STRING", {"multiline": true}]}, "optional": {"negative_prompt": ["STRING", {"multiline": true}], "model_version": ["COMBO", {"default": "v2.5-20250123", "multiselect": false, "options": ["v3.0-20250812", "v2.5-20250123", "v2.0-20240919", "v1.4-20240625"]}], "style": ["COMBO", {"default": "None", "multiselect": false, "options": ["person:person2cartoon", "animal:venom", "object:clay", "object:steampunk", "object:christmas", "object:barbie", "gold", "ancient_bronze", "None"]}], "texture": ["BOOLEAN", {"default": true}], "pbr": ["BOOLEAN", {"default": true}], "image_seed": ["INT", {"advanced": true, "default": 42}], "model_seed": ["INT", {"advanced": true, "default": 42}], "texture_seed": ["INT", {"advanced": true, "default": 42}], "texture_quality": ["COMBO", {"advanced": true, "default": "standard", "multiselect": false, "options": ["standard", "detailed"]}], "face_limit": ["INT", {"advanced": true, "default": -1, "min": -1, "max": 2000000}], "quad": ["BOOLEAN", {"advanced": true, "default": false}], "geometry_quality": ["COMBO", {"advanced": true, "default": "standard", "multiselect": false, "options": ["standard", "detailed"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["prompt"], "optional": ["negative_prompt", "model_version", "style", "texture", "pbr", "image_seed", "model_seed", "texture_seed", "texture_quality", "face_limit", "quad", "geometry_quality"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "MODEL_TASK_ID", "FILE_3D_GLB"], "output_is_list": [false, false, false], "output_name": ["model_file", "model task_id", "GLB"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "TripoTextToModelNode", "display_name": "Tripo: Text to Model", "description": "", "python_module": "comfy_api_nodes.nodes_tripo", "category": "api node/3d/Tripo", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model_version", "type": "COMBO"}, {"name": "style", "type": "COMBO"}, {"name": "texture", "type": "BOOLEAN"}, {"name": "pbr", "type": "BOOLEAN"}, {"name": "quad", "type": "BOOLEAN"}, {"name": "texture_quality", "type": "COMBO"}, {"name": "geometry_quality", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $isV14 := $contains(widgets.model_version,\"v1.4\");\n                  $style := widgets.style;\n                  $hasStyle := ($style != \"\" and $style != \"none\");\n                  $withTexture := widgets.texture or widgets.pbr;\n                  $isHdTexture := (widgets.texture_quality = \"detailed\");\n                  $isDetailedGeometry := (widgets.geometry_quality = \"detailed\");\n                  $baseCredits :=\n                    $isV14 ? 20 : ($withTexture ? 20 : 10);\n                  $credits :=\n                    $baseCredits\n                    + ($hasStyle ? 5 : 0)\n                    + (widgets.quad ? 5 : 0)\n                    + ($isHdTexture ? 10 : 0)\n                    + ($isDetailedGeometry ? 20 : 0);\n                  {\"type\":\"usd\",\"usd\": $round($credits * 0.01, 2)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TripoImageToModelNode": {"input": {"required": {"image": ["IMAGE", {}]}, "optional": {"model_version": ["COMBO", {"tooltip": "The model version to use for generation", "multiselect": false, "options": ["v3.0-20250812", "v2.5-20250123", "v2.0-20240919", "v1.4-20240625"]}], "style": ["COMBO", {"default": "None", "multiselect": false, "options": ["person:person2cartoon", "animal:venom", "object:clay", "object:steampunk", "object:christmas", "object:barbie", "gold", "ancient_bronze", "None"]}], "texture": ["BOOLEAN", {"default": true}], "pbr": ["BOOLEAN", {"default": true}], "model_seed": ["INT", {"advanced": true, "default": 42}], "orientation": ["COMBO", {"advanced": true, "default": "default", "multiselect": false, "options": ["align_image", "default"]}], "texture_seed": ["INT", {"advanced": true, "default": 42}], "texture_quality": ["COMBO", {"advanced": true, "default": "standard", "multiselect": false, "options": ["standard", "detailed"]}], "texture_alignment": ["COMBO", {"advanced": true, "default": "original_image", "multiselect": false, "options": ["original_image", "geometry"]}], "face_limit": ["INT", {"advanced": true, "default": -1, "min": -1, "max": 500000}], "quad": ["BOOLEAN", {"advanced": true, "default": false}], "geometry_quality": ["COMBO", {"advanced": true, "default": "standard", "multiselect": false, "options": ["standard", "detailed"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["image"], "optional": ["model_version", "style", "texture", "pbr", "model_seed", "orientation", "texture_seed", "texture_quality", "texture_alignment", "face_limit", "quad", "geometry_quality"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "MODEL_TASK_ID", "FILE_3D_GLB"], "output_is_list": [false, false, false], "output_name": ["model_file", "model task_id", "GLB"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "TripoImageToModelNode", "display_name": "Tripo: Image to Model", "description": "", "python_module": "comfy_api_nodes.nodes_tripo", "category": "api node/3d/Tripo", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model_version", "type": "COMBO"}, {"name": "style", "type": "COMBO"}, {"name": "texture", "type": "BOOLEAN"}, {"name": "pbr", "type": "BOOLEAN"}, {"name": "quad", "type": "BOOLEAN"}, {"name": "texture_quality", "type": "COMBO"}, {"name": "geometry_quality", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $isV14 := $contains(widgets.model_version,\"v1.4\");\n                  $style := widgets.style;\n                  $hasStyle := ($style != \"\" and $style != \"none\");\n                  $withTexture := widgets.texture or widgets.pbr;\n                  $isHdTexture := (widgets.texture_quality = \"detailed\");\n                  $isDetailedGeometry := (widgets.geometry_quality = \"detailed\");\n                  $baseCredits :=\n                    $isV14 ? 30 : ($withTexture ? 30 : 20);\n                  $credits :=\n                    $baseCredits\n                    + ($hasStyle ? 5 : 0)\n                    + (widgets.quad ? 5 : 0)\n                    + ($isHdTexture ? 10 : 0)\n                    + ($isDetailedGeometry ? 20 : 0);\n                  {\"type\":\"usd\",\"usd\": $round($credits * 0.01, 2)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TripoMultiviewToModelNode": {"input": {"required": {"image": ["IMAGE", {}]}, "optional": {"image_left": ["IMAGE", {}], "image_back": ["IMAGE", {}], "image_right": ["IMAGE", {}], "model_version": ["COMBO", {"tooltip": "The model version to use for generation", "multiselect": false, "options": ["v3.0-20250812", "v2.5-20250123", "v2.0-20240919", "v1.4-20240625"]}], "orientation": ["COMBO", {"advanced": true, "default": "default", "multiselect": false, "options": ["align_image", "default"]}], "texture": ["BOOLEAN", {"default": true}], "pbr": ["BOOLEAN", {"default": true}], "model_seed": ["INT", {"advanced": true, "default": 42}], "texture_seed": ["INT", {"advanced": true, "default": 42}], "texture_quality": ["COMBO", {"advanced": true, "default": "standard", "multiselect": false, "options": ["standard", "detailed"]}], "texture_alignment": ["COMBO", {"advanced": true, "default": "original_image", "multiselect": false, "options": ["original_image", "geometry"]}], "face_limit": ["INT", {"advanced": true, "default": -1, "min": -1, "max": 500000}], "quad": ["BOOLEAN", {"advanced": true, "default": false}], "geometry_quality": ["COMBO", {"advanced": true, "default": "standard", "multiselect": false, "options": ["standard", "detailed"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["image"], "optional": ["image_left", "image_back", "image_right", "model_version", "orientation", "texture", "pbr", "model_seed", "texture_seed", "texture_quality", "texture_alignment", "face_limit", "quad", "geometry_quality"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "MODEL_TASK_ID", "FILE_3D_GLB"], "output_is_list": [false, false, false], "output_name": ["model_file", "model task_id", "GLB"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "TripoMultiviewToModelNode", "display_name": "Tripo: Multiview to Model", "description": "", "python_module": "comfy_api_nodes.nodes_tripo", "category": "api node/3d/Tripo", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model_version", "type": "COMBO"}, {"name": "texture", "type": "BOOLEAN"}, {"name": "pbr", "type": "BOOLEAN"}, {"name": "quad", "type": "BOOLEAN"}, {"name": "texture_quality", "type": "COMBO"}, {"name": "geometry_quality", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $isV14 := $contains(widgets.model_version,\"v1.4\");\n                  $withTexture := widgets.texture or widgets.pbr;\n                  $isHdTexture := (widgets.texture_quality = \"detailed\");\n                  $isDetailedGeometry := (widgets.geometry_quality = \"detailed\");\n                  $baseCredits :=\n                    $isV14 ? 30 : ($withTexture ? 30 : 20);\n                  $credits :=\n                    $baseCredits\n                    + (widgets.quad ? 5 : 0)\n                    + ($isHdTexture ? 10 : 0)\n                    + ($isDetailedGeometry ? 20 : 0);\n                  {\"type\":\"usd\",\"usd\": $round($credits * 0.01, 2)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TripoTextureNode": {"input": {"required": {"model_task_id": ["MODEL_TASK_ID", {}]}, "optional": {"texture": ["BOOLEAN", {"default": true}], "pbr": ["BOOLEAN", {"default": true}], "texture_seed": ["INT", {"advanced": true, "default": 42}], "texture_quality": ["COMBO", {"advanced": true, "default": "standard", "multiselect": false, "options": ["standard", "detailed"]}], "texture_alignment": ["COMBO", {"advanced": true, "default": "original_image", "multiselect": false, "options": ["original_image", "geometry"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["model_task_id"], "optional": ["texture", "pbr", "texture_seed", "texture_quality", "texture_alignment"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "MODEL_TASK_ID", "FILE_3D_GLB"], "output_is_list": [false, false, false], "output_name": ["model_file", "model task_id", "GLB"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "TripoTextureNode", "display_name": "Tripo: Texture model", "description": "", "python_module": "comfy_api_nodes.nodes_tripo", "category": "api node/3d/Tripo", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "texture_quality", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $tq := widgets.texture_quality;\n                  {\"type\":\"usd\",\"usd\": ($contains($tq,\"detailed\") ? 0.2 : 0.1)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TripoRefineNode": {"input": {"required": {"model_task_id": ["MODEL_TASK_ID", {"tooltip": "Must be a v1.4 Tripo model"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["model_task_id"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "MODEL_TASK_ID", "FILE_3D_GLB"], "output_is_list": [false, false, false], "output_name": ["model_file", "model task_id", "GLB"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "TripoRefineNode", "display_name": "Tripo: Refine Draft model", "description": "Refine a draft model created by v1.4 Tripo models only.", "python_module": "comfy_api_nodes.nodes_tripo", "category": "api node/3d/Tripo", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.3}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TripoRigNode": {"input": {"required": {"original_model_task_id": ["MODEL_TASK_ID", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["original_model_task_id"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "RIG_TASK_ID", "FILE_3D_GLB"], "output_is_list": [false, false, false], "output_name": ["model_file", "rig task_id", "GLB"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "TripoRigNode", "display_name": "Tripo: Rig model", "description": "", "python_module": "comfy_api_nodes.nodes_tripo", "category": "api node/3d/Tripo", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.25}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TripoRetargetNode": {"input": {"required": {"original_model_task_id": ["RIG_TASK_ID", {}], "animation": ["COMBO", {"multiselect": false, "options": ["preset:idle", "preset:walk", "preset:run", "preset:dive", "preset:climb", "preset:jump", "preset:slash", "preset:shoot", "preset:hurt", "preset:fall", "preset:turn", "preset:quadruped:walk", "preset:hexapod:walk", "preset:octopod:walk", "preset:serpentine:march", "preset:aquatic:march"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["original_model_task_id", "animation"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING", "RETARGET_TASK_ID", "FILE_3D_GLB"], "output_is_list": [false, false, false], "output_name": ["model_file", "retarget task_id", "GLB"], "output_tooltips": [null, null, null], "output_matchtypes": null, "name": "TripoRetargetNode", "display_name": "Tripo: Retarget rigged model", "description": "", "python_module": "comfy_api_nodes.nodes_tripo", "category": "api node/3d/Tripo", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.1}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "TripoConversionNode": {"input": {"required": {"original_model_task_id": ["MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID", {}], "format": ["COMBO", {"multiselect": false, "options": ["GLTF", "USDZ", "FBX", "OBJ", "STL", "3MF"]}]}, "optional": {"quad": ["BOOLEAN", {"advanced": true, "default": false}], "face_limit": ["INT", {"advanced": true, "default": -1, "min": -1, "max": 2000000}], "texture_size": ["INT", {"advanced": true, "default": 4096, "min": 128, "max": 4096}], "texture_format": ["COMBO", {"advanced": true, "default": "JPEG", "multiselect": false, "options": ["BMP", "DPX", "HDR", "JPEG", "OPEN_EXR", "PNG", "TARGA", "TIFF", "WEBP"]}], "force_symmetry": ["BOOLEAN", {"advanced": true, "default": false}], "flatten_bottom": ["BOOLEAN", {"advanced": true, "default": false}], "flatten_bottom_threshold": ["FLOAT", {"advanced": true, "default": 0.0, "min": 0.0, "max": 1.0}], "pivot_to_center_bottom": ["BOOLEAN", {"advanced": true, "default": false}], "scale_factor": ["FLOAT", {"advanced": true, "default": 1.0, "min": 0.0}], "with_animation": ["BOOLEAN", {"advanced": true, "default": false}], "pack_uv": ["BOOLEAN", {"advanced": true, "default": false}], "bake": ["BOOLEAN", {"advanced": true, "default": false}], "part_names": ["STRING", {"advanced": true, "default": "", "multiline": false}], "fbx_preset": ["COMBO", {"advanced": true, "default": "blender", "multiselect": false, "options": ["blender", "mixamo", "3dsmax"]}], "export_vertex_colors": ["BOOLEAN", {"advanced": true, "default": false}], "export_orientation": ["COMBO", {"advanced": true, "default": "default", "multiselect": false, "options": ["align_image", "default"]}], "animate_in_place": ["BOOLEAN", {"advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"], "prompt": ["PROMPT"], "extra_pnginfo": ["EXTRA_PNGINFO"]}}, "input_order": {"required": ["original_model_task_id", "format"], "optional": ["quad", "face_limit", "texture_size", "texture_format", "force_symmetry", "flatten_bottom", "flatten_bottom_threshold", "pivot_to_center_bottom", "scale_factor", "with_animation", "pack_uv", "bake", "part_names", "fbx_preset", "export_vertex_colors", "export_orientation", "animate_in_place"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": [], "output_is_list": [], "output_name": [], "output_tooltips": [], "output_matchtypes": null, "name": "TripoConversionNode", "display_name": "Tripo: Convert model", "description": "", "python_module": "comfy_api_nodes.nodes_tripo", "category": "api node/3d/Tripo", "output_node": true, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "quad", "type": "BOOLEAN"}, {"name": "face_limit", "type": "INT"}, {"name": "texture_size", "type": "INT"}, {"name": "texture_format", "type": "COMBO"}, {"name": "force_symmetry", "type": "BOOLEAN"}, {"name": "flatten_bottom", "type": "BOOLEAN"}, {"name": "flatten_bottom_threshold", "type": "FLOAT"}, {"name": "pivot_to_center_bottom", "type": "BOOLEAN"}, {"name": "scale_factor", "type": "FLOAT"}, {"name": "with_animation", "type": "BOOLEAN"}, {"name": "pack_uv", "type": "BOOLEAN"}, {"name": "bake", "type": "BOOLEAN"}, {"name": "part_names", "type": "STRING"}, {"name": "fbx_preset", "type": "COMBO"}, {"name": "export_vertex_colors", "type": "BOOLEAN"}, {"name": "export_orientation", "type": "COMBO"}, {"name": "animate_in_place", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                    $face := (widgets.face_limit != null) ? widgets.face_limit : -1;\n                    $texSize := (widgets.texture_size != null) ? widgets.texture_size : 4096;\n                    $flatThresh := (widgets.flatten_bottom_threshold != null) ? widgets.flatten_bottom_threshold : 0;\n                    $scale := (widgets.scale_factor != null) ? widgets.scale_factor : 1;\n                    $texFmt := (widgets.texture_format != \"\" ? widgets.texture_format : \"jpeg\");\n                    $part := widgets.part_names;\n                    $fbx := (widgets.fbx_preset != \"\" ? widgets.fbx_preset : \"blender\");\n                    $orient := (widgets.export_orientation != \"\" ? widgets.export_orientation : \"default\");\n                    $advanced :=\n                      widgets.quad or\n                      widgets.force_symmetry or\n                      widgets.flatten_bottom or\n                      widgets.pivot_to_center_bottom or\n                      widgets.with_animation or\n                      widgets.pack_uv or\n                      widgets.bake or\n                      widgets.export_vertex_colors or\n                      widgets.animate_in_place or\n                      ($face != -1) or\n                      ($texSize != 4096) or\n                      ($flatThresh != 0) or\n                      ($scale != 1) or\n                      ($texFmt != \"jpeg\") or\n                      ($part != \"\") or\n                      ($fbx != \"blender\") or\n                      ($orient != \"default\");\n                    {\"type\":\"usd\",\"usd\": ($advanced ? 0.1 : 0.05)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "VeoVideoGenerationNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text description of the video", "default": "", "multiline": true}], "aspect_ratio": ["COMBO", {"tooltip": "Aspect ratio of the output video", "default": "16:9", "multiselect": false, "options": ["16:9", "9:16"]}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "Negative text prompt to guide what to avoid in the video", "default": "", "multiline": true}], "duration_seconds": ["INT", {"tooltip": "Duration of the output video in seconds", "default": 5, "min": 5, "max": 8, "step": 1, "display": "number"}], "enhance_prompt": ["BOOLEAN", {"tooltip": "Whether to enhance the prompt with AI assistance", "advanced": true, "default": true}], "person_generation": ["COMBO", {"tooltip": "Whether to allow generating people in the video", "advanced": true, "default": "ALLOW", "multiselect": false, "options": ["ALLOW", "BLOCK"]}], "seed": ["INT", {"tooltip": "Seed for video generation (0 for random)", "default": 0, "min": 0, "max": 4294967295, "step": 1, "control_after_generate": true, "display": "number"}], "image": ["IMAGE", {"tooltip": "Optional reference image to guide video generation"}], "model": ["COMBO", {"tooltip": "Veo 2 model to use for video generation", "default": "veo-2.0-generate-001", "multiselect": false, "options": ["veo-2.0-generate-001"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "aspect_ratio"], "optional": ["negative_prompt", "duration_seconds", "enhance_prompt", "person_generation", "seed", "image", "model"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "VeoVideoGenerationNode", "display_name": "Google Veo 2 Video Generation", "description": "Generates videos from text prompts using Google's Veo 2 API", "python_module": "comfy_api_nodes.nodes_veo2", "category": "api node/video/Veo", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration_seconds", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\": 0.5 * widgets.duration_seconds}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Veo3VideoGenerationNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text description of the video", "default": "", "multiline": true}], "aspect_ratio": ["COMBO", {"tooltip": "Aspect ratio of the output video", "default": "16:9", "multiselect": false, "options": ["16:9", "9:16"]}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "Negative text prompt to guide what to avoid in the video", "default": "", "multiline": true}], "duration_seconds": ["INT", {"tooltip": "Duration of the output video in seconds (Veo 3 only supports 8 seconds)", "default": 8, "min": 8, "max": 8, "step": 1, "display": "number"}], "enhance_prompt": ["BOOLEAN", {"tooltip": "This parameter is deprecated and ignored.", "advanced": true, "default": true}], "person_generation": ["COMBO", {"tooltip": "Whether to allow generating people in the video", "advanced": true, "default": "ALLOW", "multiselect": false, "options": ["ALLOW", "BLOCK"]}], "seed": ["INT", {"tooltip": "Seed for video generation (0 for random)", "default": 0, "min": 0, "max": 4294967295, "step": 1, "control_after_generate": true, "display": "number"}], "image": ["IMAGE", {"tooltip": "Optional reference image to guide video generation"}], "model": ["COMBO", {"tooltip": "Veo 3 model to use for video generation", "default": "veo-3.0-generate-001", "multiselect": false, "options": ["veo-3.1-generate", "veo-3.1-fast-generate", "veo-3.0-generate-001", "veo-3.0-fast-generate-001"]}], "generate_audio": ["BOOLEAN", {"tooltip": "Generate audio for the video. Supported by all Veo 3 models.", "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "aspect_ratio"], "optional": ["negative_prompt", "duration_seconds", "enhance_prompt", "person_generation", "seed", "image", "model", "generate_audio"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "Veo3VideoGenerationNode", "display_name": "Google Veo 3 Video Generation", "description": "Generates videos from text prompts using Google's Veo 3 API", "python_module": "comfy_api_nodes.nodes_veo2", "category": "api node/video/Veo", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.model;\n                  $a := widgets.generate_audio;\n                  ($contains($m,\"veo-3.0-fast-generate-001\") or $contains($m,\"veo-3.1-fast-generate\"))\n                    ? {\"type\":\"usd\",\"usd\": ($a ? 1.2 : 0.8)}\n                    : ($contains($m,\"veo-3.0-generate-001\") or $contains($m,\"veo-3.1-generate\"))\n                      ? {\"type\":\"usd\",\"usd\": ($a ? 3.2 : 1.6)}\n                      : {\"type\":\"range_usd\",\"min_usd\":0.8,\"max_usd\":3.2}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Veo3FirstLastFrameNode": {"input": {"required": {"prompt": ["STRING", {"tooltip": "Text description of the video", "default": "", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative text prompt to guide what to avoid in the video", "default": "", "multiline": true}], "resolution": ["COMBO", {"multiselect": false, "options": ["720p", "1080p"]}], "aspect_ratio": ["COMBO", {"tooltip": "Aspect ratio of the output video", "default": "16:9", "multiselect": false, "options": ["16:9", "9:16"]}], "duration": ["INT", {"tooltip": "Duration of the output video in seconds", "default": 8, "min": 4, "max": 8, "step": 2, "display": "slider"}], "seed": ["INT", {"tooltip": "Seed for video generation", "default": 0, "min": 0, "max": 4294967295, "step": 1, "control_after_generate": true, "display": "number"}], "first_frame": ["IMAGE", {"tooltip": "Start frame"}], "last_frame": ["IMAGE", {"tooltip": "End frame"}], "model": ["COMBO", {"default": "veo-3.1-fast-generate", "multiselect": false, "options": ["veo-3.1-generate", "veo-3.1-fast-generate"]}], "generate_audio": ["BOOLEAN", {"tooltip": "Generate audio for the video.", "default": true}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["prompt", "negative_prompt", "resolution", "aspect_ratio", "duration", "seed", "first_frame", "last_frame", "model", "generate_audio"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "Veo3FirstLastFrameNode", "display_name": "Google Veo 3 First-Last-Frame to Video", "description": "Generate video using prompt and first and last frames.", "python_module": "comfy_api_nodes.nodes_veo2", "category": "api node/video/Veo", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "generate_audio", "type": "BOOLEAN"}, {"name": "duration", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $prices := {\n                    \"veo-3.1-fast-generate\": { \"audio\": 0.15, \"no_audio\": 0.10 },\n                    \"veo-3.1-generate\":      { \"audio\": 0.40, \"no_audio\": 0.20 }\n                  };\n                  $m := widgets.model;\n                  $ga := (widgets.generate_audio = \"true\");\n                  $seconds := widgets.duration;\n                  $modelKey :=\n                    $contains($m, \"veo-3.1-fast-generate\") ? \"veo-3.1-fast-generate\" :\n                    $contains($m, \"veo-3.1-generate\")      ? \"veo-3.1-generate\" :\n                    \"\";\n                  $audioKey := $ga ? \"audio\" : \"no_audio\";\n                  $modelPrices := $lookup($prices, $modelKey);\n                  $pps := $lookup($modelPrices, $audioKey);\n                  ($pps != null)\n                    ? {\"type\":\"usd\",\"usd\": $pps * $seconds}\n                    : {\"type\":\"range_usd\",\"min_usd\": 0.4, \"max_usd\": 3.2}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ViduTextToVideoNode": {"input": {"required": {"model": ["COMBO", {"tooltip": "Model name", "multiselect": false, "options": ["viduq1"]}], "prompt": ["STRING", {"tooltip": "A textual description for video generation", "multiline": true}]}, "optional": {"duration": ["INT", {"tooltip": "Duration of the output video in seconds", "default": 5, "min": 5, "max": 5, "step": 1, "display": "number"}], "seed": ["INT", {"tooltip": "Seed for video generation (0 for random)", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio of the output video", "multiselect": false, "options": ["16:9", "9:16", "1:1"]}], "resolution": ["COMBO", {"tooltip": "Supported values may vary by model & duration", "advanced": true, "multiselect": false, "options": ["1080p"]}], "movement_amplitude": ["COMBO", {"tooltip": "The movement amplitude of objects in the frame", "advanced": true, "multiselect": false, "options": ["auto", "small", "medium", "large"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt"], "optional": ["duration", "seed", "aspect_ratio", "resolution", "movement_amplitude"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ViduTextToVideoNode", "display_name": "Vidu Text To Video Generation", "description": "Generate video from a text prompt", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.4}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ViduImageToVideoNode": {"input": {"required": {"model": ["COMBO", {"tooltip": "Model name", "multiselect": false, "options": ["viduq1"]}], "image": ["IMAGE", {"tooltip": "An image to be used as the start frame of the generated video"}]}, "optional": {"prompt": ["STRING", {"tooltip": "A textual description for video generation", "default": "", "multiline": true}], "duration": ["INT", {"tooltip": "Duration of the output video in seconds", "default": 5, "min": 5, "max": 5, "step": 1, "display": "number"}], "seed": ["INT", {"tooltip": "Seed for video generation (0 for random)", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "resolution": ["COMBO", {"tooltip": "Supported values may vary by model & duration", "advanced": true, "multiselect": false, "options": ["1080p"]}], "movement_amplitude": ["COMBO", {"tooltip": "The movement amplitude of objects in the frame", "advanced": true, "multiselect": false, "options": ["auto", "small", "medium", "large"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "image"], "optional": ["prompt", "duration", "seed", "resolution", "movement_amplitude"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ViduImageToVideoNode", "display_name": "Vidu Image To Video Generation", "description": "Generate video from image and optional prompt", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.4}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ViduReferenceVideoNode": {"input": {"required": {"model": ["COMBO", {"tooltip": "Model name", "multiselect": false, "options": ["viduq1"]}], "images": ["IMAGE", {"tooltip": "Images to use as references to generate a video with consistent subjects (max 7 images)."}], "prompt": ["STRING", {"tooltip": "A textual description for video generation", "multiline": true}]}, "optional": {"duration": ["INT", {"tooltip": "Duration of the output video in seconds", "default": 5, "min": 5, "max": 5, "step": 1, "display": "number"}], "seed": ["INT", {"tooltip": "Seed for video generation (0 for random)", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio of the output video", "multiselect": false, "options": ["16:9", "9:16", "1:1"]}], "resolution": ["COMBO", {"tooltip": "Supported values may vary by model & duration", "advanced": true, "multiselect": false, "options": ["1080p"]}], "movement_amplitude": ["COMBO", {"tooltip": "The movement amplitude of objects in the frame", "advanced": true, "multiselect": false, "options": ["auto", "small", "medium", "large"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "images", "prompt"], "optional": ["duration", "seed", "aspect_ratio", "resolution", "movement_amplitude"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ViduReferenceVideoNode", "display_name": "Vidu Reference To Video Generation", "description": "Generate video from multiple images and a prompt", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.4}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ViduStartEndToVideoNode": {"input": {"required": {"model": ["COMBO", {"tooltip": "Model name", "multiselect": false, "options": ["viduq1"]}], "first_frame": ["IMAGE", {"tooltip": "Start frame"}], "end_frame": ["IMAGE", {"tooltip": "End frame"}]}, "optional": {"prompt": ["STRING", {"tooltip": "A textual description for video generation", "multiline": true}], "duration": ["INT", {"tooltip": "Duration of the output video in seconds", "default": 5, "min": 5, "max": 5, "step": 1, "display": "number"}], "seed": ["INT", {"tooltip": "Seed for video generation (0 for random)", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "resolution": ["COMBO", {"tooltip": "Supported values may vary by model & duration", "advanced": true, "multiselect": false, "options": ["1080p"]}], "movement_amplitude": ["COMBO", {"tooltip": "The movement amplitude of objects in the frame", "advanced": true, "multiselect": false, "options": ["auto", "small", "medium", "large"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "first_frame", "end_frame"], "optional": ["prompt", "duration", "seed", "resolution", "movement_amplitude"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ViduStartEndToVideoNode", "display_name": "Vidu Start End To Video Generation", "description": "Generate a video from start and end frames and a prompt", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.4}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Vidu2TextToVideoNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["viduq2"]}], "prompt": ["STRING", {"tooltip": "A textual description for video generation, with a maximum length of 2000 characters.", "multiline": true}], "duration": ["INT", {"default": 5, "min": 1, "max": 10, "step": 1, "display": "slider"}], "seed": ["INT", {"default": 1, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "aspect_ratio": ["COMBO", {"multiselect": false, "options": ["16:9", "9:16", "3:4", "4:3", "1:1"]}], "resolution": ["COMBO", {"advanced": true, "multiselect": false, "options": ["720p", "1080p"]}], "background_music": ["BOOLEAN", {"tooltip": "Whether to add background music to the generated video.", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "duration", "seed", "aspect_ratio", "resolution", "background_music"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "Vidu2TextToVideoNode", "display_name": "Vidu2 Text-to-Video Generation", "description": "Generate video from a text prompt", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $is1080 := widgets.resolution = \"1080p\";\n                  $base := $is1080 ? 0.1 : 0.075;\n                  $perSec := $is1080 ? 0.05 : 0.025;\n                  {\"type\":\"usd\",\"usd\": $base + $perSec * (widgets.duration - 1)}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Vidu2ImageToVideoNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["viduq2-pro-fast", "viduq2-pro", "viduq2-turbo"]}], "image": ["IMAGE", {"tooltip": "An image to be used as the start frame of the generated video."}], "prompt": ["STRING", {"tooltip": "An optional text prompt for video generation (max 2000 characters).", "default": "", "multiline": true}], "duration": ["INT", {"default": 5, "min": 1, "max": 10, "step": 1, "display": "slider"}], "seed": ["INT", {"default": 1, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "resolution": ["COMBO", {"advanced": true, "multiselect": false, "options": ["720p", "1080p"]}], "movement_amplitude": ["COMBO", {"tooltip": "The movement amplitude of objects in the frame.", "advanced": true, "multiselect": false, "options": ["auto", "small", "medium", "large"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "image", "prompt", "duration", "seed", "resolution", "movement_amplitude"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "Vidu2ImageToVideoNode", "display_name": "Vidu2 Image-to-Video Generation", "description": "Generate a video from an image and an optional prompt.", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.model;\n                  $d := widgets.duration;\n                  $is1080 := widgets.resolution = \"1080p\";\n                  $contains($m, \"pro-fast\")\n                    ? (\n                        $base := $is1080 ? 0.08 : 0.04;\n                        $perSec := $is1080 ? 0.02 : 0.01;\n                        {\"type\":\"usd\",\"usd\": $base + $perSec * ($d - 1)}\n                      )\n                    : $contains($m, \"pro\")\n                      ? (\n                          $base := $is1080 ? 0.275 : 0.075;\n                          $perSec := $is1080 ? 0.075 : 0.05;\n                          {\"type\":\"usd\",\"usd\": $base + $perSec * ($d - 1)}\n                        )\n                      : $contains($m, \"turbo\")\n                        ? (\n                            $is1080\n                              ? {\"type\":\"usd\",\"usd\": 0.175 + 0.05 * ($d - 1)}\n                              : (\n                                  $d <= 1 ? {\"type\":\"usd\",\"usd\": 0.04}\n                                  : $d <= 2 ? {\"type\":\"usd\",\"usd\": 0.05}\n                                  : {\"type\":\"usd\",\"usd\": 0.05 + 0.05 * ($d - 2)}\n                                )\n                          )\n                        : {\"type\":\"usd\",\"usd\": 0.04}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Vidu2ReferenceVideoNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["viduq2"]}], "subjects": ["COMFY_AUTOGROW_V3", {"tooltip": "For each subject, provide up to 3 reference images (7 images total across all subjects). Reference them in prompts via @subject{subject_id}.", "template": {"input": {"required": {"reference_images": ["IMAGE", {}]}}, "names": ["subject1", "subject2", "subject3", "subject4", "subject5", "subject6", "subject7"], "min": 1}}], "prompt": ["STRING", {"tooltip": "When enabled, the video will include generated speech and background music based on the prompt.", "multiline": true}], "audio": ["BOOLEAN", {"tooltip": "When enabled video will contain generated speech and background music based on the prompt.", "advanced": true, "default": false}], "duration": ["INT", {"default": 5, "min": 1, "max": 10, "step": 1, "display": "slider"}], "seed": ["INT", {"default": 1, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "aspect_ratio": ["COMBO", {"multiselect": false, "options": ["16:9", "9:16", "4:3", "3:4", "1:1"]}], "resolution": ["COMBO", {"advanced": true, "multiselect": false, "options": ["720p", "1080p"]}], "movement_amplitude": ["COMBO", {"tooltip": "The movement amplitude of objects in the frame.", "advanced": true, "multiselect": false, "options": ["auto", "small", "medium", "large"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "subjects", "prompt", "audio", "duration", "seed", "aspect_ratio", "resolution", "movement_amplitude"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "Vidu2ReferenceVideoNode", "display_name": "Vidu2 Reference-to-Video Generation", "description": "Generate a video from multiple reference images and a prompt.", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "audio", "type": "BOOLEAN"}, {"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $is1080 := widgets.resolution = \"1080p\";\n                  $base := $is1080 ? 0.375 : 0.125;\n                  $perSec := $is1080 ? 0.05 : 0.025;\n                  $audioCost := widgets.audio = true ? 0.075 : 0;\n                  {\"type\":\"usd\",\"usd\": $base + $perSec * (widgets.duration - 1) + $audioCost}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Vidu2StartEndToVideoNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["viduq2-pro-fast", "viduq2-pro", "viduq2-turbo"]}], "first_frame": ["IMAGE", {}], "end_frame": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "Prompt description (max 2000 characters).", "multiline": true}], "duration": ["INT", {"default": 5, "min": 2, "max": 8, "step": 1, "display": "slider"}], "seed": ["INT", {"default": 1, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "resolution": ["COMBO", {"advanced": true, "multiselect": false, "options": ["720p", "1080p"]}], "movement_amplitude": ["COMBO", {"tooltip": "The movement amplitude of objects in the frame.", "advanced": true, "multiselect": false, "options": ["auto", "small", "medium", "large"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "first_frame", "end_frame", "prompt", "duration", "seed", "resolution", "movement_amplitude"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "Vidu2StartEndToVideoNode", "display_name": "Vidu2 Start/End Frame-to-Video Generation", "description": "Generate a video from a start frame, an end frame, and a prompt.", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.model;\n                  $d := widgets.duration;\n                  $is1080 := widgets.resolution = \"1080p\";\n                  $contains($m, \"pro-fast\")\n                    ? (\n                        $base := $is1080 ? 0.08 : 0.04;\n                        $perSec := $is1080 ? 0.02 : 0.01;\n                        {\"type\":\"usd\",\"usd\": $base + $perSec * ($d - 1)}\n                      )\n                    : $contains($m, \"pro\")\n                      ? (\n                          $base := $is1080 ? 0.275 : 0.075;\n                          $perSec := $is1080 ? 0.075 : 0.05;\n                          {\"type\":\"usd\",\"usd\": $base + $perSec * ($d - 1)}\n                        )\n                      : $contains($m, \"turbo\")\n                        ? (\n                            $is1080\n                              ? {\"type\":\"usd\",\"usd\": 0.175 + 0.05 * ($d - 1)}\n                              : (\n                                  $d <= 2 ? {\"type\":\"usd\",\"usd\": 0.05}\n                                  : {\"type\":\"usd\",\"usd\": 0.05 + 0.05 * ($d - 2)}\n                                )\n                          )\n                        : {\"type\":\"usd\",\"usd\": 0.04}\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ViduExtendVideoNode": {"input": {"required": {"model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model to use for video extension.", "options": [{"key": "viduq2-pro", "inputs": {"required": {"duration": ["INT", {"tooltip": "Duration of the extended video in seconds.", "default": 4, "min": 1, "max": 7, "step": 1, "display": "slider"}], "resolution": ["COMBO", {"tooltip": "Resolution of the output video.", "multiselect": false, "options": ["720p", "1080p"]}]}}}, {"key": "viduq2-turbo", "inputs": {"required": {"duration": ["INT", {"tooltip": "Duration of the extended video in seconds.", "default": 4, "min": 1, "max": 7, "step": 1, "display": "slider"}], "resolution": ["COMBO", {"tooltip": "Resolution of the output video.", "multiselect": false, "options": ["720p", "1080p"]}]}}}]}], "video": ["VIDEO", {"tooltip": "The source video to extend."}], "prompt": ["STRING", {"tooltip": "An optional text prompt for the extended video (max 2000 characters).", "default": "", "multiline": true}], "seed": ["INT", {"default": 1, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}]}, "optional": {"end_frame": ["IMAGE", {}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "video", "prompt", "seed"], "optional": ["end_frame"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ViduExtendVideoNode", "display_name": "Vidu Video Extension", "description": "Extend an existing video by generating additional frames.", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "model.duration", "type": "INT"}, {"name": "model.resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.model;\n                  $d := $lookup(widgets, \"model.duration\");\n                  $res := $lookup(widgets, \"model.resolution\");\n                  $contains($m, \"pro\")\n                    ? (\n                        $base := $lookup({\"720p\": 0.15, \"1080p\": 0.3}, $res);\n                        $perSec := $lookup({\"720p\": 0.05, \"1080p\": 0.075}, $res);\n                        {\"type\":\"usd\",\"usd\": $base + $perSec * ($d - 1)}\n                      )\n                    : (\n                        $base := $lookup({\"720p\": 0.075, \"1080p\": 0.2}, $res);\n                        $perSec := $lookup({\"720p\": 0.025, \"1080p\": 0.05}, $res);\n                        {\"type\":\"usd\",\"usd\": $base + $perSec * ($d - 1)}\n                      )\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "ViduMultiFrameVideoNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["viduq2-pro", "viduq2-turbo"]}], "start_image": ["IMAGE", {"tooltip": "The starting frame image. Aspect ratio must be between 1:4 and 4:1."}], "seed": ["INT", {"default": 1, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "resolution": ["COMBO", {"multiselect": false, "options": ["720p", "1080p"]}], "frames": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Number of keyframe transitions (2-9).", "options": [{"key": "2", "inputs": {"required": {"prompt1": ["STRING", {"tooltip": "Text prompt for frame 1 transition.", "default": "", "multiline": true}], "end_image1": ["IMAGE", {"tooltip": "End frame image for segment 1. Aspect ratio must be between 1:4 and 4:1."}], "duration1": ["INT", {"tooltip": "Duration for segment 1 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt2": ["STRING", {"tooltip": "Text prompt for frame 2 transition.", "default": "", "multiline": true}], "end_image2": ["IMAGE", {"tooltip": "End frame image for segment 2. Aspect ratio must be between 1:4 and 4:1."}], "duration2": ["INT", {"tooltip": "Duration for segment 2 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}]}}}, {"key": "3", "inputs": {"required": {"prompt1": ["STRING", {"tooltip": "Text prompt for frame 1 transition.", "default": "", "multiline": true}], "end_image1": ["IMAGE", {"tooltip": "End frame image for segment 1. Aspect ratio must be between 1:4 and 4:1."}], "duration1": ["INT", {"tooltip": "Duration for segment 1 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt2": ["STRING", {"tooltip": "Text prompt for frame 2 transition.", "default": "", "multiline": true}], "end_image2": ["IMAGE", {"tooltip": "End frame image for segment 2. Aspect ratio must be between 1:4 and 4:1."}], "duration2": ["INT", {"tooltip": "Duration for segment 2 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt3": ["STRING", {"tooltip": "Text prompt for frame 3 transition.", "default": "", "multiline": true}], "end_image3": ["IMAGE", {"tooltip": "End frame image for segment 3. Aspect ratio must be between 1:4 and 4:1."}], "duration3": ["INT", {"tooltip": "Duration for segment 3 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}]}}}, {"key": "4", "inputs": {"required": {"prompt1": ["STRING", {"tooltip": "Text prompt for frame 1 transition.", "default": "", "multiline": true}], "end_image1": ["IMAGE", {"tooltip": "End frame image for segment 1. Aspect ratio must be between 1:4 and 4:1."}], "duration1": ["INT", {"tooltip": "Duration for segment 1 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt2": ["STRING", {"tooltip": "Text prompt for frame 2 transition.", "default": "", "multiline": true}], "end_image2": ["IMAGE", {"tooltip": "End frame image for segment 2. Aspect ratio must be between 1:4 and 4:1."}], "duration2": ["INT", {"tooltip": "Duration for segment 2 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt3": ["STRING", {"tooltip": "Text prompt for frame 3 transition.", "default": "", "multiline": true}], "end_image3": ["IMAGE", {"tooltip": "End frame image for segment 3. Aspect ratio must be between 1:4 and 4:1."}], "duration3": ["INT", {"tooltip": "Duration for segment 3 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt4": ["STRING", {"tooltip": "Text prompt for frame 4 transition.", "default": "", "multiline": true}], "end_image4": ["IMAGE", {"tooltip": "End frame image for segment 4. Aspect ratio must be between 1:4 and 4:1."}], "duration4": ["INT", {"tooltip": "Duration for segment 4 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}]}}}, {"key": "5", "inputs": {"required": {"prompt1": ["STRING", {"tooltip": "Text prompt for frame 1 transition.", "default": "", "multiline": true}], "end_image1": ["IMAGE", {"tooltip": "End frame image for segment 1. Aspect ratio must be between 1:4 and 4:1."}], "duration1": ["INT", {"tooltip": "Duration for segment 1 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt2": ["STRING", {"tooltip": "Text prompt for frame 2 transition.", "default": "", "multiline": true}], "end_image2": ["IMAGE", {"tooltip": "End frame image for segment 2. Aspect ratio must be between 1:4 and 4:1."}], "duration2": ["INT", {"tooltip": "Duration for segment 2 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt3": ["STRING", {"tooltip": "Text prompt for frame 3 transition.", "default": "", "multiline": true}], "end_image3": ["IMAGE", {"tooltip": "End frame image for segment 3. Aspect ratio must be between 1:4 and 4:1."}], "duration3": ["INT", {"tooltip": "Duration for segment 3 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt4": ["STRING", {"tooltip": "Text prompt for frame 4 transition.", "default": "", "multiline": true}], "end_image4": ["IMAGE", {"tooltip": "End frame image for segment 4. Aspect ratio must be between 1:4 and 4:1."}], "duration4": ["INT", {"tooltip": "Duration for segment 4 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt5": ["STRING", {"tooltip": "Text prompt for frame 5 transition.", "default": "", "multiline": true}], "end_image5": ["IMAGE", {"tooltip": "End frame image for segment 5. Aspect ratio must be between 1:4 and 4:1."}], "duration5": ["INT", {"tooltip": "Duration for segment 5 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}]}}}, {"key": "6", "inputs": {"required": {"prompt1": ["STRING", {"tooltip": "Text prompt for frame 1 transition.", "default": "", "multiline": true}], "end_image1": ["IMAGE", {"tooltip": "End frame image for segment 1. Aspect ratio must be between 1:4 and 4:1."}], "duration1": ["INT", {"tooltip": "Duration for segment 1 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt2": ["STRING", {"tooltip": "Text prompt for frame 2 transition.", "default": "", "multiline": true}], "end_image2": ["IMAGE", {"tooltip": "End frame image for segment 2. Aspect ratio must be between 1:4 and 4:1."}], "duration2": ["INT", {"tooltip": "Duration for segment 2 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt3": ["STRING", {"tooltip": "Text prompt for frame 3 transition.", "default": "", "multiline": true}], "end_image3": ["IMAGE", {"tooltip": "End frame image for segment 3. Aspect ratio must be between 1:4 and 4:1."}], "duration3": ["INT", {"tooltip": "Duration for segment 3 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt4": ["STRING", {"tooltip": "Text prompt for frame 4 transition.", "default": "", "multiline": true}], "end_image4": ["IMAGE", {"tooltip": "End frame image for segment 4. Aspect ratio must be between 1:4 and 4:1."}], "duration4": ["INT", {"tooltip": "Duration for segment 4 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt5": ["STRING", {"tooltip": "Text prompt for frame 5 transition.", "default": "", "multiline": true}], "end_image5": ["IMAGE", {"tooltip": "End frame image for segment 5. Aspect ratio must be between 1:4 and 4:1."}], "duration5": ["INT", {"tooltip": "Duration for segment 5 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt6": ["STRING", {"tooltip": "Text prompt for frame 6 transition.", "default": "", "multiline": true}], "end_image6": ["IMAGE", {"tooltip": "End frame image for segment 6. Aspect ratio must be between 1:4 and 4:1."}], "duration6": ["INT", {"tooltip": "Duration for segment 6 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}]}}}, {"key": "7", "inputs": {"required": {"prompt1": ["STRING", {"tooltip": "Text prompt for frame 1 transition.", "default": "", "multiline": true}], "end_image1": ["IMAGE", {"tooltip": "End frame image for segment 1. Aspect ratio must be between 1:4 and 4:1."}], "duration1": ["INT", {"tooltip": "Duration for segment 1 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt2": ["STRING", {"tooltip": "Text prompt for frame 2 transition.", "default": "", "multiline": true}], "end_image2": ["IMAGE", {"tooltip": "End frame image for segment 2. Aspect ratio must be between 1:4 and 4:1."}], "duration2": ["INT", {"tooltip": "Duration for segment 2 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt3": ["STRING", {"tooltip": "Text prompt for frame 3 transition.", "default": "", "multiline": true}], "end_image3": ["IMAGE", {"tooltip": "End frame image for segment 3. Aspect ratio must be between 1:4 and 4:1."}], "duration3": ["INT", {"tooltip": "Duration for segment 3 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt4": ["STRING", {"tooltip": "Text prompt for frame 4 transition.", "default": "", "multiline": true}], "end_image4": ["IMAGE", {"tooltip": "End frame image for segment 4. Aspect ratio must be between 1:4 and 4:1."}], "duration4": ["INT", {"tooltip": "Duration for segment 4 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt5": ["STRING", {"tooltip": "Text prompt for frame 5 transition.", "default": "", "multiline": true}], "end_image5": ["IMAGE", {"tooltip": "End frame image for segment 5. Aspect ratio must be between 1:4 and 4:1."}], "duration5": ["INT", {"tooltip": "Duration for segment 5 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt6": ["STRING", {"tooltip": "Text prompt for frame 6 transition.", "default": "", "multiline": true}], "end_image6": ["IMAGE", {"tooltip": "End frame image for segment 6. Aspect ratio must be between 1:4 and 4:1."}], "duration6": ["INT", {"tooltip": "Duration for segment 6 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt7": ["STRING", {"tooltip": "Text prompt for frame 7 transition.", "default": "", "multiline": true}], "end_image7": ["IMAGE", {"tooltip": "End frame image for segment 7. Aspect ratio must be between 1:4 and 4:1."}], "duration7": ["INT", {"tooltip": "Duration for segment 7 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}]}}}, {"key": "8", "inputs": {"required": {"prompt1": ["STRING", {"tooltip": "Text prompt for frame 1 transition.", "default": "", "multiline": true}], "end_image1": ["IMAGE", {"tooltip": "End frame image for segment 1. Aspect ratio must be between 1:4 and 4:1."}], "duration1": ["INT", {"tooltip": "Duration for segment 1 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt2": ["STRING", {"tooltip": "Text prompt for frame 2 transition.", "default": "", "multiline": true}], "end_image2": ["IMAGE", {"tooltip": "End frame image for segment 2. Aspect ratio must be between 1:4 and 4:1."}], "duration2": ["INT", {"tooltip": "Duration for segment 2 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt3": ["STRING", {"tooltip": "Text prompt for frame 3 transition.", "default": "", "multiline": true}], "end_image3": ["IMAGE", {"tooltip": "End frame image for segment 3. Aspect ratio must be between 1:4 and 4:1."}], "duration3": ["INT", {"tooltip": "Duration for segment 3 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt4": ["STRING", {"tooltip": "Text prompt for frame 4 transition.", "default": "", "multiline": true}], "end_image4": ["IMAGE", {"tooltip": "End frame image for segment 4. Aspect ratio must be between 1:4 and 4:1."}], "duration4": ["INT", {"tooltip": "Duration for segment 4 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt5": ["STRING", {"tooltip": "Text prompt for frame 5 transition.", "default": "", "multiline": true}], "end_image5": ["IMAGE", {"tooltip": "End frame image for segment 5. Aspect ratio must be between 1:4 and 4:1."}], "duration5": ["INT", {"tooltip": "Duration for segment 5 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt6": ["STRING", {"tooltip": "Text prompt for frame 6 transition.", "default": "", "multiline": true}], "end_image6": ["IMAGE", {"tooltip": "End frame image for segment 6. Aspect ratio must be between 1:4 and 4:1."}], "duration6": ["INT", {"tooltip": "Duration for segment 6 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt7": ["STRING", {"tooltip": "Text prompt for frame 7 transition.", "default": "", "multiline": true}], "end_image7": ["IMAGE", {"tooltip": "End frame image for segment 7. Aspect ratio must be between 1:4 and 4:1."}], "duration7": ["INT", {"tooltip": "Duration for segment 7 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt8": ["STRING", {"tooltip": "Text prompt for frame 8 transition.", "default": "", "multiline": true}], "end_image8": ["IMAGE", {"tooltip": "End frame image for segment 8. Aspect ratio must be between 1:4 and 4:1."}], "duration8": ["INT", {"tooltip": "Duration for segment 8 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}]}}}, {"key": "9", "inputs": {"required": {"prompt1": ["STRING", {"tooltip": "Text prompt for frame 1 transition.", "default": "", "multiline": true}], "end_image1": ["IMAGE", {"tooltip": "End frame image for segment 1. Aspect ratio must be between 1:4 and 4:1."}], "duration1": ["INT", {"tooltip": "Duration for segment 1 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt2": ["STRING", {"tooltip": "Text prompt for frame 2 transition.", "default": "", "multiline": true}], "end_image2": ["IMAGE", {"tooltip": "End frame image for segment 2. Aspect ratio must be between 1:4 and 4:1."}], "duration2": ["INT", {"tooltip": "Duration for segment 2 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt3": ["STRING", {"tooltip": "Text prompt for frame 3 transition.", "default": "", "multiline": true}], "end_image3": ["IMAGE", {"tooltip": "End frame image for segment 3. Aspect ratio must be between 1:4 and 4:1."}], "duration3": ["INT", {"tooltip": "Duration for segment 3 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt4": ["STRING", {"tooltip": "Text prompt for frame 4 transition.", "default": "", "multiline": true}], "end_image4": ["IMAGE", {"tooltip": "End frame image for segment 4. Aspect ratio must be between 1:4 and 4:1."}], "duration4": ["INT", {"tooltip": "Duration for segment 4 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt5": ["STRING", {"tooltip": "Text prompt for frame 5 transition.", "default": "", "multiline": true}], "end_image5": ["IMAGE", {"tooltip": "End frame image for segment 5. Aspect ratio must be between 1:4 and 4:1."}], "duration5": ["INT", {"tooltip": "Duration for segment 5 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt6": ["STRING", {"tooltip": "Text prompt for frame 6 transition.", "default": "", "multiline": true}], "end_image6": ["IMAGE", {"tooltip": "End frame image for segment 6. Aspect ratio must be between 1:4 and 4:1."}], "duration6": ["INT", {"tooltip": "Duration for segment 6 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt7": ["STRING", {"tooltip": "Text prompt for frame 7 transition.", "default": "", "multiline": true}], "end_image7": ["IMAGE", {"tooltip": "End frame image for segment 7. Aspect ratio must be between 1:4 and 4:1."}], "duration7": ["INT", {"tooltip": "Duration for segment 7 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt8": ["STRING", {"tooltip": "Text prompt for frame 8 transition.", "default": "", "multiline": true}], "end_image8": ["IMAGE", {"tooltip": "End frame image for segment 8. Aspect ratio must be between 1:4 and 4:1."}], "duration8": ["INT", {"tooltip": "Duration for segment 8 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}], "prompt9": ["STRING", {"tooltip": "Text prompt for frame 9 transition.", "default": "", "multiline": true}], "end_image9": ["IMAGE", {"tooltip": "End frame image for segment 9. Aspect ratio must be between 1:4 and 4:1."}], "duration9": ["INT", {"tooltip": "Duration for segment 9 in seconds.", "default": 4, "min": 2, "max": 7, "step": 1, "display": "slider"}]}}}]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "start_image", "seed", "resolution", "frames"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "ViduMultiFrameVideoNode", "display_name": "Vidu Multi-Frame Video Generation", "description": "Generate a video with multiple keyframe transitions.", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMBO"}, {"name": "resolution", "type": "COMBO"}, {"name": "frames", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "frames.duration1", "type": "INT"}, {"name": "frames.duration2", "type": "INT"}, {"name": "frames.duration3", "type": "INT"}, {"name": "frames.duration4", "type": "INT"}, {"name": "frames.duration5", "type": "INT"}, {"name": "frames.duration6", "type": "INT"}, {"name": "frames.duration7", "type": "INT"}, {"name": "frames.duration8", "type": "INT"}, {"name": "frames.duration9", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $m := widgets.model;\n                  $n := $number(widgets.frames);\n                  $is1080 := widgets.resolution = \"1080p\";\n                  $d1 := $lookup(widgets, \"frames.duration1\");\n                  $d2 := $lookup(widgets, \"frames.duration2\");\n                  $d3 := $n >= 3 ? $lookup(widgets, \"frames.duration3\") : 0;\n                  $d4 := $n >= 4 ? $lookup(widgets, \"frames.duration4\") : 0;\n                  $d5 := $n >= 5 ? $lookup(widgets, \"frames.duration5\") : 0;\n                  $d6 := $n >= 6 ? $lookup(widgets, \"frames.duration6\") : 0;\n                  $d7 := $n >= 7 ? $lookup(widgets, \"frames.duration7\") : 0;\n                  $d8 := $n >= 8 ? $lookup(widgets, \"frames.duration8\") : 0;\n                  $d9 := $n >= 9 ? $lookup(widgets, \"frames.duration9\") : 0;\n                  $totalDuration := $d1 + $d2 + $d3 + $d4 + $d5 + $d6 + $d7 + $d8 + $d9;\n                  $contains($m, \"pro\")\n                    ? (\n                        $base := $is1080 ? 0.3 : 0.15;\n                        $perSec := $is1080 ? 0.075 : 0.05;\n                        {\"type\":\"usd\",\"usd\": $n * $base + $perSec * $totalDuration}\n                      )\n                    : (\n                        $base := $is1080 ? 0.2 : 0.075;\n                        $perSec := $is1080 ? 0.05 : 0.025;\n                        {\"type\":\"usd\",\"usd\": $n * $base + $perSec * $totalDuration}\n                      )\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Vidu3TextToVideoNode": {"input": {"required": {"model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model to use for video generation.", "options": [{"key": "viduq3-pro", "inputs": {"required": {"aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio of the output video.", "multiselect": false, "options": ["16:9", "9:16", "3:4", "4:3", "1:1"]}], "resolution": ["COMBO", {"tooltip": "Resolution of the output video.", "multiselect": false, "options": ["720p", "1080p"]}], "duration": ["INT", {"tooltip": "Duration of the output video in seconds.", "default": 5, "min": 1, "max": 16, "step": 1, "display": "slider"}], "audio": ["BOOLEAN", {"tooltip": "When enabled, outputs video with sound (including dialogue and sound effects).", "default": false}]}}}, {"key": "viduq3-turbo", "inputs": {"required": {"aspect_ratio": ["COMBO", {"tooltip": "The aspect ratio of the output video.", "multiselect": false, "options": ["16:9", "9:16", "3:4", "4:3", "1:1"]}], "resolution": ["COMBO", {"tooltip": "Resolution of the output video.", "multiselect": false, "options": ["720p", "1080p"]}], "duration": ["INT", {"tooltip": "Duration of the output video in seconds.", "default": 5, "min": 1, "max": 16, "step": 1, "display": "slider"}], "audio": ["BOOLEAN", {"tooltip": "When enabled, outputs video with sound (including dialogue and sound effects).", "default": false}]}}}]}], "prompt": ["STRING", {"tooltip": "A textual description for video generation, with a maximum length of 2000 characters.", "multiline": true}], "seed": ["INT", {"default": 1, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "Vidu3TextToVideoNode", "display_name": "Vidu Q3 Text-to-Video Generation", "description": "Generate video from a text prompt.", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "model.duration", "type": "INT"}, {"name": "model.resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $res := $lookup(widgets, \"model.resolution\");\n                  $d := $lookup(widgets, \"model.duration\");\n                  $contains(widgets.model, \"turbo\")\n                    ? (\n                        $rate := $lookup({\"720p\": 0.06, \"1080p\": 0.08}, $res);\n                        {\"type\":\"usd\",\"usd\": $rate * $d}\n                      )\n                    : (\n                        $rate := $lookup({\"720p\": 0.15, \"1080p\": 0.16}, $res);\n                        {\"type\":\"usd\",\"usd\": $rate * $d}\n                      )\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Vidu3ImageToVideoNode": {"input": {"required": {"model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model to use for video generation.", "options": [{"key": "viduq3-pro", "inputs": {"required": {"resolution": ["COMBO", {"tooltip": "Resolution of the output video.", "multiselect": false, "options": ["720p", "1080p", "2K"]}], "duration": ["INT", {"tooltip": "Duration of the output video in seconds.", "default": 5, "min": 1, "max": 16, "step": 1, "display": "slider"}], "audio": ["BOOLEAN", {"tooltip": "When enabled, outputs video with sound (including dialogue and sound effects).", "default": false}]}}}, {"key": "viduq3-turbo", "inputs": {"required": {"resolution": ["COMBO", {"tooltip": "Resolution of the output video.", "multiselect": false, "options": ["720p", "1080p"]}], "duration": ["INT", {"tooltip": "Duration of the output video in seconds.", "default": 5, "min": 1, "max": 16, "step": 1, "display": "slider"}], "audio": ["BOOLEAN", {"tooltip": "When enabled, outputs video with sound (including dialogue and sound effects).", "default": false}]}}}]}], "image": ["IMAGE", {"tooltip": "An image to be used as the start frame of the generated video."}], "prompt": ["STRING", {"tooltip": "An optional text prompt for video generation (max 2000 characters).", "default": "", "multiline": true}], "seed": ["INT", {"default": 1, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "image", "prompt", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "Vidu3ImageToVideoNode", "display_name": "Vidu Q3 Image-to-Video Generation", "description": "Generate a video from an image and an optional prompt.", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "model.duration", "type": "INT"}, {"name": "model.resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $res := $lookup(widgets, \"model.resolution\");\n                  $d := $lookup(widgets, \"model.duration\");\n                  $contains(widgets.model, \"turbo\")\n                    ? (\n                        $rate := $lookup({\"720p\": 0.06, \"1080p\": 0.08}, $res);\n                        {\"type\":\"usd\",\"usd\": $rate * $d}\n                      )\n                    : (\n                        $rate := $lookup({\"720p\": 0.15, \"1080p\": 0.16, \"2k\": 0.2}, $res);\n                        {\"type\":\"usd\",\"usd\": $rate * $d}\n                      )\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "Vidu3StartEndToVideoNode": {"input": {"required": {"model": ["COMFY_DYNAMICCOMBO_V3", {"tooltip": "Model to use for video generation.", "options": [{"key": "viduq3-pro", "inputs": {"required": {"resolution": ["COMBO", {"tooltip": "Resolution of the output video.", "multiselect": false, "options": ["720p", "1080p"]}], "duration": ["INT", {"tooltip": "Duration of the output video in seconds.", "default": 5, "min": 1, "max": 16, "step": 1, "display": "slider"}], "audio": ["BOOLEAN", {"tooltip": "When enabled, outputs video with sound (including dialogue and sound effects).", "default": false}]}}}, {"key": "viduq3-turbo", "inputs": {"required": {"resolution": ["COMBO", {"tooltip": "Resolution of the output video.", "multiselect": false, "options": ["720p", "1080p"]}], "duration": ["INT", {"tooltip": "Duration of the output video in seconds.", "default": 5, "min": 1, "max": 16, "step": 1, "display": "slider"}], "audio": ["BOOLEAN", {"tooltip": "When enabled, outputs video with sound (including dialogue and sound effects).", "default": false}]}}}]}], "first_frame": ["IMAGE", {}], "end_frame": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "Prompt description (max 2000 characters).", "multiline": true}], "seed": ["INT", {"default": 1, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "first_frame", "end_frame", "prompt", "seed"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "Vidu3StartEndToVideoNode", "display_name": "Vidu Q3 Start/End Frame-to-Video Generation", "description": "Generate a video from a start frame, an end frame, and a prompt.", "python_module": "comfy_api_nodes.nodes_vidu", "category": "api node/video/Vidu", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "model", "type": "COMFY_DYNAMICCOMBO_V3"}, {"name": "model.duration", "type": "INT"}, {"name": "model.resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $res := $lookup(widgets, \"model.resolution\");\n                  $d := $lookup(widgets, \"model.duration\");\n                  $contains(widgets.model, \"turbo\")\n                    ? (\n                        $rate := $lookup({\"720p\": 0.06, \"1080p\": 0.08}, $res);\n                        {\"type\":\"usd\",\"usd\": $rate * $d}\n                      )\n                    : (\n                        $rate := $lookup({\"720p\": 0.15, \"1080p\": 0.16}, $res);\n                        {\"type\":\"usd\",\"usd\": $rate * $d}\n                      )\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "WanTextToImageApi": {"input": {"required": {"model": ["COMBO", {"tooltip": "Model to use.", "default": "wan2.5-t2i-preview", "multiselect": false, "options": ["wan2.5-t2i-preview"]}], "prompt": ["STRING", {"tooltip": "Prompt describing the elements and visual features. Supports English and Chinese.", "default": "", "multiline": true}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "Negative prompt describing what to avoid.", "default": "", "multiline": true}], "width": ["INT", {"default": 1024, "min": 768, "max": 1440, "step": 32}], "height": ["INT", {"default": 1024, "min": 768, "max": 1440, "step": 32}], "seed": ["INT", {"tooltip": "Seed to use for generation.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "prompt_extend": ["BOOLEAN", {"tooltip": "Whether to enhance the prompt with AI assistance.", "advanced": true, "default": true}], "watermark": ["BOOLEAN", {"tooltip": "Whether to add an AI-generated watermark to the result.", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt"], "optional": ["negative_prompt", "width", "height", "seed", "prompt_extend", "watermark"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "WanTextToImageApi", "display_name": "Wan Text to Image", "description": "Generates an image based on a text prompt.", "python_module": "comfy_api_nodes.nodes_wan", "category": "api node/image/Wan", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.03}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "WanImageToImageApi": {"input": {"required": {"model": ["COMBO", {"tooltip": "Model to use.", "default": "wan2.5-i2i-preview", "multiselect": false, "options": ["wan2.5-i2i-preview"]}], "image": ["IMAGE", {"tooltip": "Single-image editing or multi-image fusion. Maximum 2 images."}], "prompt": ["STRING", {"tooltip": "Prompt describing the elements and visual features. Supports English and Chinese.", "default": "", "multiline": true}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "Negative prompt describing what to avoid.", "default": "", "multiline": true}], "seed": ["INT", {"tooltip": "Seed to use for generation.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "watermark": ["BOOLEAN", {"tooltip": "Whether to add an AI-generated watermark to the result.", "advanced": true, "default": false}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "image", "prompt"], "optional": ["negative_prompt", "seed", "watermark"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "output_tooltips": [null], "output_matchtypes": null, "name": "WanImageToImageApi", "display_name": "Wan Image to Image", "description": "Generates an image from one or two input images and a text prompt. The output image is currently fixed at 1.6 MP, and its aspect ratio matches the input image(s).", "python_module": "comfy_api_nodes.nodes_wan", "category": "api node/image/Wan", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [], "inputs": [], "input_groups": []}, "expr": "{\"type\":\"usd\",\"usd\":0.03}"}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "WanTextToVideoApi": {"input": {"required": {"model": ["COMBO", {"tooltip": "Model to use.", "default": "wan2.6-t2v", "multiselect": false, "options": ["wan2.5-t2v-preview", "wan2.6-t2v"]}], "prompt": ["STRING", {"tooltip": "Prompt describing the elements and visual features. Supports English and Chinese.", "default": "", "multiline": true}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "Negative prompt describing what to avoid.", "default": "", "multiline": true}], "size": ["COMBO", {"default": "720p: 1:1 (960x960)", "multiselect": false, "options": ["480p: 1:1 (624x624)", "480p: 16:9 (832x480)", "480p: 9:16 (480x832)", "720p: 1:1 (960x960)", "720p: 16:9 (1280x720)", "720p: 9:16 (720x1280)", "720p: 4:3 (1088x832)", "720p: 3:4 (832x1088)", "1080p: 1:1 (1440x1440)", "1080p: 16:9 (1920x1080)", "1080p: 9:16 (1080x1920)", "1080p: 4:3 (1632x1248)", "1080p: 3:4 (1248x1632)"]}], "duration": ["INT", {"tooltip": "A 15-second duration is available only for the Wan 2.6 model.", "default": 5, "min": 5, "max": 15, "step": 5, "display": "number"}], "audio": ["AUDIO", {"tooltip": "Audio must contain a clear, loud voice, without extraneous noise or background music."}], "seed": ["INT", {"tooltip": "Seed to use for generation.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "generate_audio": ["BOOLEAN", {"tooltip": "If no audio input is provided, generate audio automatically.", "advanced": true, "default": false}], "prompt_extend": ["BOOLEAN", {"tooltip": "Whether to enhance the prompt with AI assistance.", "advanced": true, "default": true}], "watermark": ["BOOLEAN", {"tooltip": "Whether to add an AI-generated watermark to the result.", "advanced": true, "default": false}], "shot_type": ["COMBO", {"tooltip": "Specifies the shot type for the generated video, that is, whether the video is a single continuous shot or multiple shots with cuts. This parameter takes effect only when prompt_extend is True.", "advanced": true, "multiselect": false, "options": ["single", "multi"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "prompt"], "optional": ["negative_prompt", "size", "duration", "audio", "seed", "generate_audio", "prompt_extend", "watermark", "shot_type"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "WanTextToVideoApi", "display_name": "Wan Text to Video", "description": "Generates a video based on a text prompt.", "python_module": "comfy_api_nodes.nodes_wan", "category": "api node/video/Wan", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "INT"}, {"name": "size", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $ppsTable := { \"480p\": 0.05, \"720p\": 0.1, \"1080p\": 0.15 };\n                  $resKey := $substringBefore(widgets.size, \":\");\n                  $pps := $lookup($ppsTable, $resKey);\n                  { \"type\": \"usd\", \"usd\": $round($pps * widgets.duration, 2) }\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "WanImageToVideoApi": {"input": {"required": {"model": ["COMBO", {"tooltip": "Model to use.", "default": "wan2.6-i2v", "multiselect": false, "options": ["wan2.5-i2v-preview", "wan2.6-i2v"]}], "image": ["IMAGE", {}], "prompt": ["STRING", {"tooltip": "Prompt describing the elements and visual features. Supports English and Chinese.", "default": "", "multiline": true}]}, "optional": {"negative_prompt": ["STRING", {"tooltip": "Negative prompt describing what to avoid.", "default": "", "multiline": true}], "resolution": ["COMBO", {"default": "720P", "multiselect": false, "options": ["480P", "720P", "1080P"]}], "duration": ["INT", {"tooltip": "Duration 15 available only for WAN2.6 model.", "default": 5, "min": 5, "max": 15, "step": 5, "display": "number"}], "audio": ["AUDIO", {"tooltip": "Audio must contain a clear, loud voice, without extraneous noise or background music."}], "seed": ["INT", {"tooltip": "Seed to use for generation.", "default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "generate_audio": ["BOOLEAN", {"tooltip": "If no audio input is provided, generate audio automatically.", "advanced": true, "default": false}], "prompt_extend": ["BOOLEAN", {"tooltip": "Whether to enhance the prompt with AI assistance.", "advanced": true, "default": true}], "watermark": ["BOOLEAN", {"tooltip": "Whether to add an AI-generated watermark to the result.", "advanced": true, "default": false}], "shot_type": ["COMBO", {"tooltip": "Specifies the shot type for the generated video, that is, whether the video is a single continuous shot or multiple shots with cuts. This parameter takes effect only when prompt_extend is True.", "advanced": true, "multiselect": false, "options": ["single", "multi"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["model", "image", "prompt"], "optional": ["negative_prompt", "resolution", "duration", "audio", "seed", "generate_audio", "prompt_extend", "watermark", "shot_type"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "WanImageToVideoApi", "display_name": "Wan Image to Video", "description": "Generates a video from the first frame and a text prompt.", "python_module": "comfy_api_nodes.nodes_wan", "category": "api node/video/Wan", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "duration", "type": "INT"}, {"name": "resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $ppsTable := { \"480p\": 0.05, \"720p\": 0.1, \"1080p\": 0.15 };\n                  $pps := $lookup($ppsTable, widgets.resolution);\n                  { \"type\": \"usd\", \"usd\": $round($pps * widgets.duration, 2) }\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "WanReferenceVideoApi": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["wan2.6-r2v"]}], "prompt": ["STRING", {"tooltip": "Prompt describing the elements and visual features. Supports English and Chinese. Use identifiers such as `character1` and `character2` to refer to the reference characters.", "default": "", "multiline": true}], "negative_prompt": ["STRING", {"tooltip": "Negative prompt describing what to avoid.", "default": "", "multiline": true}], "reference_videos": ["COMFY_AUTOGROW_V3", {"template": {"input": {"required": {"reference_video": ["VIDEO", {}]}}, "names": ["character1", "character2", "character3"], "min": 1}}], "size": ["COMBO", {"multiselect": false, "options": ["720p: 1:1 (960x960)", "720p: 16:9 (1280x720)", "720p: 9:16 (720x1280)", "720p: 4:3 (1088x832)", "720p: 3:4 (832x1088)", "1080p: 1:1 (1440x1440)", "1080p: 16:9 (1920x1080)", "1080p: 9:16 (1080x1920)", "1080p: 4:3 (1632x1248)", "1080p: 3:4 (1248x1632)"]}], "duration": ["INT", {"default": 5, "min": 5, "max": 10, "step": 5, "display": "slider"}], "seed": ["INT", {"default": 0, "min": 0, "max": 2147483647, "step": 1, "control_after_generate": true, "display": "number"}], "shot_type": ["COMBO", {"tooltip": 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prompt, to generate a new video that maintains character consistency.", "python_module": "comfy_api_nodes.nodes_wan", "category": "api node/video/Wan", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "size", "type": "COMBO"}, {"name": "duration", "type": "INT"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $rate := $contains(widgets.size, \"1080p\") ? 0.15 : 0.10;\n                  $inputMin := 2 * $rate;\n                  $inputMax := 5 * $rate;\n                  $outputPrice := widgets.duration * $rate;\n                  {\n                    \"type\": \"range_usd\",\n                    \"min_usd\": $inputMin + $outputPrice,\n                    \"max_usd\": $inputMax + $outputPrice\n                  }\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "WavespeedFlashVSRNode": {"input": {"required": {"video": ["VIDEO", {}], "target_resolution": ["COMBO", {"multiselect": false, "options": ["720p", "1080p", "2K", "4K"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], "api_key_comfy_org": ["API_KEY_COMFY_ORG"], "unique_id": ["UNIQUE_ID"]}}, "input_order": {"required": ["video", "target_resolution"], "hidden": ["auth_token_comfy_org", "api_key_comfy_org", "unique_id"]}, "is_input_list": false, "output": ["VIDEO"], "output_is_list": [false], "output_name": ["VIDEO"], "output_tooltips": [null], "output_matchtypes": null, "name": "WavespeedFlashVSRNode", "display_name": "FlashVSR Video Upscale", "description": "Fast, high-quality video upscaler that boosts resolution and restores clarity for low-resolution or blurry footage.", "python_module": "comfy_api_nodes.nodes_wavespeed", "category": "api node/video/WaveSpeed", "output_node": false, "deprecated": false, "experimental": false, "dev_only": false, "api_node": true, "price_badge": {"engine": "jsonata", "depends_on": {"widgets": [{"name": "target_resolution", "type": "COMBO"}], "inputs": [], "input_groups": []}, "expr": "\n                (\n                  $price_for_1sec := {\"720p\": 0.012, \"1080p\": 0.018, \"2k\": 0.024, \"4k\": 0.032};\n                  {\n                    \"type\":\"usd\",\n                    \"usd\": $lookup($price_for_1sec, widgets.target_resolution),\n                    \"format\":{\"suffix\": \"/second\", \"approximate\": true}\n                  }\n                )\n                "}, "search_aliases": null, "essentials_category": null, "has_intermediate_output": false}, "WavespeedImageUpscaleNode": {"input": {"required": {"model": ["COMBO", {"multiselect": false, "options": ["SeedVR2", "Ultimate"]}], "image": ["IMAGE", {}], "target_resolution": ["COMBO", {"multiselect": false, "options": ["2K", "4K", "8K"]}]}, "hidden": {"auth_token_comfy_org": ["AUTH_TOKEN_COMFY_ORG"], 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'all' merges everything (or just the selected index when specified)."}]}, "optional": {"select_mask_index": [["none", "1", "2", "3", "4", "5", "6", "7", "8", "9", "10"], {"default": "none", "tooltip": "1-based index of the first mask to keep. Use 'none' to start from the first detection."}], "conf": ["FLOAT", {"default": 0.25, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "Confidence threshold forwarded to Ultralytics."}], "iou": ["FLOAT", {"default": 0.45, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "IOU used during NMS."}], "classes": ["STRING", {"default": "", "placeholder": "e.g. 0,2,5-7", "tooltip": "Comma list or ranges of class IDs; empty keeps every class."}], "device": [["auto", "cuda", "cpu", "mps"], {"default": "auto", "tooltip": "Force a device or auto-detect CUDA \u2192 MPS \u2192 CPU."}], "max_det": ["INT", {"default": 300, "min": 1, "max": 1000, "step": 1, "tooltip": "Maximum detections per image."}], "retina_masks": ["BOOLEAN", {"default": true, "tooltip": "Use high-resolution masks (Ultralytics retina_masks flag)."}], "agnostic_nms": ["BOOLEAN", {"default": false, "tooltip": "Enable class-agnostic NMS."}]}}, "input_order": {"required": ["images", "yolo_model", "mask_count"], "optional": ["select_mask_index", "conf", "iou", "classes", "device", "max_det", "retina_masks", "agnostic_nms"]}, "is_input_list": false, "output": ["IMAGE", "MASK", "MASK"], "output_is_list": [false, false, false], "output_name": ["ANNOTATED_IMAGE", "MASK", "MASK_LIST"], "name": "AILab_YoloV8Adv", "display_name": "YOLOv8 Adv (RMBG)", "description": "", "python_module": "custom_nodes.ComfyUI-RMBG", "category": "\ud83e\uddeaAILab/\ud83e\uddfdRMBG", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_VideoCombine": {"input": {"required": {"images": ["IMAGE"], "frame_rate": ["FLOAT", {"default": 8, "min": 1, "step": 1}], "loop_count": ["INT", {"default": 0, "min": 0, "max": 100, "step": 1}], "filename_prefix": ["STRING", {"default": "AnimateDiff"}], "format": [["image/gif", "image/webp", "video/16bit-png", "video/8bit-png", "video/ProRes", "video/av1-webm", "video/ffmpeg-gif", "video/ffv1-mkv", "video/h264-mp4", "video/h265-mp4", "video/nvenc_av1-mp4", "video/nvenc_h264-mp4", "video/nvenc_hevc-mp4", "video/webm"], {"formats": {"video/ProRes": [["profile", ["lt", "standard", "hq", "4444", "4444xq"], {"default": "hq"}]], "video/av1-webm": [["pix_fmt", ["yuv420p10le", "yuv420p"]], ["crf", "INT", {"default": 23, "min": 0, "max": 100, "step": 1}], ["input_color_depth", ["8bit", "16bit"]], ["save_metadata", "BOOLEAN", {"default": true}]], "video/ffmpeg-gif": [["dither", ["bayer", "heckbert", "floyd_steinberg", "sierra2", "sierra2_4a", "sierra3", "burkes", "atkinson", "none"], {"default": "sierra2_4a"}, "[0:v] split [a][b]; [a] palettegen=reserve_transparent=on:transparency_color=ffffff [p]; [b][p] paletteuse=dither=$val"]], "video/ffv1-mkv": [["level", ["0", "1", "3"], {"default": "3"}], ["coder", ["0", "1", "2"], {"default": "1"}], ["context", ["0", "1"], {"default": "1"}], ["gop_size", "INT", {"default": 1, "min": 1, "max": 300, "step": 1}], ["slices", ["4", "6", "9", "12", "16", "20", "24", "30"], {"default": "16"}], ["slicecrc", ["0", "1"], {"default": "1"}], ["pix_fmt", ["rgba64le", "bgra", "yuv420p", "yuv422p", "yuv444p", "yuva420p", "yuva422p", "yuva444p", "yuv420p10le", "yuv422p10le", "yuv444p10le", "yuv420p12le", "yuv422p12le", "yuv444p12le", "yuv420p14le", "yuv422p14le", "yuv444p14le", "yuv420p16le", "yuv422p16le", "yuv444p16le", "gray", "gray10le", "gray12le", "gray16le"], {"default": "rgba64le"}], ["save_metadata", "BOOLEAN", {"default": true}], ["trim_to_audio", "BOOLEAN", {"default": false}]], "video/h264-mp4": [["pix_fmt", ["yuv420p", "yuv420p10le"]], ["crf", "INT", {"default": 19, "min": 0, "max": 100, "step": 1}], ["save_metadata", "BOOLEAN", {"default": true}], ["trim_to_audio", "BOOLEAN", {"default": false}]], "video/h265-mp4": [["pix_fmt", ["yuv420p10le", "yuv420p"]], ["crf", "INT", {"default": 22, "min": 0, "max": 100, "step": 1}], ["save_metadata", "BOOLEAN", {"default": true}]], "video/nvenc_av1-mp4": [["pix_fmt", ["yuv420p", "p010le"]], ["bitrate", "INT", {"default": 10, "min": 1, "max": 999, "step": 1}], ["megabit", "BOOLEAN", {"default": true}], ["save_metadata", "BOOLEAN", {"default": true}]], "video/nvenc_h264-mp4": [["pix_fmt", ["yuv420p", "p010le"]], ["bitrate", "INT", {"default": 10, "min": 1, "max": 999, "step": 1}], ["megabit", "BOOLEAN", {"default": true}], ["save_metadata", "BOOLEAN", {"default": true}]], "video/nvenc_hevc-mp4": [["pix_fmt", ["yuv420p", "p010le"]], ["bitrate", "INT", {"default": 10, "min": 1, "max": 999, "step": 1}], ["megabit", "BOOLEAN", {"default": true}], ["save_metadata", "BOOLEAN", {"default": true}]], "video/webm": [["pix_fmt", ["yuv420p", "yuva420p"]], ["crf", "INT", {"default": 20, "min": 0, "max": 100, "step": 1}], ["save_metadata", "BOOLEAN", {"default": true}], ["trim_to_audio", "BOOLEAN", {"default": false}]], "image/webp": [["lossless", "BOOLEAN", {"default": true}]]}}], "pingpong": ["BOOLEAN", {"default": false}], "save_output": ["BOOLEAN", {"default": true}]}, "optional": {"audio": ["AUDIO"], "meta_batch": ["VHS_BatchManager"], "vae": ["VAE"]}, "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO", "unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["images", "frame_rate", "loop_count", "filename_prefix", "format", "pingpong", "save_output"], "optional": ["audio", "meta_batch", "vae"], "hidden": ["prompt", "extra_pnginfo", "unique_id"]}, "is_input_list": false, "output": ["VHS_FILENAMES"], "output_is_list": [false], "output_name": ["Filenames"], "name": "VHS_VideoCombine", "display_name": "Video Combine \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Video Combine \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Combine an image sequence into a video</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"images\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">images: The images to be turned into a video</div></div><div vhs_title=\"audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">audio: (optional) audio to add to the video</div></div><div vhs_title=\"meta_batch\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">meta_batch: (optional) Connect to a Meta Batch manager to divide extremely long image sequences into sub batches. See the documentation for Meta Batch Manager</div></div><div vhs_title=\"vae\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">vae: (optional) If provided, the node will take latents as input instead of images. This drastically reduces the required RAM (not VRAM) when working with long (100+ frames) sequences<div style=\"font-size: 1em\">Unlike on Load Video, this isn't always a strict upgrade over using a standalone VAE Decode.</div><div style=\"font-size: 1em\">If you have multiple Video Combine outputs, then the VAE decode will be performed for each output node increasing execution time</div><div style=\"font-size: 1em\">If you make any change to output settings on the Video Combine (such as changing the output format), the VAE decode will be performed again as the decoded result is (by design) not cached</div></div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"frame_rate\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">frame_rate: The frame rate which will be used for the output video. Consider converting this to an input and connecting this to a Load Video with Video Info(Loaded)->fps. When including audio, failure to properly set this will result in audio desync</div></div><div vhs_title=\"loop_count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">loop_count: The number of additional times the video should repeat. Can cause performance issues when used with long (100+ frames) sequences</div></div><div vhs_title=\"filename_prefix\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">filename_prefix: A prefix to add to the name of the output filename. This can include subfolders or format strings.</div></div><div vhs_title=\"format\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">format: The output format to use. Formats starting with, 'image' are saved with PIL, but formats starting with 'video' utilize the video_formats system. 'video' options require ffmpeg and selecting one frequently adds additional options to the node.</div></div><div vhs_title=\"pingpong\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">pingpong: Play the video normally, then repeat the video in reverse so that it 'pingpongs' back and forth. This is frequently used to minimize the appearance of skips on very short animations.</div></div><div vhs_title=\"save_output\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">save_output: Specifies if output files should be saved to the output folder, or the temporary output folder</div></div><div vhs_title=\"videopreview\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">videopreview: Displays a preview for the processed result. If advanced previews is enabled, the output is always converted to a format viewable from the browser. If the video has audio, it will also be previewed when moused over. Additional preview options can be accessed with right click.</div></div></div></div><div vhs_title=\"Common Format Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Common Format Widgets: <div vhs_title=\"crf\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">crf: Determines how much to prioritize quality over filesize. Numbers vary between formats, but on each format that includes it, the default value provides visually loss less output</div></div><div vhs_title=\"pix_fmt\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">pix_fmt: The pixel format to use for output. Alternative options will often have higher quality at the cost of increased file size and reduced compatibility with external software.<div style=\"font-size: 1em\"><div vhs_title=\"yuv420p\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">yuv420p: The most common and default format</div></div><div vhs_title=\"yuv420p10le\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">yuv420p10le: Use 10 bit color depth. This can improve color quality when combined with 16bit input color depth</div></div><div vhs_title=\"yuva420p\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">yuva420p: Include transparency in the output video</div></div></div></div></div><div vhs_title=\"input_color_depth\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">input_color_depth: VHS supports outputting 16bit images. While this produces higher quality output, the difference usually isn't visible without postprocessing and it significantly increases file size and processing time.</div></div><div vhs_title=\"save_metadata\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">save_metadata: Determines if metadata for the workflow should be included in the output video file</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "VHS_LoadVideo": {"input": {"required": {"video": [[]], "force_rate": ["FLOAT", {"default": 0, "min": 0, "max": 60, "step": 1, "disable": 0}], "custom_width": ["INT", {"default": 0, "min": 0, "max": 8192, "disable": 0}], "custom_height": ["INT", {"default": 0, "min": 0, "max": 8192, "disable": 0}], "frame_load_cap": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1, "disable": 0}], "skip_first_frames": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1}], "select_every_nth": ["INT", {"default": 1, "min": 1, "max": 9007199254740991, "step": 1}]}, "optional": {"meta_batch": ["VHS_BatchManager"], "vae": ["VAE"], "format": [["None", "AnimateDiff", "Mochi", "LTXV", "Hunyuan", "Cosmos", "Wan"], {"default": "AnimateDiff", "formats": {"None": {}, "AnimateDiff": {"target_rate": 8, "dim": [8, 0, 512, 512]}, "Mochi": {"target_rate": 24, "dim": [16, 0, 848, 480], "frames": [6, 1]}, "LTXV": {"target_rate": 24, "dim": [32, 0, 768, 512], "frames": [8, 1]}, "Hunyuan": {"target_rate": 24, "dim": [16, 0, 848, 480], "frames": [4, 1]}, "Cosmos": {"target_rate": 24, "dim": [16, 0, 1280, 704], "frames": [8, 1]}, "Wan": {"target_rate": 16, "dim": [8, 0, 832, 480], "frames": [4, 1]}}}]}, "hidden": {"force_size": "STRING", "unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["video", "force_rate", "custom_width", "custom_height", "frame_load_cap", "skip_first_frames", "select_every_nth"], "optional": ["meta_batch", "vae", "format"], "hidden": ["force_size", "unique_id"]}, "is_input_list": false, "output": ["IMAGE", "INT", "AUDIO", "VHS_VIDEOINFO"], "output_is_list": [false, false, false, false], "output_name": ["IMAGE", "frame_count", "audio", "video_info"], "name": "VHS_LoadVideo", "display_name": "Load Video (Upload) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Load Video \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Loads a video from the input folder</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"meta_batch\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">meta_batch: (optional) Connect to a Meta Batch manager to divide extremely long sequences into sub batches. See the documentation for Meta Batch Manager</div></div><div vhs_title=\"vae\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">vae: (optional) If provided the node will output latents instead of images. This drastically reduces the required RAM (not VRAM) when working with long (100+ frames) sequences<div style=\"font-size: 1em\">Using this is strongly encouraged unless connecting to a node that requires a blue image connection such as Apply Controllnet</div></div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE: The loaded images</div></div><div vhs_title=\"frame_count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">frame_count: The length of images just returned</div></div><div vhs_title=\"audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">audio: The audio from the loaded video</div></div><div vhs_title=\"video_info\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">video_info: Exposes additional info about the video such as the source frame rate, or the total length</div></div><div vhs_title=\"LATENT\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">LATENT: The loaded images pre-converted to latents. Only available when a vae is connected</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"video\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">video: The video file to be loaded. Lists all files with a video extension in the ComfyUI/Input folder</div></div><div vhs_title=\"force_rate\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">force_rate: Drops or duplicates frames so that the produced output has the target frame rate. Many motion models are trained on videos of a specific frame rate and will give better results if input matches that frame rate. If set to 0, all frames are returned. May give unusual results with inputs that have a variable frame rate like animated gifs. Reducing this value can also greatly reduce the execution time and memory requirements.</div></div><div vhs_title=\"force_size\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">force_size: Previously was used to provide suggested resolutions. Instead, custom_width and custom_height can be disabled by setting to 0.</div></div><div vhs_title=\"custom_width\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">custom_width: Allows for an arbitrary width to be entered, cropping to maintain aspect ratio if both are set</div></div><div vhs_title=\"custom_height\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">custom_height: Allows for an arbitrary height to be entered, cropping to maintain aspect ratio if both are set</div></div><div vhs_title=\"frame_load_cap\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">frame_load_cap: The maximum number of frames to load. If 0, all frames are loaded.</div></div><div vhs_title=\"skip_first_frames\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">skip_first_frames: A number of frames which are discarded before producing output.</div></div><div vhs_title=\"select_every_nth\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">select_every_nth: Similar to frame rate. Keeps only the first of every n frames and discard the rest. Has better compatibility with variable frame rate inputs such as gifs. When combined with force_rate, select_every_nth_applies after force_rate so the resulting output has a frame rate equivalent to force_rate/select_every_nth. select_every_nth does not apply to skip_first_frames</div></div><div vhs_title=\"format\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">format: Updates other widgets so that only values supported by the given format can be entered and provides recommended defaults.</div></div><div vhs_title=\"choose video to upload\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">choose video to upload: An upload button is provided to upload local files to the input folder</div></div><div vhs_title=\"videopreview\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">videopreview: Displays a preview for the selected video input. If advanced previews is enabled, this preview will reflect the frame_load_cap, force_rate, skip_first_frames, and select_every_nth values chosen. If the video has audio, it will also be previewed when moused over. Additional preview options can be accessed with right click.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_LoadVideoPath": {"input": {"required": {"video": ["STRING", {"placeholder": "X://insert/path/here.mp4", "vhs_path_extensions": ["webm", "mp4", "mkv", "gif", "mov"]}], "force_rate": ["FLOAT", {"default": 0, "min": 0, "max": 60, "step": 1, "disable": 0}], "custom_width": ["INT", {"default": 0, "min": 0, "max": 8192, "disable": 0}], "custom_height": ["INT", {"default": 0, "min": 0, "max": 8192, "disable": 0}], "frame_load_cap": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1, "disable": 0}], "skip_first_frames": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1}], "select_every_nth": ["INT", {"default": 1, "min": 1, "max": 9007199254740991, "step": 1}]}, "optional": {"meta_batch": ["VHS_BatchManager"], "vae": ["VAE"], "format": [["None", "AnimateDiff", "Mochi", "LTXV", "Hunyuan", "Cosmos", "Wan"], {"default": "AnimateDiff", "formats": {"None": {}, "AnimateDiff": {"target_rate": 8, "dim": [8, 0, 512, 512]}, "Mochi": {"target_rate": 24, "dim": [16, 0, 848, 480], "frames": [6, 1]}, "LTXV": {"target_rate": 24, "dim": [32, 0, 768, 512], "frames": [8, 1]}, "Hunyuan": {"target_rate": 24, "dim": [16, 0, 848, 480], "frames": [4, 1]}, "Cosmos": {"target_rate": 24, "dim": [16, 0, 1280, 704], "frames": [8, 1]}, "Wan": {"target_rate": 16, "dim": [8, 0, 832, 480], "frames": [4, 1]}}}]}, "hidden": {"force_size": "STRING", "unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["video", "force_rate", "custom_width", "custom_height", "frame_load_cap", "skip_first_frames", "select_every_nth"], "optional": ["meta_batch", "vae", "format"], "hidden": ["force_size", "unique_id"]}, "is_input_list": false, "output": ["IMAGE", "INT", "AUDIO", "VHS_VIDEOINFO"], "output_is_list": [false, false, false, false], "output_name": ["IMAGE", "frame_count", "audio", "video_info"], "name": "VHS_LoadVideoPath", "display_name": "Load Video (Path) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Load Video (Path) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Loads a video from an arbitrary path</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"meta_batch\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">meta_batch: (optional) Connect to a Meta Batch manager to divide extremely long sequences into sub batches. See the documentation for Meta Batch Manager</div></div><div vhs_title=\"vae\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">vae: (optional) If provided the node will output latents instead of images. This drastically reduces the required RAM (not VRAM) when working with long (100+ frames) sequences<div style=\"font-size: 1em\">Using this is strongly encouraged unless connecting to a node that requires a blue image connection such as Apply Controllnet</div></div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE: The loaded images</div></div><div vhs_title=\"frame_count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">frame_count: The length of images just returned</div></div><div vhs_title=\"audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">audio: The audio from the loaded video</div></div><div vhs_title=\"video_info\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">video_info: Exposes additional info about the video such as the source frame rate, or the total length</div></div><div vhs_title=\"LATENT\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">LATENT: The loaded images pre-converted to latents. Only available when a vae is connected</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"video\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">video: The video file to be loaded.<div style=\"font-size: 1em\">You can also select an image to load it as a single frame</div><div style=\"font-size: 1em\">This is a VHS_PATH input. When edited, it provides a list of possible valid files or directories</div><div style=\"font-size: 1em\"><video preload=\"none\" src=https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite/assets/4284322/729b7185-1fca-41d8-bc8d-a770bb2a5ce6 muted loop controls controlslist=\"nodownload noremoteplayback noplaybackrate\" style=\"width: 0px; min-width: 100%\" class=\"VHS_loopedvideo\"></div><div style=\"font-size: 1em\">The current top-most completion may be selected with Tab</div><div style=\"font-size: 1em\">You can navigate up a directory by pressing Ctrl+B (or Ctrl+W if supported by browser)</div><div style=\"font-size: 1em\">The filter on suggested file types can be disabled by pressing Ctrl+G.</div><div style=\"font-size: 1em\">If converted to an input, this functions as a string</div></div></div><div vhs_title=\"force_rate\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">force_rate: Drops or duplicates frames so that the produced output has the target frame rate. Many motion models are trained on videos of a specific frame rate and will give better results if input matches that frame rate. If set to 0, all frames are returned. May give unusual results with inputs that have a variable frame rate like animated gifs. Reducing this value can also greatly reduce the execution time and memory requirements.</div></div><div vhs_title=\"force_size\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">force_size: Previously was used to provide suggested resolutions. Instead, custom_width and custom_height can be disabled by setting to 0.</div></div><div vhs_title=\"custom_width\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">custom_width: Allows for an arbitrary width to be entered, cropping to maintain aspect ratio if both are set</div></div><div vhs_title=\"custom_height\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">custom_height: Allows for an arbitrary height to be entered, cropping to maintain aspect ratio if both are set</div></div><div vhs_title=\"frame_load_cap\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">frame_load_cap: The maximum number of frames to load. If 0, all frames are loaded.</div></div><div vhs_title=\"skip_first_frames\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">skip_first_frames: A number of frames which are discarded before producing output.</div></div><div vhs_title=\"select_every_nth\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">select_every_nth: Similar to frame rate. Keeps only the first of every n frames and discard the rest. Has better compatibility with variable frame rate inputs such as gifs. When combined with force_rate, select_every_nth_applies after force_rate so the resulting output has a frame rate equivalent to force_rate/select_every_nth. select_every_nth does not apply to skip_first_frames</div></div><div vhs_title=\"format\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">format: Updates other widgets so that only values supported by the given format can be entered and provides recommended defaults.</div></div><div vhs_title=\"videopreview\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">videopreview: Displays a preview for the selected video input. Will only be shown if Advanced Previews is enabled. This preview will reflect the frame_load_cap, force_rate, skip_first_frames, and select_every_nth values chosen. If the video has audio, it will also be previewed when moused over. Additional preview options can be accessed with right click.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_LoadVideoFFmpeg": {"input": {"required": {"video": [[]], "force_rate": ["FLOAT", {"default": 0, "min": 0, "max": 60, "step": 1, "disable": 0}], "custom_width": ["INT", {"default": 0, "min": 0, "max": 8192, "disable": 0}], "custom_height": ["INT", {"default": 0, "min": 0, "max": 8192, "disable": 0}], "frame_load_cap": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1, "disable": 0}], "start_time": ["FLOAT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 0.001, "widgetType": "VHSTIMESTAMP"}]}, "optional": {"meta_batch": ["VHS_BatchManager"], "vae": ["VAE"], "format": [["None", "AnimateDiff", "Mochi", "LTXV", "Hunyuan", "Cosmos", "Wan"], {"default": "AnimateDiff", "formats": {"None": {}, "AnimateDiff": {"target_rate": 8, "dim": [8, 0, 512, 512]}, "Mochi": {"target_rate": 24, "dim": [16, 0, 848, 480], "frames": [6, 1]}, "LTXV": {"target_rate": 24, "dim": [32, 0, 768, 512], "frames": [8, 1]}, "Hunyuan": {"target_rate": 24, "dim": [16, 0, 848, 480], "frames": [4, 1]}, "Cosmos": {"target_rate": 24, "dim": [16, 0, 1280, 704], "frames": [8, 1]}, "Wan": {"target_rate": 16, "dim": [8, 0, 832, 480], "frames": [4, 1]}}}]}, "hidden": {"force_size": "STRING", "unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["video", "force_rate", "custom_width", "custom_height", "frame_load_cap", "start_time"], "optional": ["meta_batch", "vae", "format"], "hidden": ["force_size", "unique_id"]}, "is_input_list": false, "output": ["IMAGE", "MASK", "AUDIO", "VHS_VIDEOINFO"], "output_is_list": [false, false, false, false], "output_name": ["IMAGE", "mask", "audio", "video_info"], "name": "VHS_LoadVideoFFmpeg", "display_name": "Load Video FFmpeg (Upload) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Load Video FFmpeg \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Loads a video from the input folder using ffmpeg instead of opencv</div></div><div style=\"font-size: 0.8em\">Provides faster execution speed, transparency support, and allows specifying start time in seconds</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"meta_batch\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">meta_batch: (optional) Connect to a Meta Batch manager to divide extremely long sequences into sub batches. See the documentation for Meta Batch Manager</div></div><div vhs_title=\"vae\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">vae: (optional) If provided the node will output latents instead of images. This drastically reduces the required RAM (not VRAM) when working with long (100+ frames) sequences<div style=\"font-size: 1em\">Using this is strongly encouraged unless connecting to a node that requires a blue image connection such as Apply Controllnet</div></div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE: The loaded images</div></div><div vhs_title=\"mask\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">mask: Transparency data from the loaded video</div></div><div vhs_title=\"audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">audio: The audio from the loaded video</div></div><div vhs_title=\"video_info\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">video_info: Exposes additional info about the video such as the source frame rate, or the total length</div></div><div vhs_title=\"LATENT\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">LATENT: The loaded images pre-converted to latents. Only available when a vae is connected</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"video\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">video: The video file to be loaded. Lists all files with a video extension in the ComfyUI/Input folder</div></div><div vhs_title=\"force_rate\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">force_rate: Drops or duplicates frames so that the produced output has the target frame rate. Many motion models are trained on videos of a specific frame rate and will give better results if input matches that frame rate. If set to 0, all frames are returned. May give unusual results with inputs that have a variable frame rate like animated gifs. Reducing this value can also greatly reduce the execution time and memory requirements.</div></div><div vhs_title=\"force_size\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">force_size: Previously was used to provide suggested resolutions. Instead, custom_width and custom_height can be disabled by setting to 0.</div></div><div vhs_title=\"custom_width\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">custom_width: Allows for an arbitrary width to be entered, cropping to maintain aspect ratio if both are set</div></div><div vhs_title=\"custom_height\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">custom_height: Allows for an arbitrary height to be entered, cropping to maintain aspect ratio if both are set</div></div><div vhs_title=\"frame_load_cap\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">frame_load_cap: The maximum number of frames to load. If 0, all frames are loaded.</div></div><div vhs_title=\"start_time\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">start_time: A timestamp, in seconds from the start of the video, to start loading frames from. </div></div><div vhs_title=\"format\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">format: Updates other widgets so that only values supported by the given format can be entered and provides recommended defaults.</div></div><div vhs_title=\"choose video to upload\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">choose video to upload: An upload button is provided to upload local files to the input folder</div></div><div vhs_title=\"videopreview\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">videopreview: Displays a preview for the selected video input. If advanced previews is enabled, this preview will reflect the frame_load_cap, force_rate, skip_first_frames, and select_every_nth values chosen. If the video has audio, it will also be previewed when moused over. Additional preview options can be accessed with right click.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_LoadVideoFFmpegPath": {"input": {"required": {"video": ["STRING", {"placeholder": "X://insert/path/here.mp4", "vhs_path_extensions": ["webm", "mp4", "mkv", "gif", "mov"]}], "force_rate": ["FLOAT", {"default": 0, "min": 0, "max": 60, "step": 1, "disable": 0}], "custom_width": ["INT", {"default": 0, "min": 0, "max": 8192, "disable": 0}], "custom_height": ["INT", {"default": 0, "min": 0, "max": 8192, "disable": 0}], "frame_load_cap": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1, "disable": 0}], "start_time": ["FLOAT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 0.001, "widgetType": "VHSTIMESTAMP"}]}, "optional": {"meta_batch": ["VHS_BatchManager"], "vae": ["VAE"], "format": [["None", "AnimateDiff", "Mochi", "LTXV", "Hunyuan", "Cosmos", "Wan"], {"default": "AnimateDiff", "formats": {"None": {}, "AnimateDiff": {"target_rate": 8, "dim": [8, 0, 512, 512]}, "Mochi": {"target_rate": 24, "dim": [16, 0, 848, 480], "frames": [6, 1]}, "LTXV": {"target_rate": 24, "dim": [32, 0, 768, 512], "frames": [8, 1]}, "Hunyuan": {"target_rate": 24, "dim": [16, 0, 848, 480], "frames": [4, 1]}, "Cosmos": {"target_rate": 24, "dim": [16, 0, 1280, 704], "frames": [8, 1]}, "Wan": {"target_rate": 16, "dim": [8, 0, 832, 480], "frames": [4, 1]}}}]}, "hidden": {"force_size": "STRING", "unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["video", "force_rate", "custom_width", "custom_height", "frame_load_cap", "start_time"], "optional": ["meta_batch", "vae", "format"], "hidden": ["force_size", "unique_id"]}, "is_input_list": false, "output": ["IMAGE", "MASK", "AUDIO", "VHS_VIDEOINFO"], "output_is_list": [false, false, false, false], "output_name": ["IMAGE", "mask", "audio", "video_info"], "name": "VHS_LoadVideoFFmpegPath", "display_name": "Load Video FFmpeg (Path) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Load Video FFmpeg (Path) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Loads a video from an arbitrary path using ffmpeg instead of opencv</div></div><div style=\"font-size: 0.8em\">Provides faster execution speed, transparency support, and allows specifying start time in seconds</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"meta_batch\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">meta_batch: (optional) Connect to a Meta Batch manager to divide extremely long sequences into sub batches. See the documentation for Meta Batch Manager</div></div><div vhs_title=\"vae\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">vae: (optional) If provided the node will output latents instead of images. This drastically reduces the required RAM (not VRAM) when working with long (100+ frames) sequences<div style=\"font-size: 1em\">Using this is strongly encouraged unless connecting to a node that requires a blue image connection such as Apply Controllnet</div></div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE: The loaded images</div></div><div vhs_title=\"mask\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">mask: Transparency data from the loaded video</div></div><div vhs_title=\"audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">audio: The audio from the loaded video</div></div><div vhs_title=\"video_info\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">video_info: Exposes additional info about the video such as the source frame rate, or the total length</div></div><div vhs_title=\"LATENT\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">LATENT: The loaded images pre-converted to latents. Only available when a vae is connected</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"video\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">video: The video file to be loaded.<div style=\"font-size: 1em\">You can also select an image to load it as a single frame</div><div style=\"font-size: 1em\">This is a VHS_PATH input. When edited, it provides a list of possible valid files or directories</div><div style=\"font-size: 1em\"><video preload=\"none\" src=https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite/assets/4284322/729b7185-1fca-41d8-bc8d-a770bb2a5ce6 muted loop controls controlslist=\"nodownload noremoteplayback noplaybackrate\" style=\"width: 0px; min-width: 100%\" class=\"VHS_loopedvideo\"></div><div style=\"font-size: 1em\">The current top-most completion may be selected with Tab</div><div style=\"font-size: 1em\">You can navigate up a directory by pressing Ctrl+B (or Ctrl+W if supported by browser)</div><div style=\"font-size: 1em\">The filter on suggested file types can be disabled by pressing Ctrl+G.</div><div style=\"font-size: 1em\">If converted to an input, this functions as a string</div></div></div><div vhs_title=\"force_rate\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">force_rate: Drops or duplicates frames so that the produced output has the target frame rate. Many motion models are trained on videos of a specific frame rate and will give better results if input matches that frame rate. If set to 0, all frames are returned. May give unusual results with inputs that have a variable frame rate like animated gifs. Reducing this value can also greatly reduce the execution time and memory requirements.</div></div><div vhs_title=\"force_size\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">force_size: Previously was used to provide suggested resolutions. Instead, custom_width and custom_height can be disabled by setting to 0.</div></div><div vhs_title=\"custom_width\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">custom_width: Allows for an arbitrary width to be entered, cropping to maintain aspect ratio if both are set</div></div><div vhs_title=\"custom_height\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">custom_height: Allows for an arbitrary height to be entered, cropping to maintain aspect ratio if both are set</div></div><div vhs_title=\"frame_load_cap\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">frame_load_cap: The maximum number of frames to load. If 0, all frames are loaded.</div></div><div vhs_title=\"skip_first_frames\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">skip_first_frames: A number of frames which are discarded before producing output.</div></div><div vhs_title=\"select_every_nth\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">select_every_nth: Similar to frame rate. Keeps only the first of every n frames and discard the rest. Has better compatibility with variable frame rate inputs such as gifs. When combined with force_rate, select_every_nth_applies after force_rate so the resulting output has a frame rate equivalent to force_rate/select_every_nth. select_every_nth does not apply to skip_first_frames</div></div><div vhs_title=\"format\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">format: Updates other widgets so that only values supported by the given format can be entered and provides recommended defaults.</div></div><div vhs_title=\"videopreview\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">videopreview: Displays a preview for the selected video input. Will only be shown if Advanced Previews is enabled. This preview will reflect the frame_load_cap, force_rate, skip_first_frames, and select_every_nth values chosen. If the video has audio, it will also be previewed when moused over. Additional preview options can be accessed with right click.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_LoadImagePath": {"input": {"required": {"image": ["STRING", {"placeholder": "X://insert/path/here.png", "vhs_path_extensions": [".jpg", ".webp", ".tif", ".tiff", ".png", ".jpeg", ".ppm", ".pgm", ".bmp"]}], "custom_width": ["INT", {"default": 0, "min": 0, "max": 8192, "step": 8, "disable": 0}], "custom_height": ["INT", {"default": 0, "min": 0, "max": 8192, "step": 8, "disable": 0}]}, "optional": {"vae": ["VAE"]}, "hidden": {"force_size": "STRING"}}, "input_order": {"required": ["image", "custom_width", "custom_height"], "optional": ["vae"], "hidden": ["force_size"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "mask"], "name": "VHS_LoadImagePath", "display_name": "Load Image (Path) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Load Image (Path) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Load a single image from a given path</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"vae\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">vae: (optional) If provided the node will output latents instead of images.</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE: The loaded images</div></div><div vhs_title=\"MASK\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">MASK: The alpha channel of the loaded images.</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"image\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">image: The image file to be loaded.<div style=\"font-size: 1em\">This is a VHS_PATH input. When edited, it provides a list of possible valid files or directories</div><div style=\"font-size: 1em\"><video preload=\"none\" src=https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite/assets/4284322/729b7185-1fca-41d8-bc8d-a770bb2a5ce6 muted loop controls controlslist=\"nodownload noremoteplayback noplaybackrate\" style=\"width: 0px; min-width: 100%\" class=\"VHS_loopedvideo\"></div><div style=\"font-size: 1em\">The current top-most completion may be selected with Tab</div><div style=\"font-size: 1em\">You can navigate up a directory by pressing Ctrl+B (or Ctrl+W if supported by browser)</div><div style=\"font-size: 1em\">The filter on suggested file types can be disabled by pressing Ctrl+G.</div><div style=\"font-size: 1em\">If converted to an input, this functions as a string</div></div></div><div vhs_title=\"force_size\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">force_size: Allows for conveniently scaling the input without requiring an additional node. Provides options to maintain aspect ratio or conveniently target common training formats for Animate Diff<div style=\"font-size: 1em\"><div vhs_title=\"custom_width\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">custom_width: Allows for an arbitrary width to be entered, cropping to maintain aspect ratio if both are set</div></div><div vhs_title=\"custom_height\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">custom_height: Allows for an arbitrary height to be entered, cropping to maintain aspect ratio if both are set</div></div></div></div></div><div vhs_title=\"videopreview\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">videopreview: Displays a preview for the selected video input. Will only be shown if Advanced Previews is enabled. This preview will reflect the image_load_cap, skip_first_images, and select_every_nth values chosen. Additional preview options can be accessed with right click.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_LoadImages": {"input": {"required": {"directory": [["3d", ".ipynb_checkpoints"]]}, "optional": {"image_load_cap": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1}], "skip_first_images": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1}], "select_every_nth": ["INT", {"default": 1, "min": 1, "max": 9007199254740991, "step": 1}], "meta_batch": ["VHS_BatchManager"]}, "hidden": {"unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["directory"], "optional": ["image_load_cap", "skip_first_images", "select_every_nth", "meta_batch"], "hidden": ["unique_id"]}, "is_input_list": false, "output": ["IMAGE", "MASK", "INT"], "output_is_list": [false, false, false], "output_name": ["IMAGE", "MASK", "frame_count"], "name": "VHS_LoadImages", "display_name": "Load Images (Upload) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Load Images \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Loads a sequence of images from a subdirectory of the input folder</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"meta_batch\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">meta_batch: (optional) Connect to a Meta Batch manager to divide extremely long sequences into sub batches. See the documentation for Meta Batch Manager</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE: The loaded images</div></div><div vhs_title=\"MASK\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">MASK: The alpha channel of the loaded images.</div></div><div vhs_title=\"frame_count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">frame_count: The length of images just returned</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"directory\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">directory: The directory images will be loaded from. Filtered to process jpg, png, ppm, bmp, tif, and webp files</div></div><div vhs_title=\"image_load_cap\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">image_load_cap: The maximum number of images to load. If 0, all images are loaded.</div></div><div vhs_title=\"start_time\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">start_time: A timestamp, in seconds from the start of the video, to start loading frames from. </div></div><div vhs_title=\"choose folder to upload\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">choose folder to upload: An upload button is provided to upload a local folder containing images to the input folder</div></div><div vhs_title=\"videopreview\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">videopreview: Displays a preview for the selected video input. Will only be shown if Advanced Previews is enabled. This preview will reflect the image_load_cap, skip_first_images, and select_every_nth values chosen. Additional preview options can be accessed with right click.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_LoadImagesPath": {"input": {"required": {"directory": ["STRING", {"placeholder": "X://path/to/images", "vhs_path_extensions": []}]}, "optional": {"image_load_cap": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1}], "skip_first_images": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1}], "select_every_nth": ["INT", {"default": 1, "min": 1, "max": 9007199254740991, "step": 1}], "meta_batch": ["VHS_BatchManager"]}, "hidden": {"unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["directory"], "optional": ["image_load_cap", "skip_first_images", "select_every_nth", "meta_batch"], "hidden": ["unique_id"]}, "is_input_list": false, "output": ["IMAGE", "MASK", "INT"], "output_is_list": [false, false, false], "output_name": ["IMAGE", "MASK", "frame_count"], "name": "VHS_LoadImagesPath", "display_name": "Load Images (Path) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Load Images (Path) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Loads a sequence of images from an arbitrary path</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"meta_batch\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">meta_batch: (optional) Connect to a Meta Batch manager to divide extremely long sequences into sub batches. See the documentation for Meta Batch Manager</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE: The loaded images</div></div><div vhs_title=\"MASK\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">MASK: The alpha channel of the loaded images.</div></div><div vhs_title=\"frame_count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">frame_count: The length of images just returned</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"directory\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">directory: The directory images will be loaded from. Filtered to process jpg, png, ppm, bmp, tif, and webp files<div style=\"font-size: 1em\">This is a VHS_PATH input. When edited, it provides a list of possible valid files or directories</div><div style=\"font-size: 1em\"><video preload=\"none\" src=https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite/assets/4284322/729b7185-1fca-41d8-bc8d-a770bb2a5ce6 muted loop controls controlslist=\"nodownload noremoteplayback noplaybackrate\" style=\"width: 0px; min-width: 100%\" class=\"VHS_loopedvideo\"></div><div style=\"font-size: 1em\">The current top-most completion may be selected with Tab</div><div style=\"font-size: 1em\">You can navigate up a directory by pressing Ctrl+B (or Ctrl+W if supported by browser)</div><div style=\"font-size: 1em\">The filter on suggested file types can be disabled by pressing Ctrl+G.</div><div style=\"font-size: 1em\">If converted to an input, this functions as a string</div></div></div><div vhs_title=\"image_load_cap\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">image_load_cap: The maximum number of images to load. If 0, all images are loaded.</div></div><div vhs_title=\"skip_first_images\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">skip_first_images: A number of images which are discarded before producing output.</div></div><div vhs_title=\"select_every_nth\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">select_every_nth: Keeps only the first of every n frames and discard the rest.</div></div><div vhs_title=\"videopreview\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">videopreview: Displays a preview for the selected video input. Will only be shown if Advanced Previews is enabled. This preview will reflect the image_load_cap, skip_first_images, and select_every_nth values chosen. Additional preview options can be accessed with right click.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_LoadAudio": {"input": {"required": {"audio_file": ["STRING", {"default": "input/", "vhs_path_extensions": ["wav", "mp3", "ogg", "m4a", "flac"]}]}, "optional": {"seek_seconds": ["FLOAT", {"default": 0, "min": 0, "widgetType": "VHSTIMESTAMP"}], "duration": ["FLOAT", {"default": 0, "min": 0, "max": 10000000, "step": 0.01, "widgetType": "VHSTIMESTAMP"}]}}, "input_order": {"required": ["audio_file"], "optional": ["seek_seconds", "duration"]}, "is_input_list": false, "output": ["AUDIO", "FLOAT"], "output_is_list": [false, false], "output_name": ["audio", "duration"], "name": "VHS_LoadAudio", "display_name": "Load Audio (Path)\ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Load Audio (Path) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Loads an audio file from an arbitrary path</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">audio: The loaded audio</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"audio_file\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">audio_file: The audio file to be loaded.<div style=\"font-size: 1em\">This is a VHS_PATH input. When edited, it provides a list of possible valid files or directories</div><div style=\"font-size: 1em\"><video preload=\"none\" src=https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite/assets/4284322/729b7185-1fca-41d8-bc8d-a770bb2a5ce6 muted loop controls controlslist=\"nodownload noremoteplayback noplaybackrate\" style=\"width: 0px; min-width: 100%\" class=\"VHS_loopedvideo\"></div><div style=\"font-size: 1em\">The current top-most completion may be selected with Tab</div><div style=\"font-size: 1em\">You can navigate up a directory by pressing Ctrl+B (or Ctrl+W if supported by browser)</div><div style=\"font-size: 1em\">The filter on suggested file types can be disabled by pressing Ctrl+G.</div><div style=\"font-size: 1em\">If converted to an input, this functions as a string</div></div></div><div vhs_title=\"seek_seconds\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">seek_seconds: An offset from the start of the sound file that the audio should start from</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/audio", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_LoadAudioUpload": {"input": {"required": {"audio": [[]]}, "optional": {"start_time": ["FLOAT", {"default": 0, "min": 0, "max": 10000000, "step": 0.01, "widgetType": "VHSTIMESTAMP"}], "duration": ["FLOAT", {"default": 0, "min": 0, "max": 10000000, "step": 0.01, "widgetType": "VHSTIMESTAMP"}]}}, "input_order": {"required": ["audio"], "optional": ["start_time", "duration"]}, "is_input_list": false, "output": ["AUDIO", "FLOAT"], "output_is_list": [false, false], "output_name": ["audio", "duration"], "name": "VHS_LoadAudioUpload", "display_name": "Load Audio (Upload)\ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Load Audio (Upload) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Loads an audio file from the input directory</div></div><div style=\"font-size: 0.8em\">Very similar in functionality to the built-in LoadAudio. It was originally added before VHS swapped to use Comfy's internal AUDIO format, but provides the additional options for start time and duration</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">audio: The loaded audio</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">audio: The audio file to be loaded.</div></div><div vhs_title=\"start_time\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">start_time: An offset from the start of the sound file that the audio should start from</div></div><div vhs_title=\"duration\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">duration: A maximum limit for the audio. Disabled if 0</div></div><div vhs_title=\"choose audio to upload\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">choose audio to upload: An upload button is provided to upload an audio file to the input folder</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/audio", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_AudioToVHSAudio": {"input": {"required": {"audio": ["AUDIO"]}}, "input_order": {"required": ["audio"]}, "is_input_list": false, "output": ["VHS_AUDIO"], "output_is_list": [false], "output_name": ["vhs_audio"], "name": "VHS_AudioToVHSAudio", "display_name": "Audio to legacy VHS_AUDIO\ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Audio to legacy VHS_AUDIO \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>utility function for compatibility with external nodes</div></div><div style=\"font-size: 0.8em\">VHS used to use an internal VHS_AUDIO format for routing audio between inputs and outputs. This format was intended to only be used internally and was designed with a focus on performance over ease of use. Since ComfyUI now has an internal AUDIO format, VHS now uses this format. However, some custom node packs were made that are external to both ComfyUI and VHS that use VHS_AUDIO. This node was added so that those external nodes can still function</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">audio: An input in the standardized AUDIO format</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"vhs_audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">vhs_audio: An output in the legacy VHS_AUDIO format for use with external nodes</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/audio", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_VHSAudioToAudio": {"input": {"required": {"vhs_audio": ["VHS_AUDIO"]}}, "input_order": {"required": ["vhs_audio"]}, "is_input_list": false, "output": ["AUDIO"], "output_is_list": [false], "output_name": ["audio"], "name": "VHS_VHSAudioToAudio", "display_name": "Legacy VHS_AUDIO to Audio\ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Legacy VHS_AUDIO to Audio \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>utility function for compatibility with external nodes</div></div><div style=\"font-size: 0.8em\">VHS used to use an internal VHS_AUDIO format for routing audio between inputs and outputs. This format was intended to only be used internally and was designed with a focus on performance over ease of use. Since ComfyUI now has an internal AUDIO format, VHS now uses this format. However, some custom node packs were made that are external to both ComfyUI and VHS that use VHS_AUDIO. This node was added so that those external nodes can still function</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"vhs_audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">vhs_audio: An input in the legacy VHS_AUDIO format produced by an external node</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"vhs_audio\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">vhs_audio: An output in the standardized AUDIO format</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/audio", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_PruneOutputs": {"input": {"required": {"filenames": ["VHS_FILENAMES"], "options": [["Intermediate", "Intermediate and Utility"]]}}, "input_order": {"required": ["filenames", "options"]}, "is_input_list": false, "output": [], "output_is_list": [], "output_name": [], "name": "VHS_PruneOutputs", "display_name": "Prune Outputs \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Prune Outputs \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Automates deletion of undesired outputs from a Video Combine node.</div></div><div style=\"font-size: 0.8em\">Video Combine produces a number of file outputs in addition to the final output. Some of these, such as a video file without audio included, are implementation limitations and are not feasible to solve. As an alternative, the Prune Outputs node is added to automate the deletion of these file outputs if they are not desired</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"filenames\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">filenames: A connection from a Video Combine node to indicate which outputs should be pruned</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"options\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">options: Which files should be deleted<div style=\"font-size: 1em\"><div vhs_title=\"Intermediate\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Intermediate: Delete any files that were required for intermediate processing but are not the final output, like the no-audio output file when audio is included</div></div><div vhs_title=\"Intermediate and Utility\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Intermediate and Utility: Delete all produced files that aren't the final output, including the first frame png</div></div></div></div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "VHS_BatchManager": {"input": {"required": {"frames_per_batch": ["INT", {"default": 16, "min": 1, "max": 9007199254740991, "step": 1}]}, "hidden": {"prompt": "PROMPT", "unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["frames_per_batch"], "hidden": ["prompt", "unique_id"]}, "is_input_list": false, "output": ["VHS_BatchManager"], "output_is_list": [false], "output_name": ["meta_batch"], "name": "VHS_BatchManager", "display_name": "Meta Batch Manager \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Meta Batch Manager \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Split the processing of a very long video into sets of smaller Meta Batches</div></div><div style=\"font-size: 0.8em\">The Meta Batch Manager allows for extremely long input videos to be processed when all other methods for fitting the content in RAM fail. It does not effect VRAM usage.</div><div style=\"font-size: 0.8em\">It must be connected to at least one Input (a Load Video or Load Images) AND at least one Video Combine</div><div style=\"font-size: 0.8em\"><img src=https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite/assets/4284322/7cb3fb7e-59d8-4cb2-a09f-9c6698de8b1f loading=lazy style=\"width: 0px; min-width: 100%\"></div><div style=\"font-size: 0.8em\">It functions by holding both the inputs and ouputs open between executions, and automatically requeue's the workflow until one of the inputs is unable to provide additional images.</div><div style=\"font-size: 0.8em\">Because each sub execution only contains a subset of the total frames, each sub execution creates a hard window which temporal smoothing can not be applied across. This results in jumps in the output.</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"meta_batch\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">meta_batch: Add all connected nodes to this Meta Batch</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"frames_per_batch\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">frames_per_batch: How many frames to process for each sub execution. If loading as image, each frame will use about 50MB of RAM (not VRAM), and this can safely be set in the 100-1000 range, depending on available memory. When loading and combining from latent space (no blue image noodles exist), this value can be much higher, around the 2,000 to 20,000 range</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_VideoInfo": {"input": {"required": {"video_info": ["VHS_VIDEOINFO"]}}, "input_order": {"required": ["video_info"]}, "is_input_list": false, "output": ["FLOAT", "INT", "FLOAT", "INT", "INT", "FLOAT", "INT", "FLOAT", "INT", "INT"], "output_is_list": [false, false, false, false, false, false, false, false, false, false], "output_name": ["source_fps\ud83d\udfe8", "source_frame_count\ud83d\udfe8", "source_duration\ud83d\udfe8", "source_width\ud83d\udfe8", "source_height\ud83d\udfe8", "loaded_fps\ud83d\udfe6", "loaded_frame_count\ud83d\udfe6", "loaded_duration\ud83d\udfe6", "loaded_width\ud83d\udfe6", "loaded_height\ud83d\udfe6"], "name": "VHS_VideoInfo", "display_name": "Video Info \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Video Info \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Splits information on a video into a numerous outputs</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"video_info\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">video_info: A connection to a Load Video node</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"source_fps\ud83d\udfe8\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">source_fps\ud83d\udfe8: The frame rate of the video</div></div><div vhs_title=\"source_frame_count\ud83d\udfe8\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">source_frame_count\ud83d\udfe8: How many total frames the video contains before accounting for frame rate or select_every_nth</div></div><div vhs_title=\"source_duration\ud83d\udfe8\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">source_duration\ud83d\udfe8: The length of images just returned in seconds</div></div><div vhs_title=\"source_width\ud83d\udfe8\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">source_width\ud83d\udfe8: The width</div></div><div vhs_title=\"source_height\ud83d\udfe8\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">source_height\ud83d\udfe8: The height</div></div><div vhs_title=\"loaded_fps\ud83d\udfe6\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">loaded_fps\ud83d\udfe6: The frame rate after accounting for force_rate and select_every_nth. This output is of particular use as it can be connected to the converted frame_rate input of a Video Combine node to ensure audio remains synchronized.</div></div><div vhs_title=\"loaded_frame_count\ud83d\udfe6\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">loaded_frame_count\ud83d\udfe6: The number of frames returned by the current execution. Identical to the frame_count returned by the node itself</div></div><div vhs_title=\"loaded_duration\ud83d\udfe6\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">loaded_duration\ud83d\udfe6: The duration in seconds of returned images after accounting for frame_load_cap</div></div><div vhs_title=\"loaded_width\ud83d\udfe6\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">loaded_width\ud83d\udfe6: The width of the video after scaling. These coordinates are in image space even if loading to latent space</div></div><div vhs_title=\"loaded_height\ud83d\udfe6\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">loaded_height\ud83d\udfe6: The height of the video after scaling. These coordinates are in image space even if loading to latent space</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_VideoInfoSource": {"input": {"required": {"video_info": ["VHS_VIDEOINFO"]}}, "input_order": {"required": ["video_info"]}, "is_input_list": false, "output": ["FLOAT", "INT", "FLOAT", "INT", "INT"], "output_is_list": [false, false, false, false, false], "output_name": ["fps\ud83d\udfe8", "frame_count\ud83d\udfe8", "duration\ud83d\udfe8", "width\ud83d\udfe8", "height\ud83d\udfe8"], "name": "VHS_VideoInfoSource", "display_name": "Video Info (Source) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Video Info Source \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Splits information on a video into a numerous outputs describing the file itself without accounting for load options</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"video_info\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">video_info: A connection to a Load Video node</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"source_fps\ud83d\udfe8\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">source_fps\ud83d\udfe8: The frame rate of the video</div></div><div vhs_title=\"source_frame_count\ud83d\udfe8\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">source_frame_count\ud83d\udfe8: How many total frames the video contains before accounting for frame rate or select_every_nth</div></div><div vhs_title=\"source_duration\ud83d\udfe8\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">source_duration\ud83d\udfe8: The length of images just returned in seconds</div></div><div vhs_title=\"source_width\ud83d\udfe8\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">source_width\ud83d\udfe8: The original width</div></div><div vhs_title=\"source_height\ud83d\udfe8\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">source_height\ud83d\udfe8: The original height</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_VideoInfoLoaded": {"input": {"required": {"video_info": ["VHS_VIDEOINFO"]}}, "input_order": {"required": ["video_info"]}, "is_input_list": false, "output": ["FLOAT", "INT", "FLOAT", "INT", "INT"], "output_is_list": [false, false, false, false, false], "output_name": ["fps\ud83d\udfe6", "frame_count\ud83d\udfe6", "duration\ud83d\udfe6", "width\ud83d\udfe6", "height\ud83d\udfe6"], "name": "VHS_VideoInfoLoaded", "display_name": "Video Info (Loaded) \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Video Info Loaded \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Splits information on a video into a numerous outputs describing the file itself after accounting for load options</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"video_info\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">video_info: A connection to a Load Video node</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"loaded_fps\ud83d\udfe6\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">loaded_fps\ud83d\udfe6: The frame rate after accounting for force_rate and select_every_nth. This output is of particular use as it can be connected to the converted frame_rate input of a Video Combine node to ensure audio remains synchronized.</div></div><div vhs_title=\"loaded_frame_count\ud83d\udfe6\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">loaded_frame_count\ud83d\udfe6: The number of frames returned by the current execution. Identical to the frame_count returned by the node itself</div></div><div vhs_title=\"loaded_duration\ud83d\udfe6\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">loaded_duration\ud83d\udfe6: The duration in seconds of returned images after accounting for frame_load_cap</div></div><div vhs_title=\"loaded_width\ud83d\udfe6\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">loaded_width\ud83d\udfe6: The width of the video after scaling. This is the dimension of the corresponding image even if loading as a latent directly</div></div><div vhs_title=\"loaded_height\ud83d\udfe6\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">loaded_height\ud83d\udfe6: The height of the video after scaling. This is the dimension of the corresponding image even if loading as a latent directly</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_SelectFilename": {"input": {"required": {"filenames": ["VHS_FILENAMES"], "index": ["INT", {"default": -1, "step": 1, "min": -1}]}}, "input_order": {"required": ["filenames", "index"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["Filename"], "name": "VHS_SelectFilename", "display_name": "Select Filename \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "VAE Select Filename \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Select a single filename from the VHS_FILENAMES output by a Video Combine and return it as a string</div></div><div style=\"font-size: 0.8em\">Take care when combining this node with Prune Outputs. The VHS_FILENAMES object is immutable and will always contain the full list of output files, but execution order is undefined behavior (currently, Prune Outputs will generally execute first) and SelectFilename may return a path to a file that no longer exists.</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"filenames\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">filenames: A VHS_FILENAMES from a Video Combine node</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"filename\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">filename: A string representation of the full output path for the chosen file</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"index\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">index: The index of which file should be selected. The default, -1, chooses the most complete output</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_VAEEncodeBatched": {"input": {"required": {"pixels": ["IMAGE"], "vae": ["VAE"], "per_batch": ["INT", {"default": 16, "min": 1}]}}, "input_order": {"required": ["pixels", "vae", "per_batch"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "VHS_VAEEncodeBatched", "display_name": "VAE Encode Batched \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "VAE Encode Batched \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Encode images as latents with a manually specified batch size.</div></div><div style=\"font-size: 0.8em\">Some people have ran into VRAM issues when encoding or decoding large batches of images. As a workaround, this node lets you manually set a batch size when encoding images.</div><div style=\"font-size: 0.8em\">Unless these issues have been encountered, it is simpler to use the native VAE Encode or to encode directly from a Load Video</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"pixels\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">pixels: The images to be encoded.</div></div><div vhs_title=\"vae\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">vae: The VAE to use when encoding.</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"LATENT\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">LATENT: The encoded latents.</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"per_batch\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">per_batch: The maximum number of images to encode in each batch.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/batched nodes", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_VAEDecodeBatched": {"input": {"required": {"samples": ["LATENT"], "vae": ["VAE"], "per_batch": ["INT", {"default": 16, "min": 1}]}}, "input_order": {"required": ["samples", "vae", "per_batch"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "VHS_VAEDecodeBatched", "display_name": "VAE Decode Batched \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "VAE Decode Batched \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Decode latents to images with a manually specified batch size</div></div><div style=\"font-size: 0.8em\">Some people have ran into VRAM issues when encoding or decoding large batches of images. As a workaround, this node lets you manually set a batch size when decoding latents.</div><div style=\"font-size: 0.8em\">Unless these issues have been encountered, it is simpler to use the native VAE Decode or to decode from a Video Combine directly</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"samples\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">samples: The latents to be decoded.</div></div><div vhs_title=\"vae\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">vae: The VAE to use when decoding.</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE: The decoded images.</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"per_batch\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">per_batch: The maximum number of images to decode in each batch.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/batched nodes", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_SplitLatents": {"input": {"required": {"latents": ["LATENT"], "split_index": ["INT", {"default": 0, "step": 1, "min": -9007199254740991, "max": 9007199254740991}]}}, "input_order": {"required": ["latents", "split_index"]}, "is_input_list": false, "output": ["LATENT", "INT", "LATENT", "INT"], "output_is_list": [false, false, false, false], "output_name": ["LATENT_A", "A_count", "LATENT_B", "B_count"], "name": "VHS_SplitLatents", "display_name": "Split Latents \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Split Latents \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Split a set of latents into two groups</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"latents\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">latents: The latents to be split.</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"LATENT_A\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">LATENT_A: The first group of latents</div></div><div vhs_title=\"A_count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">A_count: The number of latents in group A. This will be equal to split_index unless the latents input has length less than split_index</div></div><div vhs_title=\"LATENT_B\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">LATENT_B: The second group of latents</div></div><div vhs_title=\"B_count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">B_count: The number of latents in group B</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"split_index\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">split_index: The index of the first latent that will be in the second output groups.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/latent", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_SplitImages": {"input": {"required": {"images": ["IMAGE"], "split_index": ["INT", {"default": 0, "step": 1, "min": -9007199254740991, "max": 9007199254740991}]}}, "input_order": {"required": ["images", "split_index"]}, "is_input_list": false, "output": ["IMAGE", "INT", "IMAGE", "INT"], "output_is_list": [false, false, false, false], "output_name": ["IMAGE_A", "A_count", "IMAGE_B", "B_count"], "name": "VHS_SplitImages", "display_name": "Split Images \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Split Images \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Split a set of images into two groups</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"images\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">images: The images to be split.</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE_A\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE_A: The first group of images</div></div><div vhs_title=\"A_count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">A_count: The number of images in group A. This will be equal to split_index unless the images input has length less than split_index</div></div><div vhs_title=\"IMAGE_B\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE_B: The second group of images</div></div><div vhs_title=\"B_count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">B_count: The number of images in group B</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"split_index\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">split_index: The index of the first latent that will be in the second output groups.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_SplitMasks": {"input": {"required": {"mask": ["MASK"], "split_index": ["INT", {"default": 0, "step": 1, "min": -9007199254740991, "max": 9007199254740991}]}}, "input_order": {"required": ["mask", "split_index"]}, "is_input_list": false, "output": ["MASK", "INT", "MASK", "INT"], "output_is_list": [false, false, false, false], "output_name": ["MASK_A", "A_count", "MASK_B", "B_count"], "name": "VHS_SplitMasks", "display_name": "Split Masks \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Split Masks \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Split a set of masks into two groups</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"mask\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">mask: The masks to be split.</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"MASK_A\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">MASK_A: The first group of masks</div></div><div vhs_title=\"A_count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">A_count: The number of masks in group A. This will be equal to split_index unless the mask input has length less than split_index</div></div><div vhs_title=\"MASK_B\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">MASK_B: The second group of masks</div></div><div vhs_title=\"B_count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">B_count: The number of masks in group B</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"split_index\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">split_index: The index of the first latent that will be in the second output groups.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/mask", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_MergeLatents": {"input": {"required": {"latents_A": ["LATENT"], "latents_B": ["LATENT"], "merge_strategy": [["match A", "match B", "match smaller", "match larger"]], "scale_method": [["nearest-exact", "bilinear", "area", "bicubic", "bislerp"]], "crop": [["disabled", "center"]]}}, "input_order": {"required": ["latents_A", "latents_B", "merge_strategy", "scale_method", "crop"]}, "is_input_list": false, "output": ["LATENT", "INT"], "output_is_list": [false, false], "output_name": ["LATENT", "count"], "name": "VHS_MergeLatents", "display_name": "Merge Latents \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Merge Latents \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Combine two groups of latents into a single group of latents</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"latents_A\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">latents_A: The first group of latents</div></div><div vhs_title=\"latents_B\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">latents_B: The first group of latents</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"LATENT\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">LATENT: The combined group of latents</div></div><div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The length of the combined group</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"merge_strategy\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">merge_strategy: Determines what the output resolution will be if input resolutions don't match<div style=\"font-size: 1em\"><div vhs_title=\"match A\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match A: Always use the resolution for A</div></div><div vhs_title=\"match B\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match B: Always use the resolution for B</div></div><div vhs_title=\"match smaller\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match smaller: Pick the smaller resolution by area</div></div><div vhs_title=\"match larger\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match larger: Pick the larger resolution by area</div></div></div></div></div><div vhs_title=\"scale_method\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">scale_method: Determines what method to use if scaling is required</div></div><div vhs_title=\"crop\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">crop: When sizes don't match, should the resized image have it's aspect ratio changed, or be cropped to maintain aspect ratio</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/latent", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_MergeImages": {"input": {"required": {"images_A": ["IMAGE"], "images_B": ["IMAGE"], "merge_strategy": [["match A", "match B", "match smaller", "match larger"]], "scale_method": [["nearest-exact", "bilinear", "area", "bicubic", "bislerp"]], "crop": [["disabled", "center"]]}}, "input_order": {"required": ["images_A", "images_B", "merge_strategy", "scale_method", "crop"]}, "is_input_list": false, "output": ["IMAGE", "INT"], "output_is_list": [false, false], "output_name": ["IMAGE", "count"], "name": "VHS_MergeImages", "display_name": "Merge Images \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Merge Images \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Combine two groups of images into a single group of images</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"images_A\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">images_A: The first group of images</div></div><div vhs_title=\"images_B\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">images_B: The first group of images</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE: The combined group of images</div></div><div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The length of the combined group</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"merge_strategy\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">merge_strategy: Determines what the output resolution will be if input resolutions don't match<div style=\"font-size: 1em\"><div vhs_title=\"match A\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match A: Always use the resolution for A</div></div><div vhs_title=\"match B\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match B: Always use the resolution for B</div></div><div vhs_title=\"match smaller\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match smaller: Pick the smaller resolution by area</div></div><div vhs_title=\"match larger\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match larger: Pick the larger resolution by area</div></div></div></div></div><div vhs_title=\"scale_method\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">scale_method: Determines what method to use if scaling is required</div></div><div vhs_title=\"crop\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">crop: When sizes don't match, should the resized image have it's aspect ratio changed, or be cropped to maintain aspect ratio</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_MergeMasks": {"input": {"required": {"mask_A": ["MASK"], "mask_B": ["MASK"], "merge_strategy": [["match A", "match B", "match smaller", "match larger"]], "scale_method": [["nearest-exact", "bilinear", "area", "bicubic", "bislerp"]], "crop": [["disabled", "center"]]}}, "input_order": {"required": ["mask_A", "mask_B", "merge_strategy", "scale_method", "crop"]}, "is_input_list": false, "output": ["MASK", "INT"], "output_is_list": [false, false], "output_name": ["MASK", "count"], "name": "VHS_MergeMasks", "display_name": "Merge Masks \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Merge Masks \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Combine two groups of masks into a single group of masks</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"mask_A\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">mask_A: The first group of masks</div></div><div vhs_title=\"mask_B\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">mask_B: The first group of masks</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"MASK\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">MASK: The combined group of masks</div></div><div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The length of the combined group</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"merge_strategy\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">merge_strategy: Determines what the output resolution will be if input resolutions don't match<div style=\"font-size: 1em\"><div vhs_title=\"match A\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match A: Always use the resolution for A</div></div><div vhs_title=\"match B\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match B: Always use the resolution for B</div></div><div vhs_title=\"match smaller\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match smaller: Pick the smaller resolution by area</div></div><div vhs_title=\"match larger\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">match larger: Pick the larger resolution by area</div></div></div></div></div><div vhs_title=\"scale_method\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">scale_method: Determines what method to use if scaling is required</div></div><div vhs_title=\"crop\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">crop: When sizes don't match, should the resized image have it's aspect ratio changed, or be cropped to maintain aspect ratio</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/mask", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_GetLatentCount": {"input": {"required": {"latents": ["LATENT"]}}, "input_order": {"required": ["latents"]}, "is_input_list": false, "output": ["INT"], "output_is_list": [false], "output_name": ["count"], "name": "VHS_GetLatentCount", "display_name": "Get Latent Count \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Get Latent Count \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Return the number of latents in an input as an INT</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"latents\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">latents: The input latent</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The number of latents in the input</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/latent", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_GetImageCount": {"input": {"required": {"images": ["IMAGE"]}}, "input_order": {"required": ["images"]}, "is_input_list": false, "output": ["INT"], "output_is_list": [false], "output_name": ["count"], "name": "VHS_GetImageCount", "display_name": "Get Image Count \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Get Image Count \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Return the number of images in an input as an INT</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"images\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">images: The input image</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The number of images in the input</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_GetMaskCount": {"input": {"required": {"mask": ["MASK"]}}, "input_order": {"required": ["mask"]}, "is_input_list": false, "output": ["INT"], "output_is_list": [false], "output_name": ["count"], "name": "VHS_GetMaskCount", "display_name": "Get Mask Count \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Get Mask Count \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Return the number of masks in an input as an INT</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"masks\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">masks: The input mask</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The number of masks in the input</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/mask", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_DuplicateLatents": {"input": {"required": {"latents": ["LATENT"], "multiply_by": ["INT", {"default": 1, "min": 1, "max": 9007199254740991, "step": 1}]}}, "input_order": {"required": ["latents", "multiply_by"]}, "is_input_list": false, "output": ["LATENT", "INT"], "output_is_list": [false, false], "output_name": ["LATENT", "count"], "name": "VHS_DuplicateLatents", "display_name": "Repeat Latents \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Repeat Latents \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Append copies of a latent to itself so it repeats</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"latents\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">latents: The latents to be repeated</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"LATENT\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">LATENT: The latent with repeats</div></div><div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The number of latents in the output. Equal to the length of the input latent * multiply_by</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"multiply_by\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">multiply_by: Controls the number of times the latent should repeat. 1, the default, means no change.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/latent", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_DuplicateImages": {"input": {"required": {"images": ["IMAGE"], "multiply_by": ["INT", {"default": 1, "min": 1, "max": 9007199254740991, "step": 1}]}}, "input_order": {"required": ["images", "multiply_by"]}, "is_input_list": false, "output": ["IMAGE", "INT"], "output_is_list": [false, false], "output_name": ["IMAGE", "count"], "name": "VHS_DuplicateImages", "display_name": "Repeat Images \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Repeat Images \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Append copies of a image to itself so it repeats</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"IMAGES\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGES: The image to be repeated</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE: The image with repeats</div></div><div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The number of image in the output. Equal to the length of the input image * multiply_by</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"multiply_by\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">multiply_by: Controls the number of times the mask should repeat. 1, the default, means no change.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_DuplicateMasks": {"input": {"required": {"mask": ["MASK"], "multiply_by": ["INT", {"default": 1, "min": 1, "max": 9007199254740991, "step": 1}]}}, "input_order": {"required": ["mask", "multiply_by"]}, "is_input_list": false, "output": ["MASK", "INT"], "output_is_list": [false, false], "output_name": ["MASK", "count"], "name": "VHS_DuplicateMasks", "display_name": "Repeat Masks \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Repeat Masks \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Append copies of a mask to itself so it repeats</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"masks\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">masks: The masks to be repeated</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"LATENT\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">LATENT: The mask with repeats</div></div><div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The number of mask in the output. Equal to the length of the input mask * multiply_by</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"multiply_by\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">multiply_by: Controls the number of times the mask should repeat. 1, the default, means no change.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/mask", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_SelectEveryNthLatent": {"input": {"required": {"latents": ["LATENT"], "select_every_nth": ["INT", {"default": 1, "min": 1, "max": 9007199254740991, "step": 1}], "skip_first_latents": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1}]}}, "input_order": {"required": ["latents", "select_every_nth", "skip_first_latents"]}, "is_input_list": false, "output": ["LATENT", "INT"], "output_is_list": [false, false], "output_name": ["LATENT", "count"], "name": "VHS_SelectEveryNthLatent", "display_name": "Select Every Nth Latent \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Select Every Nth Latent \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Keep only 1 latent for every interval</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"latents\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">latents: The input latent</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"LATENT\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">LATENT: The output latents</div></div><div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The number of latents in the input</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"select_every_nth\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">select_every_nth: The interval from which one frame is kept. 1 means no frames are skipped.</div></div><div vhs_title=\"skip_first_latents\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">skip_first_latents: A number of frames which that is skipped from the start. This applies before select_every_nth. As a result, multiple copies of the node can each have a different skip_first_frames to divide the latent into groups</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/latent", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_SelectEveryNthImage": {"input": {"required": {"images": ["IMAGE"], "select_every_nth": ["INT", {"default": 1, "min": 1, "max": 9007199254740991, "step": 1}], "skip_first_images": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1}]}}, "input_order": {"required": ["images", "select_every_nth", "skip_first_images"]}, "is_input_list": false, "output": ["IMAGE", "INT"], "output_is_list": [false, false], "output_name": ["IMAGE", "count"], "name": "VHS_SelectEveryNthImage", "display_name": "Select Every Nth Image \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Select Every Nth Image \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Keep only 1 image for every interval</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"images\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">images: The input image</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"IMAGE\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">IMAGE: The output images</div></div><div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The number of images in the input</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"select_every_nth\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">select_every_nth: The interval from which one frame is kept. 1 means no frames are skipped.</div></div><div vhs_title=\"skip_first_images\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">skip_first_images: A number of frames which that is skipped from the start. This applies before select_every_nth. As a result, multiple copies of the node can each have a different skip_first_frames to divide the image into groups</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_SelectEveryNthMask": {"input": {"required": {"mask": ["MASK"], "select_every_nth": ["INT", {"default": 1, "min": 1, "max": 9007199254740991, "step": 1}], "skip_first_masks": ["INT", {"default": 0, "min": 0, "max": 9007199254740991, "step": 1}]}}, "input_order": {"required": ["mask", "select_every_nth", "skip_first_masks"]}, "is_input_list": false, "output": ["MASK", "INT"], "output_is_list": [false, false], "output_name": ["MASK", "count"], "name": "VHS_SelectEveryNthMask", "display_name": "Select Every Nth Mask \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Select Every Nth Mask \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Keep only 1 mask for every interval</div></div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"mask\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">mask: The input mask</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"MASK\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">MASK: The output mask</div></div><div vhs_title=\"count\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">count: The number of mask in the input</div></div></div></div><div vhs_title=\"Widgets\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Widgets: <div vhs_title=\"select_every_nth\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">select_every_nth: The interval from which one frame is kept. 1 means no frames are skipped.</div></div><div vhs_title=\"skip_first_mask\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">skip_first_mask: A number of frames which that is skipped from the start. This applies before select_every_nth. As a result, multiple copies of the node can each have a different skip_first_frames to divide the mask into groups</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/mask", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_SelectLatents": {"input": {"required": {"latent": ["LATENT"], "indexes": ["STRING", {"default": "0"}], "err_if_missing": ["BOOLEAN", {"default": true}], "err_if_empty": ["BOOLEAN", {"default": true}]}}, "input_order": {"required": ["latent", "indexes", "err_if_missing", "err_if_empty"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "VHS_SelectLatents", "display_name": "Select Latents \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Use comma-separated indexes to select items in the given order.\nSupports negative indexes, python-style ranges (end index excluded),\nas well as range step.\n\nAcceptable entries (assuming 16 items provided, so idxs 0 to 15 exist):\n0         -> Returns [0]\n-1        -> Returns [15]\n0, 1, 13  -> Returns [0, 1, 13]\n0:5, 13   -> Returns [0, 1, 2, 3, 4, 13]\n0:-1      -> Returns [0, 1, 2, ..., 13, 14]\n0:5:-1    -> Returns [4, 3, 2, 1, 0]\n0:5:2     -> Returns [0, 2, 4]\n::-1     -> Returns [15, 14, 13, ..., 2, 1, 0]\n", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/latent", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_SelectImages": {"input": {"required": {"image": ["IMAGE"], "indexes": ["STRING", {"default": "0"}], "err_if_missing": ["BOOLEAN", {"default": true}], "err_if_empty": ["BOOLEAN", {"default": true}]}}, "input_order": {"required": ["image", "indexes", "err_if_missing", "err_if_empty"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "VHS_SelectImages", "display_name": "Select Images \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Use comma-separated indexes to select items in the given order.\nSupports negative indexes, python-style ranges (end index excluded),\nas well as range step.\n\nAcceptable entries (assuming 16 items provided, so idxs 0 to 15 exist):\n0         -> Returns [0]\n-1        -> Returns [15]\n0, 1, 13  -> Returns [0, 1, 13]\n0:5, 13   -> Returns [0, 1, 2, 3, 4, 13]\n0:-1      -> Returns [0, 1, 2, ..., 13, 14]\n0:5:-1    -> Returns [4, 3, 2, 1, 0]\n0:5:2     -> Returns [0, 2, 4]\n::-1     -> Returns [15, 14, 13, ..., 2, 1, 0]\n", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_SelectMasks": {"input": {"required": {"mask": ["MASK"], "indexes": ["STRING", {"default": "0"}], "err_if_missing": ["BOOLEAN", {"default": true}], "err_if_empty": ["BOOLEAN", {"default": true}]}}, "input_order": {"required": ["mask", "indexes", "err_if_missing", "err_if_empty"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "VHS_SelectMasks", "display_name": "Select Masks \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Use comma-separated indexes to select items in the given order.\nSupports negative indexes, python-style ranges (end index excluded),\nas well as range step.\n\nAcceptable entries (assuming 16 items provided, so idxs 0 to 15 exist):\n0         -> Returns [0]\n-1        -> Returns [15]\n0, 1, 13  -> Returns [0, 1, 13]\n0:5, 13   -> Returns [0, 1, 2, 3, 4, 13]\n0:-1      -> Returns [0, 1, 2, ..., 13, 14]\n0:5:-1    -> Returns [4, 3, 2, 1, 0]\n0:5:2     -> Returns [0, 2, 4]\n::-1     -> Returns [15, 14, 13, ..., 2, 1, 0]\n", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62/mask", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_Unbatch": {"input": {"required": {"batched": ["*"]}}, "input_order": {"required": ["batched"]}, "is_input_list": true, "output": ["*"], "output_is_list": [false], "output_name": ["unbatched"], "name": "VHS_Unbatch", "display_name": "Unbatch \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Unbatch \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Unbatch a list of items into a single concatenated item</div></div><div style=\"font-size: 0.8em\">Useful for when you want a single video output from a complex workflow</div><div style=\"font-size: 0.8em\">Has no relation to the Meta Batch system of VHS</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"batched\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">batched: Any input which may or may not be batched</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"unbatched\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">unbatched: A single output element. Torch tensors are concatenated across dim 0, all other types are added which functions as concatenation for strings and arrays, but may give undesired results for other types</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VHS_SelectLatest": {"input": {"required": {"filename_prefix": ["STRING", {"default": "output/AnimateDiff", "vhs_path_extensions": []}], "filename_postfix": ["STRING", {"placeholder": ".webm"}]}}, "input_order": {"required": ["filename_prefix", "filename_postfix"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["Filename"], "name": "VHS_SelectLatest", "display_name": "Select Latest \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "description": "Select Latest \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62<div style=\"font-size: 0.8em\"><div id=VHS_shortdesc>Experimental virtual node to select the most recently modified file from a given folder</div></div><div style=\"font-size: 0.8em\">Assists in the creation of workflows where outputs from one execution are used elsewhere in subsequent executions.</div><div style=\"font-size: 0.8em\"><div vhs_title=\"Inputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Inputs: <div vhs_title=\"filename_prefix\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">filename_prefix: A path which can consist of a combination of folders and a prefix which candidate files must match</div></div><div vhs_title=\"filename_postfix\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">filename_postfix: A string which chich the selected file must end with. Useful for limiting to a target extension.</div></div></div></div><div vhs_title=\"Outputs\" style=\"display: flex; font-size: 0.8em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Outputs: <div vhs_title=\"Filename\" style=\"display: flex; font-size: 1em\" class=\"VHS_collapse\"><div style=\"color: #AAA; height: 1.5em;\">[<span style=\"font-family: monospace\">-</span>]</div><div style=\"width: 100%\">Filename: A string representing a file path to the most recently modified file.</div></div></div></div></div>", "python_module": "custom_nodes.ComfyUI-VideoHelperSuite", "category": "Video Helper Suite \ud83c\udfa5\ud83c\udd65\ud83c\udd57\ud83c\udd62", "output_node": false, "has_intermediate_output": false, "experimental": true, "search_aliases": []}, "CropWithPadInfo": {"input": {"required": {"image": ["IMAGE"], "pad_info": ["ANY"]}}, "input_order": {"required": ["image", "pad_info"]}, "is_input_list": false, "output": ["IMAGE", "FLOAT"], "output_is_list": [false, false], "output_name": ["cropped_image", "scale_by"], "name": "CropWithPadInfo", "display_name": "Crop With Pad Info", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "TextEncodeQwenImageEdit_lrzjason": {"input": {"required": {"clip": ["CLIP"], "prompt": ["STRING", {"multiline": true, "dynamicPrompts": true}]}, "optional": {"vae": ["VAE"], "image": ["IMAGE"], "enable_resize": ["BOOLEAN", {"default": true}], "resolution": [[2048, 1536, 1328, 1024, 768, 512], {"default": 1024}]}}, "input_order": {"required": ["clip", "prompt"], "optional": ["vae", "image", "enable_resize", "resolution"]}, "is_input_list": false, "output": ["CONDITIONING", "IMAGE", "LATENT"], "output_is_list": [false, false, false], "output_name": ["CONDITIONING", "IMAGE", "LATENT"], "name": "TextEncodeQwenImageEdit_lrzjason", "display_name": "TextEncodeQwenImageEdit lrzjason", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "TextEncodeQwenImageEditPlus_lrzjason": {"input": {"required": {"clip": ["CLIP"], "prompt": ["STRING", {"multiline": true, "dynamicPrompts": true}]}, "optional": {"vae": ["VAE"], "image1": ["IMAGE"], "image2": ["IMAGE"], "image3": ["IMAGE"], "image4": ["IMAGE"], "image5": ["IMAGE"], "enable_resize": ["BOOLEAN", {"default": true}], "enable_vl_resize": ["BOOLEAN", {"default": true}], "skip_first_image_resize": ["BOOLEAN", {"default": false}], "upscale_method": [["lanczos", "bicubic", "area"]], "crop": [["disabled", "center"]], "instruction": ["STRING", {"multiline": true, "default": "Describe the key features of the input image (color, shape, size, texture, objects, background), then explain how the user's text instruction should alter or modify the image. Generate a new image that meets the user's requirements while maintaining consistency with the original input where appropriate."}]}}, "input_order": {"required": ["clip", "prompt"], "optional": ["vae", "image1", "image2", "image3", "image4", "image5", "enable_resize", "enable_vl_resize", "skip_first_image_resize", "upscale_method", "crop", "instruction"]}, "is_input_list": false, "output": ["CONDITIONING", "IMAGE", "IMAGE", "IMAGE", "IMAGE", "IMAGE", "LATENT"], "output_is_list": [false, false, false, false, false, false, false], "output_name": ["conditioning", "image1", "image2", "image3", "image4", "image5", "latent"], "name": "TextEncodeQwenImageEditPlus_lrzjason", "display_name": "TextEncodeQwenImageEditPlus lrzjason", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "TextEncodeQwenImageEditPlusAdvance_lrzjason": {"input": {"required": {"clip": ["CLIP"], "prompt": ["STRING", {"multiline": true, "dynamicPrompts": true}]}, "optional": {"vae": ["VAE"], "vl_resize_image1": ["IMAGE"], "vl_resize_image2": ["IMAGE"], "vl_resize_image3": ["IMAGE"], "not_resize_image1": ["IMAGE"], "not_resize_image2": ["IMAGE"], "not_resize_image3": ["IMAGE"], "target_size": [[1024, 1344, 1536, 2048, 768, 512], {"default": 1024}], "target_vl_size": [[392, 384], {"default": 384}], "upscale_method": [["lanczos", "bicubic", "area"]], "crop_method": [["pad", "center", "disabled"]], "instruction": ["STRING", {"multiline": true, "default": "Describe the key features of the input image (color, shape, size, texture, objects, background), then explain how the user's text instruction should alter or modify the image. Generate a new image that meets the user's requirements while maintaining consistency with the original input where appropriate."}]}}, "input_order": {"required": ["clip", "prompt"], "optional": ["vae", "vl_resize_image1", "vl_resize_image2", "vl_resize_image3", "not_resize_image1", "not_resize_image2", "not_resize_image3", "target_size", "target_vl_size", "upscale_method", "crop_method", "instruction"]}, "is_input_list": false, "output": ["CONDITIONING", "LATENT", "IMAGE", "IMAGE", "IMAGE", "IMAGE", "IMAGE", "IMAGE", "CONDITIONING", "ANY"], "output_is_list": [false, false, false, false, false, false, false, false, false, false], "output_name": ["conditioning_with_full_ref", "latent", "target_image1", "target_image2", "target_image3", "vl_resized_image1", "vl_resized_image2", "vl_resized_image3", "conditioning_with_first_ref", "pad_info"], "name": "TextEncodeQwenImageEditPlusAdvance_lrzjason", "display_name": "TextEncodeQwenImageEditPlusAdvance lrzjason", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "TextEncodeQwenImageEditPlusPro_lrzjason": {"input": {"required": {"clip": ["CLIP"], "prompt": ["STRING", {"multiline": true, "dynamicPrompts": true}]}, "optional": {"vae": ["VAE"], "image1": ["IMAGE"], "image2": ["IMAGE"], "image3": ["IMAGE"], "image4": ["IMAGE"], "image5": ["IMAGE"], "vl_resize_indexs": ["STRING", {"default": "1,2,3"}], "main_image_index": ["INT", {"default": 1, "max": 5, "min": 1}], "target_size": [[1024, 1344, 1536, 2048, 768, 512], {"default": 1024}], "target_vl_size": [[392, 384], {"default": 384}], "upscale_method": [["lanczos", "bicubic", "area"]], "crop_method": [["pad", "center", "disabled"]], "instruction": ["STRING", {"multiline": true, "default": "Describe the key features of the input image (color, shape, size, texture, objects, background), then explain how the user's text instruction should alter or modify the image. Generate a new image that meets the user's requirements while maintaining consistency with the original input where appropriate."}]}}, "input_order": {"required": ["clip", "prompt"], "optional": ["vae", "image1", "image2", "image3", "image4", "image5", "vl_resize_indexs", "main_image_index", "target_size", "target_vl_size", "upscale_method", "crop_method", "instruction"]}, "is_input_list": false, "output": ["CONDITIONING", "LATENT", "IMAGE", "IMAGE", "IMAGE", "IMAGE", "IMAGE", "CONDITIONING", "ANY"], "output_is_list": [false, false, false, false, false, false, false, false, false], "output_name": ["conditioning_with_full_ref", "latent", "image1", "image2", "image3", "image4", "image5", "conditioning_with_main_ref", "pad_info"], "name": "TextEncodeQwenImageEditPlusPro_lrzjason", "display_name": "TextEncodeQwenImageEditPlusPro lrzjason", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "TextEncodeQwenImageEditPlusCustom_lrzjason": {"input": {"required": {"clip": ["CLIP"], "vae": ["VAE"], "prompt": ["STRING", {"multiline": true, "dynamicPrompts": true}], "configs": ["LIST", {"default": null}]}, "optional": {"return_full_refs_cond": ["BOOLEAN", {"default": true}], "instruction": ["STRING", {"multiline": true, "default": "Describe the key features of the input image (color, shape, size, texture, objects, background), then explain how the user's text instruction should alter or modify the image. Generate a new image that meets the user's requirements while maintaining consistency with the original input where appropriate."}]}}, "input_order": {"required": ["clip", "vae", "prompt", "configs"], "optional": ["return_full_refs_cond", "instruction"]}, "is_input_list": false, "output": ["CONDITIONING", "LATENT", "ANY"], "output_is_list": [false, false, false], "output_name": ["conditioning", "latent", "custom_output"], "name": "TextEncodeQwenImageEditPlusCustom_lrzjason", "display_name": "TextEncodeQwenImageEditPlusCustom lrzjason", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "QwenEditOutputExtractor": {"input": {"required": {"custom_output": ["ANY"]}}, "input_order": {"required": ["custom_output"]}, "is_input_list": false, "output": ["ANY", "CONDITIONING", "CONDITIONING", "IMAGE", "LIST", "LIST", "LIST", "STRING", "STRING", "CONDITIONING", "MASK"], "output_is_list": [false, false, false, false, false, false, false, false, false, false, false], "output_name": ["pad_info", "full_refs_cond", "main_ref_cond", "main_image", "vae_images", "ref_latents", "vl_images", "full_prompt", "llama_template", "no_refs_cond", "mask"], "name": "QwenEditOutputExtractor", "display_name": "Qwen Edit Output Extractor", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "QwenEditConfigPreparer": {"input": {"required": {"image": ["IMAGE"]}, "optional": {"configs": ["LIST", {"default": null, "tooltip": "Configs list"}], "to_ref": ["BOOLEAN", {"default": true, "tooltip": "Add image to reference latent"}], "ref_main_image": ["BOOLEAN", {"default": true, "tooltip": "Set image as main image which would return the latent as output."}], "ref_longest_edge": ["INT", {"default": 1024, "min": 64, "max": 4096, "step": 1, "tooltip": "Longest edge of the output latent"}], "ref_crop": [["pad", "center", "disabled"], {"default": "pad", "tooltip": "Crop method for reference image"}], "ref_upscale": [["lanczos", "bicubic", "area"], {"default": "lanczos", "tooltip": "Upscale method for reference image"}], "to_vl": ["BOOLEAN", {"default": true, "tooltip": "Add image to qwenvl 2.5 encode"}], "vl_resize": ["BOOLEAN", {"default": true, "tooltip": "Resize image before qwenvl 2.5 encode"}], "vl_target_size": ["INT", {"default": 384, "min": 384, "max": 2048, "tooltip": "Target size of the qwenvl 2.5 encode"}], "vl_crop": [["center", "disabled"], {"default": "center", "tooltip": "Crop method for reference image"}], "vl_upscale": [["lanczos", "bicubic", "area"], {"default": "lanczos", "tooltip": "Upscale method for reference image"}], "mask": ["MASK"]}}, "input_order": {"required": ["image"], "optional": ["configs", "to_ref", "ref_main_image", "ref_longest_edge", "ref_crop", "ref_upscale", "to_vl", "vl_resize", "vl_target_size", "vl_crop", "vl_upscale", "mask"]}, "is_input_list": false, "output": ["LIST", "ANY"], "output_is_list": [false, false], "output_name": ["configs", "config"], "name": "QwenEditConfigPreparer", "display_name": "Qwen Edit Config Preparer", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "QwenEditConfigJsonParser": {"input": {"required": {"image": ["IMAGE"]}, "optional": {"configs": ["LIST", {"default": null, "tooltip": "Configs list"}], "config_json": ["STRING", {"default": "{\n    \"to_ref\": true,\n    \"ref_main_image\": false,\n    \"ref_longest_edge\": 1024,\n    \"ref_crop\": \"center\",\n    \"ref_upscale\": \"lanczos\",\n    \"to_vl\": true,\n    \"vl_resize\": true,\n    \"vl_target_size\": 384,\n    \"vl_crop\": \"center\",\n    \"vl_upscale\": \"bicubic\"\n}", "multiline": true, "tooltip": "Config JSON String"}], "mask": ["MASK"]}}, "input_order": {"required": ["image"], "optional": ["configs", "config_json", "mask"]}, "is_input_list": false, "output": ["LIST", "ANY"], "output_is_list": [false, false], "output_name": ["configs", "config"], "name": "QwenEditConfigJsonParser", "display_name": "Qwen Edit Config Json Parser", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "QwenEditListExtractor": {"input": {"required": {"items": ["LIST"], "index": ["INT", {"default": 0, "min": 0, "max": 1000000, "step": 1, "tooltip": "Index of the image"}]}}, "input_order": {"required": ["items", "index"]}, "is_input_list": false, "output": ["ANY"], "output_is_list": [false], "output_name": ["item"], "name": "QwenEditListExtractor", "display_name": "Qwen Edit List Extractor", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "QwenEditAny2Image": {"input": {"required": {"item": ["ANY"]}}, "input_order": {"required": ["item"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["item"], "name": "QwenEditAny2Image", "display_name": "Qwen Edit Any2Image", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "QwenEditAny2Latent": {"input": {"required": {"item": ["ANY"]}}, "input_order": {"required": ["item"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["item"], "name": "QwenEditAny2Latent", "display_name": "Qwen Edit Any2Latent", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "QwenEditAdaptiveLongestEdge": {"input": {"required": {"image": ["IMAGE"], "max_size": ["INT", {"default": 2048, "min": 512, "max": 4096, "step": 1, "tooltip": "When image is larger than max_size, it will be resized to under the max_size."}]}}, "input_order": {"required": ["image", "max_size"]}, "is_input_list": false, "output": ["INT"], "output_is_list": [false], "output_name": ["longest_edge"], "name": "QwenEditAdaptiveLongestEdge", "display_name": "Qwen Edit Adaptive Longest Edge", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "advanced/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "LoadImageReturnFilename": {"input": {"required": {"image": [["2.png", "RunComFy_examples_1384_1.png", "RunComfy_examples_1384_1.png", "RunComfy_examples_1386_1.jpg", "RunComfy_examples_1386_2.jpg", "RunComfy_examples_1386_3.jpg", "RunComfy_examples_1386_4.jpg", "RunComfy_examples_1386_5.jpg", "Runcomfy_example_1277.png", "example.png", "ref.jpg"], {"image_upload": true}]}}, "input_order": {"required": ["image"]}, "is_input_list": false, "output": ["IMAGE", "MASK", "STRING"], "output_is_list": [false, false, false], "output_name": ["image", "mask", "filename"], "name": "LoadImageReturnFilename", "display_name": "Load Image Return Filename", "description": "", "python_module": "custom_nodes.Comfyui-QwenEditUtils", "category": "image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "LanPaint_KSampler": {"input": {"required": {"model": ["MODEL", {"tooltip": "The model used for denoising the input latent."}], "seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615, "tooltip": "The random seed used for creating the noise."}], "steps": ["INT", {"default": 30, "min": 1, "max": 10000, "tooltip": "The number of steps used in the denoising process."}], "cfg": ["FLOAT", {"default": 5.0, "min": 0.0, "max": 100.0, "step": 0.1, "round": 0.01, "tooltip": "The Classifier-Free Guidance scale balances creativity and adherence to the prompt. Higher values result in images more closely matching the prompt however too high values will negatively impact quality."}], "sampler_name": [["euler", "euler_ancestral", "heun", "heunpp2", "dpm_2", "dpm_2_ancestral", "dpm_fast", "dpmpp_sde", "dpmpp_sde_gpu", "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "deis", "res_multistep", "res_multistep_ancestral", "gradient_estimation", "er_sde", "seeds_2", "seeds_3"], {"tooltip": "Recommended: euler."}], "scheduler": [["simple", "sgm_uniform", "karras", "exponential", "ddim_uniform", "beta", "normal", "linear_quadratic", "kl_optimal"], {"default": "karras", "tooltip": "The scheduler controls how noise is gradually removed to form the image."}], "positive": ["CONDITIONING", {"tooltip": "The conditioning describing the attributes you want to include in the image."}], "negative": ["CONDITIONING", {"tooltip": "The conditioning describing the attributes you want to exclude from the image."}], "latent_image": ["LATENT", {"tooltip": "The latent image to denoise."}], "denoise": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "The amount of denoising applied, lower values will maintain the structure of the initial image allowing for image to image sampling."}], "LanPaint_NumSteps": ["INT", {"default": 5, "min": 0, "max": 100, "tooltip": "The number of steps for the Langevin dynamics, representing the turns of thinking per step."}], "LanPaint_PromptMode": [["Image First", "Prompt First"], {"tooltip": "Image First: emphasis image quality, Prompt First: emphasis prompt following"}], "LanPaint_Info": ["STRING", {"default": "LanPaint KSampler. For more info, visit https://github.com/scraed/LanPaint. If you find it useful, please give a star \u2b50\ufe0f!", "multiline": true}], "Inpainting_mode": [["\ud83d\uddbc\ufe0f Image Inpainting", "\ud83c\udfac Video Inpainting"], {"default": "\ud83d\uddbc\ufe0f Image Inpainting", "tooltip": "Choose Image mode for photos or Video mode for video frames with temporal consistency"}]}}, "input_order": {"required": ["model", "seed", "steps", "cfg", "sampler_name", "scheduler", "positive", "negative", "latent_image", "denoise", "LanPaint_NumSteps", "LanPaint_PromptMode", "LanPaint_Info", "Inpainting_mode"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "LanPaint_KSampler", "display_name": "LanPaint KSampler", "description": "Uses the provided model, positive and negative conditioning to denoise the latent image.", "python_module": "custom_nodes.LanPaint", "category": "sampling", "output_node": false, "has_intermediate_output": false, "output_tooltips": ["The denoised latent."], "search_aliases": []}, "LanPaint_KSamplerAdvanced": {"input": {"required": {"model": ["MODEL"], "add_noise": [["enable", "disable"]], "noise_seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615}], "steps": ["INT", {"default": 30, "min": 1, "max": 10000}], "cfg": ["FLOAT", {"default": 5.0, "min": 0.0, "max": 100.0, "step": 0.1, "round": 0.01}], "sampler_name": [["euler", "euler_ancestral", "heun", "heunpp2", "dpm_2", "dpm_2_ancestral", "dpm_fast", "dpmpp_sde", "dpmpp_sde_gpu", "dpmpp_2m", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "deis", "res_multistep", "res_multistep_ancestral", "gradient_estimation", "er_sde", "seeds_2", "seeds_3"]], "scheduler": [["simple", "sgm_uniform", "karras", "exponential", "ddim_uniform", "beta", "normal", "linear_quadratic", "kl_optimal"]], "positive": ["CONDITIONING"], "negative": ["CONDITIONING"], "latent_image": ["LATENT"], "start_at_step": ["INT", {"default": 0, "min": 0, "max": 10000}], "end_at_step": ["INT", {"default": 10000, "min": 0, "max": 10000}], "return_with_leftover_noise": [["disable", "enable"]], "LanPaint_NumSteps": ["INT", {"default": 5, "min": 0, "max": 100, "tooltip": "The number of steps for the Langevin dynamics, representing the turns of thinking per step."}], "LanPaint_Lambda": ["FLOAT", {"default": 16.0, "min": 0.1, "max": 50.0, "step": 0.1, "round": 0.1, "tooltip": "The bidirectional guidance scale. Higher values align with known regions more closely, but may result in instability."}], "LanPaint_StepSize": ["FLOAT", {"default": 0.2, "min": 0.0001, "max": 1.0, "step": 0.01, "round": 0.001, "tooltip": "The step size for the Langevin dynamics. Higher values result in faster convergence but may be unstable."}], "LanPaint_Beta": ["FLOAT", {"default": 1.0, "min": 0.0001, "max": 5, "step": 0.1, "round": 0.1, "tooltip": "The step size ratio between masked / unmasked regions. Lower value can compensate high values of LanPaint_Lambda."}], "LanPaint_Friction": ["FLOAT", {"default": 15, "min": 0.0, "max": 50.0, "step": 0.1, "round": 0.1, "tooltip": "The friction parameter for fast langevin, lower values result in faster convergence but may be unstable."}], "LanPaint_PromptMode": [["Image First", "Prompt First"], {"tooltip": "Image First: emphasis image quality, Prompt First: emphasis prompt following"}], "LanPaint_EarlyStop": ["INT", {"default": 1, "min": 0, "max": 10000, "tooltip": "The number of steps to stop the LanPaint early, useful for preventing the image from irregular patterns."}], "LanPaint_Info": ["STRING", {"default": "LanPaint KSampler Adv. For more info, visit https://github.com/scraed/LanPaint. If you find it useful, please give a star \u2b50\ufe0f!", "multiline": true}], "Inpainting_mode": [["\ud83d\uddbc\ufe0f Image Inpainting", "\ud83c\udfac Video Inpainting"], {"default": "\ud83d\uddbc\ufe0f Image Inpainting", "tooltip": "Choose Image mode for photos or Video mode for video frames with temporal consistency"}], "LanPaint_InnerThreshold": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.0001, "round": 0.0001, "tooltip": "Early stop threshold for Langevin iterations based on semantic distance. 0.0 to disable. (Contributed by godnight10061)"}], "LanPaint_InnerPatience": ["INT", {"default": 1, "min": 1, "max": 100, "tooltip": "Number of consecutive steps below threshold required to stop. (Contributed by godnight10061)"}]}}, "input_order": {"required": ["model", "add_noise", "noise_seed", "steps", "cfg", "sampler_name", "scheduler", "positive", "negative", "latent_image", "start_at_step", "end_at_step", "return_with_leftover_noise", "LanPaint_NumSteps", "LanPaint_Lambda", "LanPaint_StepSize", "LanPaint_Beta", "LanPaint_Friction", "LanPaint_PromptMode", "LanPaint_EarlyStop", "LanPaint_Info", "Inpainting_mode", "LanPaint_InnerThreshold", "LanPaint_InnerPatience"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "LanPaint_KSamplerAdvanced", "display_name": "LanPaint KSampler (Advanced)", "description": "", "python_module": "custom_nodes.LanPaint", "category": "sampling", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "LanPaint_SamplerCustom": {"input": {"required": {"model": ["MODEL"], "add_noise": ["BOOLEAN", {"default": true}], "noise_seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615, "control_after_generate": true}], "cfg": ["FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "step": 0.1, "round": 0.01}], "positive": ["CONDITIONING"], "negative": ["CONDITIONING"], "sampler": ["SAMPLER"], "sigmas": ["SIGMAS"], "latent_image": ["LATENT"], "LanPaint_NumSteps": ["INT", {"default": 5, "min": 0, "max": 100, "tooltip": "Number of steps for Langevin dynamics, representing turns of thinking per step."}], "LanPaint_PromptMode": [["Image First", "Prompt First"], {"tooltip": "Image First: prioritizes image quality; Prompt First: prioritizes prompt adherence."}], "LanPaint_Info": ["STRING", {"default": "LanPaint Custom Sampler. For more info, visit https://github.com/scraed/LanPaint. If you find it useful, please give a star \u2b50\ufe0f!", "multiline": true}]}}, "input_order": {"required": ["model", "add_noise", "noise_seed", "cfg", "positive", "negative", "sampler", "sigmas", "latent_image", "LanPaint_NumSteps", "LanPaint_PromptMode", "LanPaint_Info"]}, "is_input_list": false, "output": ["LATENT", "LATENT"], "output_is_list": [false, false], "output_name": ["output", "denoised_output"], "name": "LanPaint_SamplerCustom", "display_name": "LanPaint Sampler Custom", "description": "", "python_module": "custom_nodes.LanPaint", "category": "sampling/custom_sampling", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "LanPaint_SamplerCustomAdvanced": {"input": {"required": {"noise": ["NOISE"], "guider": ["GUIDER"], "sampler": ["SAMPLER"], "sigmas": ["SIGMAS"], "latent_image": ["LATENT"], "LanPaint_NumSteps": ["INT", {"default": 5, "min": 0, "max": 100, "tooltip": "Number of steps for Langevin dynamics, representing turns of thinking per step."}], "LanPaint_Lambda": ["FLOAT", {"default": 16.0, "min": 0.1, "max": 50.0, "step": 0.1, "tooltip": "Bidirectional guidance scale. Higher values align with known regions but may cause instability."}], "LanPaint_StepSize": ["FLOAT", {"default": 0.2, "min": 0.0001, "max": 1.0, "step": 0.01, "tooltip": "Step size for Langevin dynamics. Higher values speed convergence but may be unstable."}], "LanPaint_Beta": ["FLOAT", {"default": 1.0, "min": 0.0001, "max": 5.0, "step": 0.1, "tooltip": "Step size ratio between masked/unmasked regions. Lower values balance high Lambda."}], "LanPaint_Friction": ["FLOAT", {"default": 15.0, "min": 0.0, "max": 50.0, "step": 0.1, "tooltip": "Friction parameter for fast Langevin. Lower values speed convergence but may be unstable."}], "LanPaint_PromptMode": [["Image First", "Prompt First"], {"tooltip": "Image First: prioritizes image quality; Prompt First: prioritizes prompt adherence."}], "LanPaint_EarlyStop": ["INT", {"default": 1, "min": 0, "max": 10000, "tooltip": "Steps to stop LanPaint early, preventing irregular patterns."}], "LanPaint_Info": ["STRING", {"default": "LanPaint Custom Sampler Adv. For more info, visit https://github.com/scraed/LanPaint. If you find it useful, please give a star \u2b50\ufe0f!", "multiline": true}], "LanPaint_InnerThreshold": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.0001, "round": 0.0001, "tooltip": "Early stop threshold for Langevin iterations based on semantic distance. 0.0 to disable. (Contributed by godnight10061)"}], "LanPaint_InnerPatience": ["INT", {"default": 1, "min": 1, "max": 100, "tooltip": "Number of consecutive steps below threshold required to stop. (Contributed by godnight10061)"}]}}, "input_order": {"required": ["noise", "guider", "sampler", "sigmas", "latent_image", "LanPaint_NumSteps", "LanPaint_Lambda", "LanPaint_StepSize", "LanPaint_Beta", "LanPaint_Friction", "LanPaint_PromptMode", "LanPaint_EarlyStop", "LanPaint_Info", "LanPaint_InnerThreshold", "LanPaint_InnerPatience"]}, "is_input_list": false, "output": ["LATENT", "LATENT"], "output_is_list": [false, false], "output_name": ["output", "denoised_output"], "name": "LanPaint_SamplerCustomAdvanced", "display_name": "LanPaint Sampler Custom (Advanced)", "description": "", "python_module": "custom_nodes.LanPaint", "category": "sampling/custom_sampling", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "LanPaint_MaskBlend": {"input": {"required": {"image1": ["IMAGE", {"tooltip": "Image before inpaint"}], "image2": ["IMAGE", {"tooltip": "Image after inpaint"}], "mask": ["MASK"], "blend_overlap": ["INT", {"default": 1, "min": 1, "max": 51, "step": 2, "tooltip": "The number of pixels to blend between the two images."}]}}, "input_order": {"required": ["image1", "image2", "mask", "blend_overlap"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "LanPaint_MaskBlend", "display_name": "LanPaint Mask Blend", "description": "", "python_module": "custom_nodes.LanPaint", "category": "image/postprocessing", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "AdvancedLivePortrait": {"input": {"required": {"retargeting_eyes": ["FLOAT", {"default": 0, "min": 0, "max": 1, "step": 0.01}], "retargeting_mouth": ["FLOAT", {"default": 0, "min": 0, "max": 1, "step": 0.01}], "crop_factor": ["FLOAT", {"default": 2, "min": 1.5, "max": 3, "step": 0.1}], "turn_on": ["BOOLEAN", {"default": true}], "command": ["STRING", {"multiline": true, "default": ""}]}, "optional": {"src_images": ["IMAGE"], "motion_link": ["EDITOR_LINK"], "driving_images": ["IMAGE"]}}, "input_order": {"required": ["retargeting_eyes", "retargeting_mouth", "crop_factor", "turn_on", "command"], "optional": ["src_images", "motion_link", "driving_images"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["images"], "name": "AdvancedLivePortrait", "display_name": "Advanced Live Portrait (PHM)", "description": "", "python_module": "custom_nodes.comfyui-advancedliveportrait", "category": "AdvancedLivePortrait", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "ExpressionEditor": {"input": {"required": {"rotate_pitch": ["FLOAT", {"default": 0, "min": -20, "max": 20, "step": 0.5, "display": "number"}], "rotate_yaw": ["FLOAT", {"default": 0, "min": -20, "max": 20, "step": 0.5, "display": "number"}], "rotate_roll": ["FLOAT", {"default": 0, "min": -20, "max": 20, "step": 0.5, "display": "number"}], "blink": ["FLOAT", {"default": 0, "min": -20, "max": 5, "step": 0.5, "display": "number"}], "eyebrow": ["FLOAT", {"default": 0, "min": -10, "max": 15, "step": 0.5, "display": "number"}], "wink": ["FLOAT", {"default": 0, "min": 0, "max": 25, "step": 0.5, "display": "number"}], "pupil_x": ["FLOAT", {"default": 0, "min": -15, "max": 15, "step": 0.5, "display": "number"}], "pupil_y": ["FLOAT", {"default": 0, "min": -15, "max": 15, "step": 0.5, "display": "number"}], "aaa": ["FLOAT", {"default": 0, "min": -30, "max": 120, "step": 1, "display": "number"}], "eee": ["FLOAT", {"default": 0, "min": -20, "max": 15, "step": 0.2, "display": "number"}], "woo": ["FLOAT", {"default": 0, "min": -20, "max": 15, "step": 0.2, "display": "number"}], "smile": ["FLOAT", {"default": 0, "min": -0.3, "max": 1.3, "step": 0.01, "display": "number"}], "src_ratio": ["FLOAT", {"default": 1, "min": 0, "max": 1, "step": 0.01, "display": "number"}], "sample_ratio": ["FLOAT", {"default": 1, "min": 0, "max": 1, "step": 0.01, "display": "number"}], "crop_factor": ["FLOAT", {"default": 2, "min": 1.5, "max": 3, "step": 0.1, "display": "number"}]}, "optional": {"src_image": ["IMAGE"], "motion_link": ["EDITOR_LINK"], "sample_image": ["IMAGE"], "add_exp": ["EXP_DATA"]}}, "input_order": {"required": ["rotate_pitch", "rotate_yaw", "rotate_roll", "blink", "eyebrow", "wink", "pupil_x", "pupil_y", "aaa", "eee", "woo", "smile", "src_ratio", "sample_ratio", "crop_factor"], "optional": ["src_image", "motion_link", "sample_image", "add_exp"]}, "is_input_list": false, "output": ["IMAGE", "EDITOR_LINK", "EXP_DATA"], "output_is_list": [false, false, false], "output_name": ["image", "motion_link", "save_exp"], "name": "ExpressionEditor", "display_name": "Expression Editor (PHM)", "description": "", "python_module": "custom_nodes.comfyui-advancedliveportrait", "category": "AdvancedLivePortrait", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "LoadExpData": {"input": {"required": {"file_name": [[]], "ratio": ["FLOAT", {"default": 1, "min": 0, "max": 1, "step": 0.01}]}}, "input_order": {"required": ["file_name", "ratio"]}, "is_input_list": false, "output": ["EXP_DATA"], "output_is_list": [false], "output_name": ["exp"], "name": "LoadExpData", "display_name": "Load Exp Data (PHM)", "description": "", "python_module": "custom_nodes.comfyui-advancedliveportrait", "category": "AdvancedLivePortrait", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SaveExpData": {"input": {"required": {"file_name": ["STRING", {"multiline": false, "default": ""}]}, "optional": {"save_exp": ["EXP_DATA"]}}, "input_order": {"required": ["file_name"], "optional": ["save_exp"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["file_name"], "name": "SaveExpData", "display_name": "Save Exp Data (PHM)", "description": "", "python_module": "custom_nodes.comfyui-advancedliveportrait", "category": "AdvancedLivePortrait", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "ExpData": {"input": {"required": {"code1": ["INT", {"default": 0}], "value1": ["FLOAT", {"default": 0, "min": -100, "max": 100, "step": 0.1}], "code2": ["INT", {"default": 0}], "value2": ["FLOAT", {"default": 0, "min": -100, "max": 100, "step": 0.1}], "code3": ["INT", {"default": 0}], "value3": ["FLOAT", {"default": 0, "min": -100, "max": 100, "step": 0.1}], "code4": ["INT", {"default": 0}], "value4": ["FLOAT", {"default": 0, "min": -100, "max": 100, "step": 0.1}], "code5": ["INT", {"default": 0}], "value5": ["FLOAT", {"default": 0, "min": -100, "max": 100, "step": 0.1}]}, "optional": {"add_exp": ["EXP_DATA"]}}, "input_order": {"required": ["code1", "value1", "code2", "value2", "code3", "value3", "code4", "value4", "code5", "value5"], "optional": ["add_exp"]}, "is_input_list": false, "output": ["EXP_DATA"], "output_is_list": [false], "output_name": ["exp"], "name": "ExpData", "display_name": "ExpData", "description": "", "python_module": "custom_nodes.comfyui-advancedliveportrait", "category": "AdvancedLivePortrait", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "PrintExpData:": {"input": {"required": {"cut_noise": ["FLOAT", {"default": 0, "min": 0, "max": 100, "step": 0.1}]}, "optional": {"exp": ["EXP_DATA"]}}, "input_order": {"required": ["cut_noise"], "optional": ["exp"]}, "is_input_list": false, "output": ["EXP_DATA"], "output_is_list": [false], "output_name": ["exp"], "name": "PrintExpData:", "display_name": "PrintExpData:", "description": "", "python_module": "custom_nodes.comfyui-advancedliveportrait", "category": "AdvancedLivePortrait", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "SAMLoader": {"input": {"required": {"model_name": [["mobile_sam.pt", "sam2_hiera_base_plus.pt", "sam2_hiera_large.pt", "sam2_hiera_small.pt", "sam2_hiera_tiny.pt", "sam_vit_b_01ec64.pth", "sam_vit_h_4b8939.pth", "sam_vit_l_0b3195.pth"], {"tooltip": "The detection accuracy varies depending on the SAM model. ESAM can only be used if ComfyUI-YoloWorld-EfficientSAM is installed."}], "device_mode": [["AUTO", "Prefer GPU", "CPU"], {"tooltip": "AUTO: Only applicable when a GPU is available. It temporarily loads the SAM_MODEL into VRAM only when the detection function is used.\nPrefer GPU: Tries to keep the SAM_MODEL on the GPU whenever possible. This can be used when there is sufficient VRAM available.\nCPU: Always loads only on the CPU."}]}}, "input_order": {"required": ["model_name", "device_mode"]}, "is_input_list": false, "output": ["SAM_MODEL"], "output_is_list": [false], "output_name": ["SAM_MODEL"], "name": "SAMLoader", "display_name": "SAMLoader (Impact)", "description": "Load the SAM (Segment Anything) model. This can be used in places that utilize SAM detection functionality, such as SAMDetector or SimpleDetector.\nThe SAM detection functionality in Impact Pack must use the SAM_MODEL loaded through this node.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CLIPSegDetectorProvider": {"input": {"required": {"text": ["STRING", {"multiline": false, "tooltip": "Enter the targets to be detected, separated by commas"}], "blur": ["FLOAT", {"min": 0, "max": 15, "step": 0.1, "default": 7, "tooltip": "Blurs the detected mask"}], "threshold": ["FLOAT", {"min": 0, "max": 1, "step": 0.05, "default": 0.4, "tooltip": "Detects only areas that are certain above the threshold."}], "dilation_factor": ["INT", {"min": 0, "max": 10, "step": 1, "default": 4, "tooltip": "Dilates the detected mask."}]}}, "input_order": {"required": ["text", "blur", "threshold", "dilation_factor"]}, "is_input_list": false, "output": ["BBOX_DETECTOR"], "output_is_list": [false], "output_name": ["BBOX_DETECTOR"], "name": "CLIPSegDetectorProvider", "display_name": "CLIPSegDetectorProvider", "description": "Provides a detection function using CLIPSeg, which generates masks based on text prompts.\nTo use this node, the CLIPSeg custom node must be installed.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ONNXDetectorProvider": {"input": {"required": {"model_name": [[]]}}, "input_order": {"required": ["model_name"]}, "is_input_list": false, "output": ["BBOX_DETECTOR"], "output_is_list": [false], "output_name": ["BBOX_DETECTOR"], "name": "ONNXDetectorProvider", "display_name": "ONNXDetectorProvider", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "BitwiseAndMaskForEach": {"input": {"required": {"base_segs": ["SEGS"], "mask_segs": ["SEGS"]}}, "input_order": {"required": ["base_segs", "mask_segs"]}, "is_input_list": false, "output": ["SEGS"], "output_is_list": [false], "output_name": ["SEGS"], "name": "BitwiseAndMaskForEach", "display_name": "Pixelwise(SEGS & SEGS)", "description": "Retains only the overlapping areas between the masks included in base_segs and the mask regions of mask_segs. 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"sgm_uniform", "karras", "exponential", "ddim_uniform", "beta", "normal", "linear_quadratic", "kl_optimal", "AYS SDXL", "AYS SD1", "AYS SVD", "GITS[coeff=1.2]", "LTXV[default]", "OSS FLUX", "OSS Wan", "OSS Chroma"]], "denoise": ["FLOAT", {"default": 0.5, "min": 0.0001, "max": 1.0, "step": 0.01}], "feather": ["INT", {"default": 5, "min": 0, "max": 100, "step": 1}], "basic_pipe": ["BASIC_PIPE", {"tooltip": "If the `ImpactDummyInput` is connected to the model in the basic_pipe, the inference stage is skipped."}], "refiner_ratio": ["FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0}]}, "optional": {"detailer_hook": ["DETAILER_HOOK"], "refiner_basic_pipe_opt": ["BASIC_PIPE"], "noise_mask_feather": ["INT", {"default": 20, "min": 0, "max": 100, "step": 1}], "scheduler_func_opt": ["SCHEDULER_FUNC"]}}, "input_order": {"required": ["image_frames", "segs", "guide_size", "guide_size_for", "max_size", "seed", "steps", "cfg", "sampler_name", "scheduler", "denoise", "feather", "basic_pipe", "refiner_ratio"], "optional": ["detailer_hook", "refiner_basic_pipe_opt", "noise_mask_feather", "scheduler_func_opt"]}, "is_input_list": false, "output": ["IMAGE", "SEGS", "BASIC_PIPE", "IMAGE"], "output_is_list": [false, false, false, true], "output_name": ["image", "segs", "basic_pipe", "cnet_images"], "name": "DetailerForEachPipeForAnimateDiff", "display_name": "Detailer For Video (SEGS/pipe)", "description": "This node enhances details by inpainting each region within the detected area bundle (SEGS) after enlarging them based on the guide size.\nThis node is a specialized detailer node for enhancing video details, such as in AnimateDiff. It can handle cases where the masks contained in SEGS serve as batch masks spanning multiple frames.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Detailer", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SAMDetectorCombined": {"input": {"required": {"sam_model": ["SAM_MODEL", {"tooltip": "Segment Anything Model for Silhouette Detection.\nBe sure to use the SAM_MODEL loaded through the SAMLoader (Impact) node as input."}], "segs": ["SEGS", {"tooltip": "This is the segment information detected by the detector.\nIt refines the Mask through the SAM (Segment Anything) detector for all areas pointed to by SEGS, and combines all Masks to return as a single Mask."}], "image": ["IMAGE", {"tooltip": "It is assumed that segs contains only the information about the detected areas, and does not include the image. SAM (Segment Anything) operates by referencing this image."}], "detection_hint": [["center-1", "horizontal-2", "vertical-2", "rect-4", "diamond-4", "mask-area", "mask-points", "mask-point-bbox", "none"], {"tooltip": "It is recommended to use only center-1.\nWhen refining the mask of SEGS with the SAM (Segment Anything) model, center-1 uses only the rectangular area of SEGS and a single point at the exact center as hints.\nOther options were added during the experimental stage and do not work well."}], "dilation": ["INT", {"default": 0, "min": -512, "max": 512, "step": 1, "tooltip": "Set the value to dilate the result mask. If the value is negative, it erodes the mask."}], "threshold": ["FLOAT", {"default": 0.93, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "Set the sensitivity threshold for the mask detected by SAM (Segment Anything). A higher value generates a more specific mask with a narrower range. For example, when pointing to a person's area, it might detect clothes, which is a narrower range, instead of the entire person."}], "bbox_expansion": ["INT", {"default": 0, "min": 0, "max": 1000, "step": 1, "tooltip": "When performing SAM (Segment Anything) detection within the SEGS area, the rectangular area of SEGS is expanded and used as a hint."}], "mask_hint_threshold": ["FLOAT", {"default": 0.7, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "When detection_hint is mask-area, the mask of SEGS is used as a point hint for SAM (Segment Anything).\nIn this case, only the areas of the mask with brightness values equal to or greater than mask_hint_threshold are used as hints."}], "mask_hint_use_negative": [["False", "Small", "Outter"], {"tooltip": "When detecting with SAM (Segment Anything), negative hints are applied as follows:\nSmall: When the SEGS is smaller than 10 pixels in size\nOuter: Sampling the image area outside the SEGS region at regular intervals"}]}}, "input_order": {"required": ["sam_model", "segs", "image", "detection_hint", "dilation", "threshold", "bbox_expansion", "mask_hint_threshold", "mask_hint_use_negative"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "SAMDetectorCombined", "display_name": "SAMDetector (combined)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Detector", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SAMDetectorSegmented": {"input": {"required": {"sam_model": ["SAM_MODEL", {"tooltip": "Segment Anything Model for Silhouette Detection.\nBe sure to use the SAM_MODEL loaded through the SAMLoader (Impact) node as input."}], "segs": ["SEGS", {"tooltip": "This is the segment information detected by the detector.\nFor the SEGS region, the masks detected by SAM (Segment Anything) are created as a unified mask and a batch of individual masks."}], "image": ["IMAGE", {"tooltip": "It is assumed that segs contains only the information about the detected areas, and does not include the image. SAM (Segment Anything) operates by referencing this image."}], "detection_hint": [["center-1", "horizontal-2", "vertical-2", "rect-4", "diamond-4", "mask-area", "mask-points", "mask-point-bbox", "none"], {"tooltip": "It is recommended to use only center-1.\nWhen refining the mask of SEGS with the SAM (Segment Anything) model, center-1 uses only the rectangular area of SEGS and a single point at the exact center as hints.\nOther options were added during the experimental stage and do not work well."}], "dilation": ["INT", {"default": 0, "min": -512, "max": 512, "step": 1, "tooltip": "Set the value to dilate the result mask. If the value is negative, it erodes the mask."}], "threshold": ["FLOAT", {"default": 0.93, "min": 0.0, "max": 1.0, "step": 0.01}], "bbox_expansion": ["INT", {"default": 0, "min": 0, "max": 1000, "step": 1, "tooltip": "When performing SAM (Segment Anything) detection within the SEGS area, the rectangular area of SEGS is expanded and used as a hint."}], "mask_hint_threshold": ["FLOAT", {"default": 0.7, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "When detection_hint is mask-area, the mask of SEGS is used as a point hint for SAM (Segment Anything).\nIn this case, only the areas of the mask with brightness values equal to or greater than mask_hint_threshold are used as hints."}], "mask_hint_use_negative": [["False", "Small", "Outter"], {"tooltip": "When detecting with SAM (Segment Anything), negative hints are applied as follows:\nSmall: When the SEGS is smaller than 10 pixels in size\nOuter: Sampling the image area outside the SEGS region at regular intervals"}]}}, "input_order": {"required": ["sam_model", "segs", "image", "detection_hint", "dilation", "threshold", "bbox_expansion", "mask_hint_threshold", "mask_hint_use_negative"]}, "is_input_list": false, "output": ["MASK", "MASK"], "output_is_list": [false, false], "output_name": ["combined_mask", "batch_masks"], "name": "SAMDetectorSegmented", "display_name": "SAMDetector (segmented)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Detector", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "FaceDetailer": {"input": {"required": {"image": ["IMAGE"], "model": ["MODEL", {"tooltip": "If the `ImpactDummyInput` is connected to the model, the inference stage is skipped."}], "clip": ["CLIP"], "vae": ["VAE"], "guide_size": ["FLOAT", {"default": 512, "min": 64, "max": 16384, "step": 8}], "guide_size_for": ["BOOLEAN", {"default": true, "label_on": "bbox", "label_off": "crop_region"}], "max_size": ["FLOAT", {"default": 1024, "min": 64, "max": 16384, "step": 8}], "seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615}], "steps": ["INT", {"default": 20, "min": 1, "max": 10000}], "cfg": ["FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}], "sampler_name": [["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2", "exp_heun_2_x0", "exp_heun_2_x0_sde", "dpm_2", "dpm_2_ancestral", "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_2s_ancestral_cfg_pp", "dpmpp_sde", "dpmpp_sde_gpu", "dpmpp_2m", "dpmpp_2m_cfg_pp", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_2m_sde_heun", "dpmpp_2m_sde_heun_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", "ipndm", "ipndm_v", "deis", "res_multistep", "res_multistep_cfg_pp", "res_multistep_ancestral", "res_multistep_ancestral_cfg_pp", "gradient_estimation", "gradient_estimation_cfg_pp", "er_sde", "seeds_2", "seeds_3", "sa_solver", "sa_solver_pece", "ddim", "uni_pc", "uni_pc_bh2"]], "scheduler": [["simple", "sgm_uniform", "karras", "exponential", "ddim_uniform", "beta", "normal", "linear_quadratic", "kl_optimal", "AYS SDXL", "AYS SD1", "AYS SVD", "GITS[coeff=1.2]", "LTXV[default]", "OSS FLUX", "OSS Wan", "OSS Chroma"]], "positive": ["CONDITIONING"], "negative": ["CONDITIONING"], "denoise": ["FLOAT", {"default": 0.5, "min": 0.0001, "max": 1.0, "step": 0.01}], "feather": ["INT", {"default": 5, "min": 0, "max": 100, "step": 1}], "noise_mask": ["BOOLEAN", {"default": true, "label_on": "enabled", "label_off": "disabled"}], "force_inpaint": ["BOOLEAN", {"default": true, "label_on": "enabled", "label_off": "disabled"}], "bbox_threshold": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "bbox_dilation": ["INT", {"default": 10, "min": -512, "max": 512, "step": 1}], "bbox_crop_factor": ["FLOAT", {"default": 3.0, "min": 1.0, "max": 10, "step": 0.1}], "sam_detection_hint": [["center-1", "horizontal-2", "vertical-2", "rect-4", "diamond-4", "mask-area", "mask-points", "mask-point-bbox", "none"]], "sam_dilation": ["INT", {"default": 0, "min": -512, "max": 512, "step": 1}], "sam_threshold": ["FLOAT", {"default": 0.93, "min": 0.0, "max": 1.0, "step": 0.01}], "sam_bbox_expansion": ["INT", {"default": 0, "min": 0, "max": 1000, "step": 1}], "sam_mask_hint_threshold": ["FLOAT", {"default": 0.7, "min": 0.0, "max": 1.0, "step": 0.01}], "sam_mask_hint_use_negative": [["False", "Small", "Outter"]], "drop_size": ["INT", {"min": 1, "max": 16384, "step": 1, "default": 10}], "bbox_detector": ["BBOX_DETECTOR"], "wildcard": ["STRING", {"multiline": true, "dynamicPrompts": false}], "cycle": ["INT", {"default": 1, "min": 1, "max": 10, "step": 1}]}, "optional": {"sam_model_opt": ["SAM_MODEL"], "segm_detector_opt": ["SEGM_DETECTOR"], "detailer_hook": ["DETAILER_HOOK"], "inpaint_model": ["BOOLEAN", {"default": false, "label_on": "enabled", "label_off": "disabled"}], "noise_mask_feather": ["INT", {"default": 20, "min": 0, "max": 100, "step": 1}], "scheduler_func_opt": ["SCHEDULER_FUNC"], "tiled_encode": ["BOOLEAN", {"default": false, "label_on": "enabled", "label_off": "disabled"}], "tiled_decode": ["BOOLEAN", {"default": false, "label_on": "enabled", "label_off": "disabled"}]}}, "input_order": {"required": ["image", "model", "clip", "vae", "guide_size", "guide_size_for", "max_size", "seed", "steps", "cfg", "sampler_name", "scheduler", "positive", "negative", "denoise", "feather", "noise_mask", "force_inpaint", "bbox_threshold", "bbox_dilation", "bbox_crop_factor", "sam_detection_hint", "sam_dilation", "sam_threshold", "sam_bbox_expansion", "sam_mask_hint_threshold", "sam_mask_hint_use_negative", "drop_size", "bbox_detector", "wildcard", "cycle"], "optional": ["sam_model_opt", "segm_detector_opt", "detailer_hook", "inpaint_model", "noise_mask_feather", "scheduler_func_opt", "tiled_encode", "tiled_decode"]}, "is_input_list": false, "output": ["IMAGE", "IMAGE", "IMAGE", "MASK", "DETAILER_PIPE", "IMAGE"], "output_is_list": [false, true, true, false, false, true], "output_name": ["image", "cropped_refined", "cropped_enhanced_alpha", "mask", "detailer_pipe", "cnet_images"], "name": "FaceDetailer", "display_name": "FaceDetailer", "description": "This node enhances details by automatically detecting specific objects in the input image using detection models (bbox, segm, sam) and regenerating the image by enlarging the detected area based on the guide size.\nAlthough this node is specialized to simplify the commonly used facial detail enhancement workflow, it can also be used for various automatic inpainting purposes depending on the detection model.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Simple", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "FaceDetailerPipe": {"input": {"required": {"image": ["IMAGE"], "detailer_pipe": ["DETAILER_PIPE", {"tooltip": "If the `ImpactDummyInput` is connected to the model in the detailer_pipe, the inference stage is skipped."}], "guide_size": ["FLOAT", {"default": 512, "min": 64, "max": 16384, "step": 8}], "guide_size_for": ["BOOLEAN", {"default": true, "label_on": "bbox", "label_off": "crop_region"}], "max_size": ["FLOAT", {"default": 1024, "min": 64, "max": 16384, "step": 8}], "seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615}], "steps": ["INT", {"default": 20, "min": 1, "max": 10000}], "cfg": ["FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}], "sampler_name": [["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2", "exp_heun_2_x0", "exp_heun_2_x0_sde", "dpm_2", "dpm_2_ancestral", "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_2s_ancestral_cfg_pp", "dpmpp_sde", "dpmpp_sde_gpu", "dpmpp_2m", "dpmpp_2m_cfg_pp", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_2m_sde_heun", "dpmpp_2m_sde_heun_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", "ipndm", "ipndm_v", "deis", "res_multistep", "res_multistep_cfg_pp", "res_multistep_ancestral", "res_multistep_ancestral_cfg_pp", "gradient_estimation", "gradient_estimation_cfg_pp", "er_sde", "seeds_2", "seeds_3", "sa_solver", "sa_solver_pece", "ddim", "uni_pc", "uni_pc_bh2"]], "scheduler": [["simple", "sgm_uniform", "karras", "exponential", "ddim_uniform", "beta", "normal", "linear_quadratic", "kl_optimal", "AYS SDXL", "AYS SD1", "AYS SVD", "GITS[coeff=1.2]", "LTXV[default]", "OSS FLUX", "OSS Wan", "OSS Chroma"]], "denoise": ["FLOAT", {"default": 0.5, "min": 0.0001, "max": 1.0, "step": 0.01}], "feather": ["INT", {"default": 5, "min": 0, "max": 100, "step": 1}], "noise_mask": ["BOOLEAN", {"default": true, "label_on": "enabled", "label_off": "disabled"}], "force_inpaint": ["BOOLEAN", {"default": true, "label_on": "enabled", "label_off": "disabled"}], "bbox_threshold": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "bbox_dilation": ["INT", {"default": 10, "min": -512, "max": 512, "step": 1}], "bbox_crop_factor": ["FLOAT", {"default": 3.0, "min": 1.0, "max": 10, "step": 0.1}], "sam_detection_hint": [["center-1", "horizontal-2", "vertical-2", "rect-4", "diamond-4", "mask-area", "mask-points", "mask-point-bbox", "none"]], "sam_dilation": ["INT", {"default": 0, "min": -512, "max": 512, "step": 1}], "sam_threshold": ["FLOAT", {"default": 0.93, "min": 0.0, "max": 1.0, "step": 0.01}], "sam_bbox_expansion": ["INT", {"default": 0, "min": 0, "max": 1000, "step": 1}], "sam_mask_hint_threshold": ["FLOAT", {"default": 0.7, "min": 0.0, "max": 1.0, "step": 0.01}], "sam_mask_hint_use_negative": [["False", "Small", "Outter"]], "drop_size": ["INT", {"min": 1, "max": 16384, "step": 1, "default": 10}], "refiner_ratio": ["FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0}], "cycle": ["INT", {"default": 1, "min": 1, "max": 10, "step": 1}]}, "optional": {"inpaint_model": ["BOOLEAN", {"default": false, "label_on": "enabled", "label_off": "disabled"}], "noise_mask_feather": ["INT", {"default": 20, "min": 0, "max": 100, "step": 1}], "scheduler_func_opt": ["SCHEDULER_FUNC"], "tiled_encode": ["BOOLEAN", {"default": false, "label_on": "enabled", "label_off": "disabled"}], "tiled_decode": ["BOOLEAN", {"default": false, "label_on": "enabled", "label_off": "disabled"}]}}, "input_order": {"required": ["image", "detailer_pipe", "guide_size", "guide_size_for", "max_size", "seed", "steps", "cfg", "sampler_name", "scheduler", "denoise", "feather", "noise_mask", "force_inpaint", "bbox_threshold", "bbox_dilation", "bbox_crop_factor", "sam_detection_hint", "sam_dilation", "sam_threshold", "sam_bbox_expansion", "sam_mask_hint_threshold", "sam_mask_hint_use_negative", "drop_size", "refiner_ratio", "cycle"], "optional": ["inpaint_model", "noise_mask_feather", "scheduler_func_opt", "tiled_encode", "tiled_decode"]}, "is_input_list": false, "output": ["IMAGE", "IMAGE", "IMAGE", "MASK", "DETAILER_PIPE", "IMAGE"], "output_is_list": [false, true, true, false, false, true], "output_name": ["image", "cropped_refined", "cropped_enhanced_alpha", "mask", "detailer_pipe", "cnet_images"], "name": "FaceDetailerPipe", "display_name": "FaceDetailer (pipe)", "description": "This node enhances details by automatically detecting specific objects in the input image using detection models (bbox, segm, sam) and regenerating the image by enlarging the detected area based on the guide size.\nAlthough this node is specialized to simplify the commonly used facial detail enhancement workflow, it can also be used for various automatic inpainting purposes depending on the detection model.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Simple", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "MaskDetailerPipe": {"input": {"required": {"image": ["IMAGE"], "mask": ["MASK"], "basic_pipe": ["BASIC_PIPE"], "guide_size": ["FLOAT", {"default": 512, "min": 64, "max": 16384, "step": 8}], "guide_size_for": ["BOOLEAN", {"default": true, "label_on": "mask bbox", "label_off": "crop region"}], "max_size": 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Instead, it returns a white mask."}], "restore_mask": [["never", "always", "if_same_size"], {"tooltip": "if_same_size: If the changed input latent is the same size as the previous latent, restore using the last saved mask\nalways: Whenever the input latent changes, always restore using the last saved mask\nnever: Do not restore the mask.\n`restore_mask` has higher priority than `block`\nIf the input latent already has a mask, do not restore mask."}]}, "hidden": {"unique_id": "UNIQUE_ID", "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}}, "input_order": {"required": ["latent", "image", "preview_method"], "optional": ["vae_opt", "block", "restore_mask"], "hidden": ["unique_id", "prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["LATENT", "MASK"], "output_is_list": [false, false], "output_name": ["LATENT", "MASK"], "name": "PreviewBridgeLatent", "display_name": "Preview Bridge (Latent)", "description": "This is a feature that allows you to edit and send a Mask over a latent image.\nIf the block is set to 'is_empty_mask', the execution is stopped when the mask is empty.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "ImageSender": {"input": {"required": {"images": ["IMAGE"], "filename_prefix": ["STRING", {"default": "ImgSender"}], "link_id": ["INT", {"default": 0, "min": 0, "max": 9223372036854775807, "step": 1}]}, "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}}, "input_order": {"required": ["images", "filename_prefix", "link_id"], "hidden": ["prompt", "extra_pnginfo"]}, "is_input_list": false, "output": [], "output_is_list": [], "output_name": [], "name": "ImageSender", "display_name": "Image Sender", "description": "Saves the input images to your ComfyUI output directory.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": true, "has_intermediate_output": false, "search_aliases": ["preview", "preview image", "show image", "view image", "display image", "image viewer"], "essentials_category": "Basics"}, "ImageReceiver": {"input": {"required": {"image": [["2.png", "RunComFy_examples_1384_1.png", "RunComfy_examples_1384_1.png", "RunComfy_examples_1386_1.jpg", "RunComfy_examples_1386_2.jpg", "RunComfy_examples_1386_3.jpg", "RunComfy_examples_1386_4.jpg", "RunComfy_examples_1386_5.jpg", "Runcomfy_example_1277.png", "example.png", "ref.jpg"]], "link_id": ["INT", {"default": 0, "min": 0, "max": 9223372036854775807, "step": 1}], "save_to_workflow": ["BOOLEAN", {"default": false}], "image_data": ["STRING", {"multiline": false}], "trigger_always": ["BOOLEAN", {"default": false, "label_on": "enable", "label_off": "disable"}]}}, "input_order": {"required": ["image", "link_id", "save_to_workflow", "image_data", "trigger_always"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "ImageReceiver", "display_name": "Image Receiver", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "LatentSender": {"input": {"required": {"samples": ["LATENT"], "filename_prefix": ["STRING", {"default": "latents/LatentSender"}], "link_id": ["INT", {"default": 0, "min": 0, "max": 9223372036854775807, "step": 1}], "preview_method": [["Latent2RGB-FLUX.1", "Latent2RGB-SDXL", "Latent2RGB-SD15", "Latent2RGB-SD3", "Latent2RGB-SD-X4", "Latent2RGB-Playground-2.5", "Latent2RGB-SC-Prior", "Latent2RGB-SC-B", "Latent2RGB-LTXV", "TAEF1", "TAESDXL", "TAESD15", "TAESD3"]]}, "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}}, "input_order": {"required": ["samples", "filename_prefix", "link_id", "preview_method"], "hidden": ["prompt", "extra_pnginfo"]}, "is_input_list": false, "output": [], "output_is_list": [], "output_name": [], "name": "LatentSender", "display_name": "LatentSender", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": true, "has_intermediate_output": false, "search_aliases": ["export latent"]}, "LatentReceiver": {"input": {"required": {"latent": [[]], "link_id": ["INT", {"default": 0, "min": 0, "max": 9223372036854775807, "step": 1}], "trigger_always": ["BOOLEAN", {"default": false, "label_on": "enable", "label_off": "disable"}]}}, "input_order": {"required": ["latent", "link_id", "trigger_always"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "LatentReceiver", "display_name": "LatentReceiver", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageMaskSwitch": {"input": {"required": {"select": ["INT", {"default": 1, "min": 1, "max": 4, "step": 1}], "images1": ["IMAGE"]}, "optional": {"mask1_opt": ["MASK"], "images2_opt": ["IMAGE"], "mask2_opt": ["MASK"], "images3_opt": ["IMAGE"], "mask3_opt": ["MASK"], "images4_opt": ["IMAGE"], "mask4_opt": ["MASK"]}}, "input_order": {"required": ["select", "images1"], "optional": ["mask1_opt", "images2_opt", "mask2_opt", "images3_opt", "mask3_opt", "images4_opt", "mask4_opt"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "ImageMaskSwitch", "display_name": "Switch (images, mask)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "LatentSwitch": {"input": {"required": {"select": ["INT", {"default": 1, "min": 1, "max": 999999, "step": 1, "tooltip": "The input number you want to output among the inputs"}], "sel_mode": ["BOOLEAN", {"default": false, "label_on": "select_on_prompt", "label_off": "select_on_execution", "forceInput": false, "tooltip": "In the case of 'select_on_execution', the selection is dynamically determined at the time of workflow execution. 'select_on_prompt' is an option that exists for older versions of ComfyUI, and it makes the decision before the workflow execution."}]}, "optional": {"input1": ["*", {"lazy": true, "tooltip": "Any input. When connected, one more input slot is added."}]}, "hidden": {"unique_id": "UNIQUE_ID", "extra_pnginfo": "EXTRA_PNGINFO"}}, "input_order": {"required": ["select", "sel_mode"], "optional": ["input1"], "hidden": ["unique_id", "extra_pnginfo"]}, "is_input_list": false, "output": ["*", "STRING", "INT"], "output_is_list": [false, false, false], "output_name": ["selected_value", "selected_label", "selected_index"], "name": "LatentSwitch", "display_name": "Switch (latent/legacy)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "output_tooltips": ["Output is generated only from the input chosen by the 'select' value.", "Slot label of the selected input slot", "Outputs the select value as is"], "search_aliases": []}, "SEGSSwitch": {"input": {"required": {"select": ["INT", {"default": 1, "min": 1, "max": 999999, "step": 1, "tooltip": "The input number you want to output among the inputs"}], "sel_mode": ["BOOLEAN", {"default": false, "label_on": "select_on_prompt", "label_off": "select_on_execution", "forceInput": false, "tooltip": "In the case of 'select_on_execution', the selection is dynamically determined at the time of workflow execution. 'select_on_prompt' is an option that exists for older versions of ComfyUI, and it makes the decision before the workflow execution."}]}, "optional": {"input1": ["*", {"lazy": true, "tooltip": "Any input. When connected, one more input slot is added."}]}, "hidden": {"unique_id": "UNIQUE_ID", "extra_pnginfo": "EXTRA_PNGINFO"}}, "input_order": {"required": ["select", "sel_mode"], "optional": ["input1"], "hidden": ["unique_id", "extra_pnginfo"]}, "is_input_list": false, "output": ["*", "STRING", "INT"], "output_is_list": [false, false, false], "output_name": ["selected_value", "selected_label", "selected_index"], "name": "SEGSSwitch", "display_name": "Switch (SEGS/legacy)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "output_tooltips": ["Output is generated only from the input chosen by the 'select' value.", "Slot label of the selected input slot", "Outputs the select value as is"], "search_aliases": []}, "ImpactSwitch": {"input": {"required": {"select": ["INT", {"default": 1, "min": 1, "max": 999999, "step": 1, "tooltip": "The input number you want to output among the inputs"}], "sel_mode": ["BOOLEAN", {"default": false, "label_on": "select_on_prompt", "label_off": "select_on_execution", "forceInput": false, "tooltip": "In the case of 'select_on_execution', the selection is dynamically determined at the time of workflow execution. 'select_on_prompt' is an option that exists for older versions of ComfyUI, and it makes the decision before the workflow execution."}]}, "optional": {"input1": ["*", {"lazy": true, "tooltip": "Any input. When connected, one more input slot is added."}]}, "hidden": {"unique_id": "UNIQUE_ID", "extra_pnginfo": "EXTRA_PNGINFO"}}, "input_order": {"required": ["select", "sel_mode"], "optional": ["input1"], "hidden": ["unique_id", "extra_pnginfo"]}, "is_input_list": false, "output": ["*", "STRING", "INT"], "output_is_list": [false, false, false], "output_name": ["selected_value", "selected_label", "selected_index"], "name": "ImpactSwitch", "display_name": "Switch (Any)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "output_tooltips": ["Output is generated only from the input chosen by the 'select' value.", "Slot label of the selected input slot", "Outputs the select value as is"], "search_aliases": []}, "ImpactInversedSwitch": {"input": {"required": {"select": ["INT", {"default": 1, "min": 1, "max": 999999, "step": 1, "tooltip": "The output number you want to send from the input"}], "input": ["*", {"tooltip": "Any input. When connected, one more input slot is added."}]}, "optional": {"sel_mode": ["BOOLEAN", {"default": false, "label_on": "select_on_prompt", "label_off": "select_on_execution", "forceInput": false, "tooltip": "In the case of 'select_on_execution', the selection is dynamically determined at the time of workflow execution. 'select_on_prompt' is an option that exists for older versions of ComfyUI, and it makes the decision before the workflow execution."}]}, "hidden": {"prompt": "PROMPT", "unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["select", "input"], "optional": ["sel_mode"], "hidden": ["prompt", "unique_id"]}, "is_input_list": false, "output": ["*"], "output_is_list": [false], "output_name": ["*"], "name": "ImpactInversedSwitch", "display_name": "Inversed Switch (Any)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "output_tooltips": ["Output occurs only from the output selected by the 'select' value.\nWhen slots are connected, additional slots are created."], "search_aliases": []}, "ImpactWildcardProcessor": {"input": {"required": {"wildcard_text": ["STRING", {"multiline": true, "dynamicPrompts": false, "tooltip": "Enter a prompt using wildcard syntax."}], "populated_text": ["STRING", {"multiline": true, "dynamicPrompts": false, "tooltip": "The actual value passed during the execution of 'ImpactWildcardProcessor' is what is shown here. The behavior varies slightly depending on the mode. Wildcard syntax can also be used in 'populated_text'."}], "mode": [["populate", "fixed", "reproduce"], {"default": "populate", "tooltip": "populate: Before running the workflow, it overwrites the existing value of 'populated_text' with the prompt processed from 'wildcard_text'. In this mode, 'populated_text' cannot be edited.\nfixed: Ignores wildcard_text and keeps 'populated_text' as is. You can edit 'populated_text' in this mode.\nreproduce: This mode operates as 'fixed' mode only once for reproduction, and then it switches to 'populate' mode."}], "seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615, "tooltip": "Determines the random seed to be used for wildcard processing."}], "Select to add Wildcard": [["Select the Wildcard to add to the text"]]}}, "input_order": {"required": ["wildcard_text", "populated_text", "mode", "seed", "Select to add Wildcard"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["processed text"], "name": "ImpactWildcardProcessor", "display_name": "ImpactWildcardProcessor", "description": "The 'ImpactWildcardProcessor' processes text prompts written in wildcard syntax and outputs the processed text prompt.\n\nTIP: Before the workflow is executed, the processing result of 'wildcard_text' is displayed in 'populated_text', and the populated text is saved along with the workflow. If you want to use a seed converted as input, write the prompt directly in 'populated_text' instead of 'wildcard_text', and set the mode to 'fixed'.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Prompt", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactWildcardEncode": {"input": {"required": {"model": ["MODEL"], "clip": ["CLIP"], "wildcard_text": ["STRING", {"multiline": true, "dynamicPrompts": false, "tooltip": "Enter a prompt using wildcard syntax."}], "populated_text": ["STRING", {"multiline": true, "dynamicPrompts": false, "tooltip": "The actual value passed during the execution of 'ImpactWildcardEncode' is what is shown here. The behavior varies slightly depending on the mode. Wildcard syntax can also be used in 'populated_text'."}], "mode": [["populate", "fixed", "reproduce"], {"tooltip": "populate: Before running the workflow, it overwrites the existing value of 'populated_text' with the prompt processed from 'wildcard_text'. In this mode, 'populated_text' cannot be edited.\nfixed: Ignores wildcard_text and keeps 'populated_text' as is. You can edit 'populated_text' in this mode\n.reproduce: This mode operates as 'fixed' mode only once for reproduction, and then it switches to 'populate' mode."}], "Select to add LoRA": [["Select the LoRA to add to the text", "AnimateLCM/AnimateLCM_sd15_t2v_lora.safetensors", "Detailed_Hands-000001.safetensors", "Expressive_H-000001.safetensors", "FLUX.1-Turbo-Alpha.safetensors", "Flux2TurboComfyv2.safetensors", "Flux_2-Turbo-LoRA_comfyui.safetensors", "LineArt.safetensors", "OilPainting.safetensors", "PerfectEyesXL.safetensors", "Qwen-Edit-2509-Multiple-angles.safetensors", "Qwen-Image-Edit-2509-Anything2RealAlpha.safetensors", "Qwen-Image-Edit-2509-Fusion.safetensors", "Qwen-Image-Edit-2509-Light-Migration.safetensors", "Qwen-Image-Edit-2509-Relight.safetensors", "Qwen-Image-Edit-2509-White_to_Scene.safetensors", "Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors", "Qwen-Image-Lightning-4steps-V1.0.safetensors", "SDXL_StopMotion_lora.safetensors", "SU_Twrk_EP62.safetensors", "Samsung_UltraReal.safetensors", "UltraRealPhoto.safetensors", "WAN_dr34mj0b.safetensors", "Wan21_CausVid_14B_T2V_lora_rank32.safetensors", "Wan21_CausVid_bidirect2_T2V_1_3B_lora_rank32.safetensors", "add-detail-xl.safetensors", "add_detail.safetensors", "aidmaRealisticSkin-FLUX-v0.1.safetensors", "amateurphoto-v6-forcu.safetensors", "bounceV_01.safetensors", "chronoedit_distill_lora.safetensors", "comfyui_portrait_lora64.safetensors", "comfyui_subject_lora16.safetensors", "detailz-wan.safetensors", "diffusion_pytorch_model.safetensors", "flux.1-fill-dev-object-removal-lora.safetensors", "flux/In-Context-LoRA/couple-profile.safetensors", "flux/In-Context-LoRA/film-storyboard.safetensors", "flux/In-Context-LoRA/font-design.safetensors", "flux/In-Context-LoRA/home-decoration.safetensors", "flux/In-Context-LoRA/portrait-illustration.safetensors", "flux/In-Context-LoRA/portrait-photography.safetensors", "flux/In-Context-LoRA/ppt-templates.safetensors", "flux/In-Context-LoRA/sandstorm-visual-effect.safetensors", "flux/In-Context-LoRA/sparklers-visual-effect.safetensors", "flux/In-Context-LoRA/visual-identity-design.safetensors", "flux/UltraRealPhoto.safetensors", "flux/anime_lora.safetensors", "flux/anime_lora_comfy_converted.safetensors", "flux/art_lora.safetensors", "flux/art_lora_comfy_converted.safetensors", "flux/disney_lora.safetensors", "flux/disney_lora_comfy_converted.safetensors", "flux/flux.1-turbo-alpha/diffusion_pytorch_model.safetensors", "flux/furry_lora.safetensors", "flux/mjv6_lora.safetensors", "flux/mjv6_lora_comfy_converted.safetensors", "flux/realism_lora.safetensors", "flux/realism_lora_comfy_converted.safetensors", "flux/scenery_lora.safetensors", "flux/scenery_lora_comfy_converted.safetensors", "flux1-canny-dev-lora.safetensors", "flux1-depth-dev-lora.safetensors", "fluxRealSkin-V2.safetensors", "flux_realism_lora.safetensors", "gemma-3-12b-it-abliterated_heretic_lora_rank64_bf16.safetensors", "gemma-3-12b-it-abliterated_lora_rank64_bf16.safetensors", "hunyuan/hyvideo_FastVideo_LoRA-fp8.safetensors", "hunyuanvideo1.5_t2v_480p_lightx2v_4step_lora_rank_32_bf16.safetensors", "insert-anything_extracted_lora_rank_64-bf16.safetensors", "kontext/Akira Toriyama - 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It also supports LoRA syntax, with the applied LoRA reflected in the model's output.\n\nTIP1: Before the workflow is executed, the processing result of 'wildcard_text' is displayed in 'populated_text', and the populated text is saved along with the workflow. If you want to use a seed converted as input, write the prompt directly in 'populated_text' instead of 'wildcard_text', and set the mode to 'fixed'.\nTIP2: If the 'Inspire Pack' is installed, LBW(LoRA Block Weight) syntax can also be applied.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Prompt", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SEGSUpscaler": {"input": {"required": {"image": ["IMAGE"], "segs": ["SEGS"], "model": ["MODEL"], "clip": ["CLIP"], "vae": ["VAE"], "rescale_factor": ["FLOAT", {"default": 2, "min": 0.01, "max": 100.0, "step": 0.01}], "resampling_method": [["lanczos", "nearest", "bilinear", "bicubic"]], "supersample": [["true", "false"]], "rounding_modulus": ["INT", {"default": 8, "min": 8, "max": 1024, "step": 8}], "seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615}], "steps": ["INT", {"default": 20, "min": 1, "max": 10000}], "cfg": ["FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}], "sampler_name": [["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2", "exp_heun_2_x0", "exp_heun_2_x0_sde", "dpm_2", "dpm_2_ancestral", "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_2s_ancestral_cfg_pp", "dpmpp_sde", "dpmpp_sde_gpu", "dpmpp_2m", "dpmpp_2m_cfg_pp", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_2m_sde_heun", "dpmpp_2m_sde_heun_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", "ipndm", "ipndm_v", "deis", "res_multistep", "res_multistep_cfg_pp", "res_multistep_ancestral", "res_multistep_ancestral_cfg_pp", "gradient_estimation", "gradient_estimation_cfg_pp", "er_sde", "seeds_2", "seeds_3", "sa_solver", "sa_solver_pece", "ddim", "uni_pc", "uni_pc_bh2"]], "scheduler": [["simple", "sgm_uniform", "karras", "exponential", "ddim_uniform", "beta", "normal", "linear_quadratic", "kl_optimal", "AYS SDXL", "AYS SD1", "AYS SVD", "GITS[coeff=1.2]", "LTXV[default]", "OSS FLUX", "OSS Wan", "OSS Chroma"]], "positive": ["CONDITIONING"], "negative": ["CONDITIONING"], "denoise": ["FLOAT", {"default": 0.5, "min": 0.0001, "max": 1.0, "step": 0.01}], "feather": ["INT", {"default": 5, "min": 0, "max": 100, "step": 1}], "inpaint_model": ["BOOLEAN", {"default": false, "label_on": "enabled", "label_off": "disabled"}], "noise_mask_feather": ["INT", {"default": 20, "min": 0, "max": 100, "step": 1}]}, "optional": {"upscale_model_opt": ["UPSCALE_MODEL"], "upscaler_hook_opt": ["UPSCALER_HOOK"], "scheduler_func_opt": ["SCHEDULER_FUNC"]}}, "input_order": {"required": ["image", "segs", "model", "clip", "vae", "rescale_factor", "resampling_method", "supersample", "rounding_modulus", "seed", "steps", "cfg", "sampler_name", "scheduler", "positive", "negative", "denoise", "feather", "inpaint_model", "noise_mask_feather"], "optional": ["upscale_model_opt", "upscaler_hook_opt", "scheduler_func_opt"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "SEGSUpscaler", "display_name": "Upscaler (SEGS)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Upscale", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SEGSUpscalerPipe": {"input": {"required": {"image": ["IMAGE"], "segs": ["SEGS"], "basic_pipe": ["BASIC_PIPE"], "rescale_factor": ["FLOAT", {"default": 2, "min": 0.01, "max": 100.0, "step": 0.01}], "resampling_method": [["lanczos", "nearest", "bilinear", "bicubic"]], "supersample": [["true", "false"]], "rounding_modulus": ["INT", {"default": 8, "min": 8, "max": 1024, "step": 8}], "seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615}], "steps": ["INT", {"default": 20, "min": 1, "max": 10000}], "cfg": ["FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}], "sampler_name": [["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2", "exp_heun_2_x0", "exp_heun_2_x0_sde", "dpm_2", "dpm_2_ancestral", "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_2s_ancestral_cfg_pp", "dpmpp_sde", "dpmpp_sde_gpu", "dpmpp_2m", "dpmpp_2m_cfg_pp", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_2m_sde_heun", "dpmpp_2m_sde_heun_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", "ipndm", "ipndm_v", "deis", "res_multistep", "res_multistep_cfg_pp", "res_multistep_ancestral", "res_multistep_ancestral_cfg_pp", "gradient_estimation", "gradient_estimation_cfg_pp", "er_sde", "seeds_2", "seeds_3", "sa_solver", "sa_solver_pece", "ddim", "uni_pc", "uni_pc_bh2"]], "scheduler": [["simple", "sgm_uniform", "karras", "exponential", "ddim_uniform", "beta", "normal", "linear_quadratic", "kl_optimal", "AYS SDXL", "AYS SD1", "AYS SVD", "GITS[coeff=1.2]", "LTXV[default]", "OSS FLUX", "OSS Wan", "OSS Chroma"]], "denoise": ["FLOAT", {"default": 0.5, "min": 0.0001, "max": 1.0, "step": 0.01}], "feather": ["INT", {"default": 5, "min": 0, "max": 100, "step": 1}], "inpaint_model": ["BOOLEAN", {"default": false, "label_on": "enabled", "label_off": "disabled"}], "noise_mask_feather": ["INT", {"default": 20, "min": 0, "max": 100, "step": 1}]}, "optional": {"upscale_model_opt": ["UPSCALE_MODEL"], "upscaler_hook_opt": ["UPSCALER_HOOK"], "scheduler_func_opt": ["SCHEDULER_FUNC"]}}, "input_order": {"required": ["image", "segs", "basic_pipe", "rescale_factor", "resampling_method", "supersample", "rounding_modulus", "seed", "steps", "cfg", "sampler_name", "scheduler", "denoise", "feather", "inpaint_model", "noise_mask_feather"], "optional": ["upscale_model_opt", "upscaler_hook_opt", "scheduler_func_opt"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "SEGSUpscalerPipe", "display_name": "Upscaler (SEGS/pipe)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Upscale", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SEGSDetailer": {"input": {"required": {"image": ["IMAGE"], "segs": ["SEGS"], "guide_size": ["FLOAT", {"default": 512, "min": 64, "max": 16384, "step": 8}], "guide_size_for": ["BOOLEAN", {"default": true, "label_on": "bbox", "label_off": "crop_region"}], "max_size": ["FLOAT", {"default": 768, "min": 64, "max": 16384, "step": 8}], "seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615}], "steps": ["INT", {"default": 20, "min": 1, "max": 10000}], "cfg": ["FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}], "sampler_name": [["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2", "exp_heun_2_x0", "exp_heun_2_x0_sde", "dpm_2", "dpm_2_ancestral", "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_2s_ancestral_cfg_pp", "dpmpp_sde", "dpmpp_sde_gpu", "dpmpp_2m", "dpmpp_2m_cfg_pp", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_2m_sde_heun", "dpmpp_2m_sde_heun_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", "ipndm", "ipndm_v", "deis", "res_multistep", "res_multistep_cfg_pp", "res_multistep_ancestral", "res_multistep_ancestral_cfg_pp", "gradient_estimation", "gradient_estimation_cfg_pp", "er_sde", "seeds_2", "seeds_3", "sa_solver", "sa_solver_pece", "ddim", "uni_pc", "uni_pc_bh2"]], "scheduler": [["simple", "sgm_uniform", "karras", "exponential", "ddim_uniform", "beta", "normal", "linear_quadratic", "kl_optimal", "AYS SDXL", "AYS SD1", "AYS SVD", "GITS[coeff=1.2]", "LTXV[default]", "OSS FLUX", "OSS Wan", "OSS Chroma"]], "denoise": ["FLOAT", {"default": 0.5, "min": 0.0001, "max": 1.0, "step": 0.01}], "noise_mask": ["BOOLEAN", {"default": true, "label_on": "enabled", "label_off": "disabled"}], "force_inpaint": ["BOOLEAN", {"default": true, "label_on": "enabled", "label_off": "disabled"}], "basic_pipe": ["BASIC_PIPE", {"tooltip": "If the `ImpactDummyInput` is connected to the model in the basic_pipe, the inference stage is skipped."}], "refiner_ratio": ["FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0}], "batch_size": ["INT", {"default": 1, "min": 1, "max": 100}], "cycle": ["INT", {"default": 1, "min": 1, "max": 10, "step": 1}]}, "optional": {"refiner_basic_pipe_opt": ["BASIC_PIPE"], "inpaint_model": ["BOOLEAN", {"default": false, "label_on": "enabled", "label_off": "disabled"}], "noise_mask_feather": ["INT", {"default": 20, "min": 0, "max": 100, "step": 1}], "scheduler_func_opt": ["SCHEDULER_FUNC"]}}, "input_order": {"required": ["image", "segs", "guide_size", "guide_size_for", "max_size", "seed", "steps", "cfg", "sampler_name", "scheduler", "denoise", "noise_mask", "force_inpaint", "basic_pipe", "refiner_ratio", "batch_size", "cycle"], "optional": ["refiner_basic_pipe_opt", "inpaint_model", "noise_mask_feather", "scheduler_func_opt"]}, "is_input_list": false, "output": ["SEGS", "IMAGE"], "output_is_list": [false, true], "output_name": ["segs", "cnet_images"], "name": "SEGSDetailer", "display_name": "SEGSDetailer", "description": "This node enhances details by inpainting each region within the detected area bundle (SEGS) after enlarging them based on the guide size.\nThis node is applied specifically to SEGS rather than the entire image. To apply it to the entire image, use the 'SEGS Paste' node.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Detailer", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SEGSPaste": {"input": {"required": {"image": ["IMAGE"], "segs": ["SEGS"], "feather": ["INT", {"default": 5, "min": 0, "max": 100, "step": 1}], "alpha": ["INT", {"default": 255, "min": 0, "max": 255, "step": 1}]}, "optional": {"ref_image_opt": ["IMAGE"]}}, "input_order": {"required": ["image", "segs", "feather", "alpha"], "optional": ["ref_image_opt"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "SEGSPaste", "display_name": "SEGSPaste", "description": "This node provides a function to paste the enhanced SEGS, improved through the SEGS detailer, back onto the original image.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Detailer", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SEGSPreview": {"input": {"required": {"segs": ["SEGS"], "alpha_mode": ["BOOLEAN", {"default": true, "label_on": "enable", "label_off": "disable"}], "min_alpha": ["FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0, "step": 0.01}]}, "optional": {"fallback_image_opt": ["IMAGE"]}}, "input_order": {"required": ["segs", "alpha_mode", "min_alpha"], "optional": ["fallback_image_opt"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [true], "output_name": ["IMAGE"], "name": "SEGSPreview", "display_name": "SEGSPreview", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "SEGSPreviewCNet": {"input": {"required": {"segs": ["SEGS"]}}, "input_order": {"required": ["segs"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [true], "output_name": ["IMAGE"], "name": "SEGSPreviewCNet", "display_name": "SEGSPreview (CNET Image)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "SEGSToImageList": {"input": {"required": {"segs": ["SEGS"]}, "optional": {"fallback_image_opt": ["IMAGE"]}}, "input_order": {"required": ["segs"], "optional": ["fallback_image_opt"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [true], "output_name": ["IMAGE"], "name": "SEGSToImageList", "display_name": "SEGSToImageList", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactSEGSToMaskList": {"input": {"required": {"segs": ["SEGS"]}}, "input_order": {"required": ["segs"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [true], "output_name": ["MASK"], "name": "ImpactSEGSToMaskList", "display_name": "SEGS to Mask List", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactSEGSToMaskBatch": {"input": {"required": {"segs": ["SEGS"]}}, "input_order": {"required": ["segs"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "ImpactSEGSToMaskBatch", "display_name": "SEGS to Mask Batch", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactSEGSConcat": {"input": {"required": {"segs1": ["SEGS"]}}, "input_order": {"required": ["segs1"]}, "is_input_list": false, "output": ["SEGS"], "output_is_list": [false], "output_name": ["SEGS"], "name": "ImpactSEGSConcat", "display_name": "SEGS Concat", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactSEGSPicker": {"input": {"required": {"picks": ["STRING", {"multiline": true, "dynamicPrompts": false, "pysssss.autocomplete": false}], "segs": ["SEGS"]}, "optional": {"fallback_image_opt": ["IMAGE"]}, "hidden": {"unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["picks", "segs"], "optional": ["fallback_image_opt"], "hidden": ["unique_id"]}, "is_input_list": false, "output": ["SEGS"], "output_is_list": [false], "output_name": ["SEGS"], "name": "ImpactSEGSPicker", "display_name": "Picker (SEGS)", "description": "This node provides a function to select only the chosen SEGS from the input SEGS.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactMakeTileSEGS": {"input": {"required": {"images": ["IMAGE"], "bbox_size": ["INT", {"default": 512, "min": 64, "max": 4096, "step": 8}], "crop_factor": ["FLOAT", {"default": 3.0, "min": 1.0, "max": 10, "step": 0.01}], "min_overlap": ["INT", {"default": 5, "min": 0, "max": 512, "step": 1}], "filter_segs_dilation": ["INT", {"default": 20, "min": -255, "max": 255, "step": 1}], "mask_irregularity": ["FLOAT", {"default": 0, "min": 0, "max": 1.0, "step": 0.01}], "irregular_mask_mode": [["Reuse fast", "Reuse quality", "All random fast", "All random quality"]]}, "optional": {"filter_in_segs_opt": ["SEGS"], "filter_out_segs_opt": ["SEGS"]}}, "input_order": {"required": ["images", "bbox_size", "crop_factor", "min_overlap", "filter_segs_dilation", "mask_irregularity", "irregular_mask_mode"], "optional": ["filter_in_segs_opt", "filter_out_segs_opt"]}, "is_input_list": false, "output": ["SEGS"], "output_is_list": [false], "output_name": ["SEGS"], "name": "ImpactMakeTileSEGS", "display_name": "Make Tile SEGS", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/__for_testing", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactSEGSMerge": {"input": {"required": {"segs": ["SEGS"]}}, "input_order": {"required": ["segs"]}, "is_input_list": false, "output": ["SEGS"], "output_is_list": [false], "output_name": ["SEGS"], "name": "ImpactSEGSMerge", "display_name": "SEGS Merge", "description": "SEGS contains multiple SEGs. SEGS Merge integrates several SEGs into a single merged SEG. The label is changed to `merged` and the confidence becomes the minimum confidence. The applied controlnet and cropped_image are removed.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SEGSDetailerForAnimateDiff": {"input": {"required": {"image_frames": ["IMAGE"], "segs": ["SEGS"], "guide_size": ["FLOAT", {"default": 512, "min": 64, "max": 16384, "step": 8}], "guide_size_for": ["BOOLEAN", {"default": true, "label_on": "bbox", "label_off": "crop_region"}], "max_size": ["FLOAT", {"default": 768, "min": 64, "max": 16384, "step": 8}], "seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615}], "steps": ["INT", {"default": 20, "min": 1, "max": 10000}], "cfg": ["FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0}], "sampler_name": [["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2", "exp_heun_2_x0", "exp_heun_2_x0_sde", "dpm_2", "dpm_2_ancestral", "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_2s_ancestral_cfg_pp", "dpmpp_sde", "dpmpp_sde_gpu", "dpmpp_2m", "dpmpp_2m_cfg_pp", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_2m_sde_heun", "dpmpp_2m_sde_heun_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", "ipndm", "ipndm_v", "deis", "res_multistep", "res_multistep_cfg_pp", "res_multistep_ancestral", "res_multistep_ancestral_cfg_pp", "gradient_estimation", "gradient_estimation_cfg_pp", "er_sde", "seeds_2", "seeds_3", "sa_solver", "sa_solver_pece", "ddim", "uni_pc", "uni_pc_bh2"]], "scheduler": [["simple", "sgm_uniform", "karras", "exponential", "ddim_uniform", "beta", "normal", "linear_quadratic", "kl_optimal", "AYS SDXL", "AYS SD1", "AYS SVD", "GITS[coeff=1.2]", "LTXV[default]", "OSS FLUX", "OSS Wan", "OSS Chroma"]], "denoise": ["FLOAT", {"default": 0.5, "min": 0.0001, "max": 1.0, "step": 0.01}], "basic_pipe": ["BASIC_PIPE", {"tooltip": "If the `ImpactDummyInput` is connected to the model in the basic_pipe, the inference stage is skipped."}], "refiner_ratio": ["FLOAT", {"default": 0.2, "min": 0.0, "max": 1.0}]}, "optional": {"refiner_basic_pipe_opt": ["BASIC_PIPE"], "noise_mask_feather": ["INT", {"default": 20, "min": 0, "max": 100, "step": 1}], "scheduler_func_opt": ["SCHEDULER_FUNC"]}}, "input_order": {"required": ["image_frames", "segs", "guide_size", "guide_size_for", "max_size", "seed", "steps", "cfg", "sampler_name", "scheduler", "denoise", "basic_pipe", "refiner_ratio"], "optional": ["refiner_basic_pipe_opt", "noise_mask_feather", "scheduler_func_opt"]}, "is_input_list": false, "output": ["SEGS", "IMAGE"], "output_is_list": [false, true], "output_name": ["segs", "cnet_images"], "name": "SEGSDetailerForAnimateDiff", "display_name": "SEGSDetailer For Video (SEGS/pipe)", "description": "This node enhances details by inpainting each region within the detected area bundle (SEGS) after enlarging them based on the guide size.\nThis node is applied specifically to SEGS rather than the entire image. To apply it to the entire image, use the 'SEGS Paste' node.\nAs a specialized detailer node for improving video details, such as in AnimateDiff, this node can handle cases where the masks contained in SEGS serve as batch masks spanning multiple frames.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Detailer", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactKSamplerBasicPipe": {"input": {"required": {"basic_pipe": ["BASIC_PIPE", {"tooltip": "basic_pipe input for sampling"}], "seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615, "tooltip": "Random seed to use for generating CPU noise for sampling."}], "steps": ["INT", {"default": 20, "min": 1, "max": 10000, "tooltip": "total sampling steps"}], "cfg": ["FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "tooltip": "classifier free guidance value"}], "sampler_name": [["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2", "exp_heun_2_x0", "exp_heun_2_x0_sde", "dpm_2", "dpm_2_ancestral", "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_2s_ancestral_cfg_pp", "dpmpp_sde", "dpmpp_sde_gpu", "dpmpp_2m", "dpmpp_2m_cfg_pp", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_2m_sde_heun", "dpmpp_2m_sde_heun_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", "ipndm", "ipndm_v", "deis", "res_multistep", "res_multistep_cfg_pp", "res_multistep_ancestral", "res_multistep_ancestral_cfg_pp", "gradient_estimation", "gradient_estimation_cfg_pp", "er_sde", "seeds_2", "seeds_3", "sa_solver", "sa_solver_pece", "ddim", "uni_pc", "uni_pc_bh2"], {"tooltip": "sampler"}], "scheduler": [["simple", "sgm_uniform", "karras", "exponential", "ddim_uniform", "beta", "normal", "linear_quadratic", "kl_optimal", "AYS SDXL", "AYS SD1", "AYS SVD", "GITS[coeff=1.2]", "LTXV[default]", "OSS FLUX", "OSS Wan", "OSS Chroma"], {"tooltip": "noise schedule"}], "latent_image": ["LATENT", {"tooltip": "input latent image"}], "denoise": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "The amount of noise to remove. This amount is the noise added at the start, and the higher it is, the more the input latent will be modified before being returned."}]}, "optional": {"scheduler_func_opt": ["SCHEDULER_FUNC", {"tooltip": "[OPTIONAL] Noise schedule generation function. If this is set, the scheduler widget will be ignored."}]}}, "input_order": {"required": ["basic_pipe", "seed", "steps", "cfg", "sampler_name", "scheduler", "latent_image", "denoise"], "optional": ["scheduler_func_opt"]}, "is_input_list": false, "output": ["BASIC_PIPE", "LATENT", "VAE"], "output_is_list": [false, false, false], "output_name": ["BASIC_PIPE", "LATENT", "VAE"], "name": "ImpactKSamplerBasicPipe", "display_name": "KSampler (pipe)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/sampling", "output_node": false, "has_intermediate_output": false, "output_tooltips": ["passthrough input basic_pipe", "result latent", "VAE in basic_pipe"], "search_aliases": []}, "ImpactKSamplerAdvancedBasicPipe": {"input": {"required": {"basic_pipe": ["BASIC_PIPE", {"tooltip": "basic_pipe input for sampling"}], "add_noise": ["BOOLEAN", {"default": true, "label_on": "enable", "label_off": "disable", "tooltip": "Whether to add noise"}], "noise_seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615, "tooltip": "Random seed to use for generating CPU noise for sampling."}], "steps": ["INT", {"default": 20, "min": 1, "max": 10000, "tooltip": "total sampling steps"}], "cfg": ["FLOAT", {"default": 8.0, "min": 0.0, "max": 100.0, "tooltip": "classifier free guidance value"}], "sampler_name": [["euler", "euler_cfg_pp", "euler_ancestral", "euler_ancestral_cfg_pp", "heun", "heunpp2", "exp_heun_2_x0", "exp_heun_2_x0_sde", "dpm_2", "dpm_2_ancestral", "lms", "dpm_fast", "dpm_adaptive", "dpmpp_2s_ancestral", "dpmpp_2s_ancestral_cfg_pp", "dpmpp_sde", "dpmpp_sde_gpu", "dpmpp_2m", "dpmpp_2m_cfg_pp", "dpmpp_2m_sde", "dpmpp_2m_sde_gpu", "dpmpp_2m_sde_heun", "dpmpp_2m_sde_heun_gpu", "dpmpp_3m_sde", "dpmpp_3m_sde_gpu", "ddpm", "lcm", "ipndm", "ipndm_v", "deis", "res_multistep", "res_multistep_cfg_pp", "res_multistep_ancestral", "res_multistep_ancestral_cfg_pp", "gradient_estimation", "gradient_estimation_cfg_pp", "er_sde", "seeds_2", "seeds_3", "sa_solver", "sa_solver_pece", "ddim", "uni_pc", "uni_pc_bh2"], {"tooltip": "sampler"}], "scheduler": [["simple", "sgm_uniform", "karras", "exponential", "ddim_uniform", "beta", "normal", "linear_quadratic", "kl_optimal", "AYS SDXL", "AYS SD1", "AYS SVD", "GITS[coeff=1.2]", "LTXV[default]", "OSS FLUX", "OSS Wan", "OSS Chroma"], {"tooltip": "noise schedule"}], "latent_image": ["LATENT", {"tooltip": "input latent image"}], "start_at_step": ["INT", {"default": 0, "min": 0, "max": 10000, "tooltip": "The starting step of the sampling to be applied at this node within the range of 'steps'."}], "end_at_step": ["INT", {"default": 10000, "min": 0, "max": 10000, "tooltip": "The step at which sampling applied at this node will stop within the range of steps (if greater than steps, sampling will continue only up to steps)."}], "return_with_leftover_noise": ["BOOLEAN", {"default": false, "label_on": "enable", "label_off": "disable", "tooltip": "Whether to return the latent with noise remaining if the noise has not been completely removed according to the noise schedule, or to completely remove the noise before returning it."}]}, "optional": {"scheduler_func_opt": ["SCHEDULER_FUNC", {"tooltip": "[OPTIONAL] Noise schedule generation function. If this is set, the scheduler widget will be ignored."}]}}, "input_order": {"required": ["basic_pipe", "add_noise", "noise_seed", "steps", "cfg", "sampler_name", "scheduler", "latent_image", "start_at_step", "end_at_step", "return_with_leftover_noise"], "optional": ["scheduler_func_opt"]}, "is_input_list": false, "output": ["BASIC_PIPE", "LATENT", "VAE"], "output_is_list": [false, false, false], "output_name": ["BASIC_PIPE", "LATENT", "VAE"], "name": "ImpactKSamplerAdvancedBasicPipe", "display_name": "KSampler (Advanced/pipe)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/sampling", "output_node": false, "has_intermediate_output": false, "output_tooltips": ["passthrough input basic_pipe", "result latent", "VAE in basic_pipe"], "search_aliases": []}, "ReencodeLatent": {"input": {"required": {"samples": ["LATENT"], "tile_mode": [["None", "Both", "Decode(input) only", "Encode(output) only"]], "input_vae": ["VAE"], "output_vae": ["VAE"], "tile_size": ["INT", {"default": 512, "min": 320, "max": 4096, "step": 64}]}, "optional": {"overlap": ["INT", {"default": 64, "min": 0, "max": 4096, "step": 32, "tooltip": "This setting applies when 'tile_mode' is enabled."}]}}, "input_order": {"required": ["samples", "tile_mode", "input_vae", "output_vae", "tile_size"], "optional": ["overlap"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "ReencodeLatent", "display_name": "Reencode Latent", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ReencodeLatentPipe": {"input": {"required": {"samples": ["LATENT"], "tile_mode": [["None", "Both", "Decode(input) only", "Encode(output) only"]], "input_basic_pipe": ["BASIC_PIPE"], "output_basic_pipe": ["BASIC_PIPE"]}}, "input_order": {"required": ["samples", "tile_mode", "input_basic_pipe", "output_basic_pipe"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "ReencodeLatentPipe", "display_name": "Reencode Latent (pipe)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactImageBatchToImageList": {"input": {"required": {"image": ["IMAGE"]}}, "input_order": {"required": ["image"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [true], "output_name": ["IMAGE"], "name": "ImpactImageBatchToImageList", "display_name": "Image Batch to Image List", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactMakeImageList": {"input": {"optional": {"image1": ["IMAGE"]}}, "input_order": {"optional": ["image1"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [true], "output_name": ["IMAGE"], "name": "ImpactMakeImageList", "display_name": "Make Image List", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactMakeImageBatch": {"input": {"optional": {"image1": ["IMAGE"]}}, "input_order": {"optional": ["image1"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImpactMakeImageBatch", "display_name": "Make Image Batch", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactMakeAnyList": {"input": {"required": {}, "optional": {"value1": ["*"]}}, "input_order": {"required": [], "optional": ["value1"]}, "is_input_list": false, "output": ["*"], "output_is_list": [true], "output_name": ["*"], "name": "ImpactMakeAnyList", "display_name": "Make List (Any)", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactMakeMaskList": {"input": {"required": {"mask1": ["MASK"]}}, "input_order": {"required": ["mask1"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [true], "output_name": ["MASK"], "name": "ImpactMakeMaskList", "display_name": "Make Mask List", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactMakeMaskBatch": {"input": {"optional": {"mask1": ["MASK"]}}, "input_order": {"optional": ["mask1"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "ImpactMakeMaskBatch", "display_name": "Make Mask Batch", "description": "", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImpactSelectNthItemOfAnyList": {"input": {"required": {"any_list": ["*"], "index": ["INT", {"default": 0, "min": 0, "max": 9223372036854775807, "step": 1, "tooltip": "The index of the item you want to select from the list."}]}}, "input_order": {"required": ["any_list", "index"]}, "is_input_list": true, "output": ["*"], "output_is_list": [false], "output_name": ["*"], "name": "ImpactSelectNthItemOfAnyList", "display_name": "Select Nth Item (Any list)", "description": "Selects the Nth item from a list. If the index is out of range, it returns the last item in the list.", "python_module": "custom_nodes.comfyui-impact-pack", "category": "ImpactPack/Util", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "RegionalSampler": {"input": {"required": {"seed": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615, "tooltip": "Random seed to use for generating CPU noise for sampling."}], "seed_2nd": ["INT", {"default": 0, "min": 0, "max": 18446744073709551615, "tooltip": "Additional noise seed. The behavior is determined by seed_2nd_mode."}], "seed_2nd_mode": [["ignore", "fixed", "seed+seed_2nd", "seed-seed_2nd", "increment", "decrement", "randomize"], {"tooltip": "application method of seed_2nd. 1) ignore: Do not use seed_2nd. In the base only sampling stage, the seed is applied as a noise seed, and in the regional sampling stage, denoising is performed as it is without additional noise. 2) Others: In the base only sampling stage, the seed is applied as a noise seed, and once it is closed so that there is no leftover noise, new noise is added with seed_2nd and the regional samping stage is performed. a) fixed: Use seed_2nd as it is as an additional noise seed. b) seed+seed_2nd: Apply the value of seed+seed_2nd as an additional noise seed. c) seed-seed_2nd: Apply the value of seed-seed_2nd as an additional noise seed. d) increment: Not implemented yet. Same with fixed. e) decrement: Not implemented yet. Same with fixed. f) randomize: Not implemented yet. Same with fixed."}], "steps": ["INT", {"default": 20, "min": 1, "max": 10000, "tooltip": "total sampling steps"}], "base_only_steps": ["INT", {"default": 2, "min": 0, "max": 10000, "tooltip": "total sampling steps"}], "denoise": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01, "tooltip": "The amount of noise to remove. This amount is the noise added at the start, and the higher it is, the more the input latent will be modified before being returned."}], "samples": ["LATENT", {"tooltip": "input latent image"}], "base_sampler": ["KSAMPLER_ADVANCED", {"tooltip": "The sampler applied outside the area set by the regional_prompt."}], "regional_prompts": ["REGIONAL_PROMPTS", {"tooltip": "The prompt applied to each region"}], "overlap_factor": ["INT", {"default": 10, "min": 0, "max": 10000, "tooltip": "To smooth the seams of the region boundaries, expand the mask set in regional_prompts by the overlap_factor amount to overlap with other regions."}], "restore_latent": ["BOOLEAN", {"default": true, "label_on": "enabled", "label_off": "disabled", "tooltip": "At each step, restore the noise outside the mask area to its original state, as per the principle of inpainting. This option is provided for backward compatibility, and it is recommended to always set it to true."}], "additional_mode": [["DISABLE", "ratio additional", "ratio between"], {"default": "ratio between", "tooltip": "..._sde or uni_pc and other special samplers are used, the region is not properly denoised, and it causes a phenomenon that destroys the overall harmony. To compensate for this, a recovery operation is performed using another sampler. This requires a longer time for sampling because a second sampling is performed at each step in each region using a special sampler. 1) DISABLE: Disable this feature. 2) ratio additional: After performing the denoise amount to be performed in the step with the sampler set in the region, the recovery sampler is additionally applied by the additional_sigma_ratio. If you use this option, the total denoise amount increases by additional_sigma_ratio. 3) ratio between: The denoise amount to be performed in the step with the sampler set in the region and the denoise amount to be applied to the recovery sampler are divided by additional_sigma_ratio, and denoise is performed for each denoise amount. If you use this option, the total denoise amount does not change."}], "additional_sampler": [["AUTO", "euler", "heun", "heunpp2", "dpm_2", "dpm_fast", "dpmpp_2m", "ddpm"], {"tooltip": "1) AUTO: Automatically set the recovery sampler. 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If you use this option, the total denoise amount does not change."}], "additional_sampler": [["AUTO", "euler", "heun", "heunpp2", "dpm_2", "dpm_fast", "dpmpp_2m", "ddpm"], {"tooltip": "1) AUTO: Automatically set the recovery sampler. 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["CONDITIONING"], "negative_4": ["CONDITIONING"], "positive_5": ["CONDITIONING"], "negative_5": ["CONDITIONING"], "mask_1": ["MASK"], "mask_2": ["MASK"], "mask_3": ["MASK"], "mask_4": ["MASK"], "mask_5": ["MASK"], "mask_1_strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "mask_2_strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "mask_3_strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "mask_4_strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "mask_5_strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "set_cond_area": [["default", "mask bounds"]]}}, "input_order": {"required": ["positive_1", "negative_1", "positive_2", "negative_2", "positive_3", "negative_3", "positive_4", "negative_4", "positive_5", "negative_5", "mask_1", "mask_2", "mask_3", "mask_4", "mask_5", "mask_1_strength", "mask_2_strength", "mask_3_strength", "mask_4_strength", "mask_5_strength", "set_cond_area"]}, "is_input_list": false, "output": ["CONDITIONING", "CONDITIONING"], "output_is_list": [false, false], "output_name": ["combined_positive", "combined_negative"], "name": "ConditioningSetMaskAndCombine5", "display_name": "ConditioningSetMaskAndCombine5", "description": "\nBundles multiple conditioning mask and combine nodes into one,functionality is identical to ComfyUI native nodes\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking/conditioning", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CondPassThrough": {"input": {"required": {}, "optional": {"positive": ["CONDITIONING"], "negative": ["CONDITIONING"]}}, "input_order": {"required": [], "optional": ["positive", "negative"]}, "is_input_list": false, "output": ["CONDITIONING", "CONDITIONING"], "output_is_list": [false, false], "output_name": ["positive", "negative"], "name": "CondPassThrough", "display_name": "CondPassThrough", "description": "\n    Simply passes through the positive and negative conditioning,\n    workaround for Set node not allowing bypassed inputs.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/misc", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "DownloadAndLoadCLIPSeg": {"input": {"required": {"model": [["Kijai/clipseg-rd64-refined-fp16", "CIDAS/clipseg-rd64-refined"]]}}, "input_order": {"required": ["model"]}, "is_input_list": false, "output": ["CLIPSEGMODEL"], "output_is_list": [false], "output_name": ["clipseg_model"], "name": "DownloadAndLoadCLIPSeg", "display_name": "(Down)load CLIPSeg", "description": "\nDownloads and loads CLIPSeg model with huggingface_hub,  \nto ComfyUI/models/clip_seg\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "BatchCLIPSeg": {"input": {"required": {"images": ["IMAGE"], "text": ["STRING", {"multiline": false}], "threshold": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 10.0, "step": 0.001}], "binary_mask": ["BOOLEAN", {"default": true}], "combine_mask": ["BOOLEAN", {"default": false}], "use_cuda": ["BOOLEAN", {"default": true}]}, "optional": {"blur_sigma": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step": 0.1}], "opt_model": ["CLIPSEGMODEL"], "prev_mask": ["MASK", {"default": null}], "image_bg_level": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "invert": ["BOOLEAN", {"default": false}]}}, "input_order": {"required": ["images", "text", "threshold", "binary_mask", "combine_mask", "use_cuda"], "optional": ["blur_sigma", "opt_model", "prev_mask", "image_bg_level", "invert"]}, "is_input_list": false, "output": ["MASK", "IMAGE"], "output_is_list": [false, false], "output_name": ["Mask", "Image"], "name": "BatchCLIPSeg", "display_name": "Batch CLIPSeg", "description": "\nSegments an image or batch of images using CLIPSeg.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ColorToMask": {"input": {"required": {"images": ["IMAGE"], "invert": ["BOOLEAN", {"default": false}], "red": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "green": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "blue": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "threshold": ["INT", {"default": 10, "min": 0, "max": 255, "step": 1}], "per_batch": ["INT", {"default": 16, "min": 1, "max": 4096, "step": 1}]}}, "input_order": {"required": ["images", "invert", "red", "green", "blue", "threshold", "per_batch"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "ColorToMask", "display_name": "Color To Mask", "description": "\nConverts chosen RGB value to a mask.  \nWith batch inputs, the **per_batch**  \ncontrols the number of images processed at once.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateGradientMask": {"input": {"required": {"invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "width": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}]}}, "input_order": {"required": ["invert", "frames", "width", "height"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "CreateGradientMask", "display_name": "Create Gradient Mask", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking/generate", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateTextMask": {"input": {"required": {"invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}], "text_x": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}], "text_y": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}], "font_size": ["INT", {"default": 32, "min": 8, "max": 4096, "step": 1}], "font_color": ["STRING", {"default": "white"}], "text": ["STRING", {"default": "HELLO!", "multiline": true}], "font": [["FreeMono.ttf", "FreeMonoBoldOblique.otf", "TTNorms-Black.otf"]], "width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "start_rotation": ["INT", {"default": 0, "min": 0, "max": 359, "step": 1}], "end_rotation": ["INT", {"default": 0, "min": -359, "max": 359, "step": 1}]}}, "input_order": {"required": ["invert", "frames", "text_x", "text_y", "font_size", "font_color", "text", "font", "width", "height", "start_rotation", "end_rotation"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "CreateTextMask", "display_name": "Create Text Mask", "description": "\nCreates a text image and mask.  \nLooks for fonts from this folder:  \nComfyUI/custom_nodes/ComfyUI-KJNodes/fonts\n  \nIf start_rotation and/or end_rotation are different values,  \ncreates animation between them.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/text", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateAudioMask": {"input": {"required": {"invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 16, "min": 1, "max": 255, "step": 1}], "scale": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 2.0, "step": 0.01}], "audio_path": ["STRING", {"default": "audio.wav"}], "width": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}]}}, "input_order": {"required": ["invert", "frames", "scale", "audio_path", "width", "height"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "CreateAudioMask", "display_name": "Create Audio Mask", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/deprecated", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateFadeMask": {"input": {"required": {"invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 2, "min": 2, "max": 10000, "step": 1}], "width": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out"]], "start_level": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}], "midpoint_level": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "end_level": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}], "midpoint_frame": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}]}}, "input_order": {"required": ["invert", "frames", "width", "height", "interpolation", "start_level", "midpoint_level", "end_level", "midpoint_frame"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "CreateFadeMask", "display_name": "Create Fade Mask", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/deprecated", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateFadeMaskAdvanced": {"input": {"required": {"points_string": ["STRING", {"default": "0:(0.0),\n7:(1.0),\n15:(0.0)\n", "multiline": true}], "invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 16, "min": 2, "max": 10000, "step": 1}], "width": ["INT", {"default": 512, "min": 1, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 1, "max": 4096, "step": 1}], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out", "none", "default_to_black"]]}}, "input_order": {"required": ["points_string", "invert", "frames", "width", "height", "interpolation"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "CreateFadeMaskAdvanced", "display_name": "Create Fade Mask Advanced", "description": "\nCreate a batch of masks interpolated between given frames and values. \nUses same syntax as Fizz' BatchValueSchedule.\nFirst value is the frame index (not that this starts from 0, not 1) \nand the second value inside the brackets is the float value of the mask in range 0.0 - 1.0  \n\nFor example the default values:  \n0:(0.0)  \n7:(1.0)  \n15:(0.0)  \n  \nWould create a mask batch fo 16 frames, starting from black, \ninterpolating with the chosen curve to fully white at the 8th frame, \nand interpolating from that to fully black at the 16th frame.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking/generate", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateFluidMask": {"input": {"required": {"invert": ["BOOLEAN", {"default": false}], "frames": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}], "width": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 256, "min": 16, "max": 4096, "step": 1}], "inflow_count": ["INT", {"default": 3, "min": 0, "max": 255, "step": 1}], "inflow_velocity": ["INT", {"default": 1, "min": 0, "max": 255, "step": 1}], "inflow_radius": ["INT", {"default": 8, "min": 0, "max": 255, "step": 1}], "inflow_padding": ["INT", {"default": 50, "min": 0, "max": 255, "step": 1}], "inflow_duration": ["INT", {"default": 60, "min": 0, "max": 255, "step": 1}]}}, "input_order": {"required": ["invert", "frames", "width", "height", "inflow_count", "inflow_velocity", "inflow_radius", "inflow_padding", "inflow_duration"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "CreateFluidMask", "display_name": "Create Fluid Mask", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking/generate", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateShapeMask": {"input": {"required": {"shape": [["circle", "square", "triangle"], {"default": "circle"}], "frames": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}], "location_x": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "location_y": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "grow": ["INT", {"default": 0, "min": -512, "max": 512, "step": 1}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "shape_width": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}], "shape_height": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}]}}, "input_order": {"required": ["shape", "frames", "location_x", "location_y", "grow", "frame_width", "frame_height", "shape_width", "shape_height"]}, "is_input_list": false, "output": ["MASK", "MASK"], "output_is_list": [false, false], "output_name": ["mask", "mask_inverted"], "name": "CreateShapeMask", "display_name": "Create Shape Mask", "description": "\nCreates a mask or batch of masks with the specified shape.  \nLocations are center locations.  \nGrow value is the amount to grow the shape on each frame, creating animated masks.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking/generate", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateVoronoiMask": {"input": {"required": {"frames": ["INT", {"default": 16, "min": 2, "max": 4096, "step": 1}], "num_points": ["INT", {"default": 15, "min": 1, "max": 4096, "step": 1}], "line_width": ["INT", {"default": 4, "min": 1, "max": 4096, "step": 1}], "speed": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}]}}, "input_order": {"required": ["frames", "num_points", "line_width", "speed", "frame_width", "frame_height"]}, "is_input_list": false, "output": ["MASK", "MASK"], "output_is_list": [false, false], "output_name": ["mask", "mask_inverted"], "name": "CreateVoronoiMask", "display_name": "Create Voronoi Mask", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking/generate", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateMagicMask": {"input": {"required": {"frames": ["INT", {"default": 16, "min": 2, "max": 4096, "step": 1}], "depth": ["INT", {"default": 12, "min": 1, "max": 500, "step": 1}], "distortion": ["FLOAT", {"default": 1.5, "min": 0.0, "max": 100.0, "step": 0.01}], "seed": ["INT", {"default": 123, "min": 0, "max": 99999999, "step": 1}], "transitions": ["INT", {"default": 1, "min": 1, "max": 20, "step": 1}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}]}}, "input_order": {"required": ["frames", "depth", "distortion", "seed", "transitions", "frame_width", "frame_height"]}, "is_input_list": false, "output": ["MASK", "MASK"], "output_is_list": [false, false], "output_name": ["mask", "mask_inverted"], "name": "CreateMagicMask", "display_name": "Create Magic Mask", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking/generate", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "GetMaskSizeAndCount": {"input": {"required": {"mask": ["MASK"]}}, "input_order": {"required": ["mask"]}, "is_input_list": false, "output": ["MASK", "INT", "INT", "INT"], "output_is_list": [false, false, false, false], "output_name": ["mask", "width", "height", "count"], "name": "GetMaskSizeAndCount", "display_name": "Get Mask Size & Count", "description": "\nReturns the width, height and batch size of the mask,  \nand passes it through unchanged.  \n\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "GrowMaskWithBlur": {"input": {"required": {"mask": ["MASK"], "expand": ["INT", {"default": 0, "min": -16384, "max": 16384, "step": 1}], "incremental_expandrate": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step": 0.1}], "tapered_corners": ["BOOLEAN", {"default": true}], "flip_input": ["BOOLEAN", {"default": false}], "blur_radius": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 100, "step": 0.1}], "lerp_alpha": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}], "decay_factor": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}]}, "optional": {"fill_holes": ["BOOLEAN", {"default": false}]}}, "input_order": {"required": ["mask", "expand", "incremental_expandrate", "tapered_corners", "flip_input", "blur_radius", "lerp_alpha", "decay_factor"], "optional": ["fill_holes"]}, "is_input_list": false, "output": ["MASK", "MASK"], "output_is_list": [false, false], "output_name": ["mask", "mask_inverted"], "name": "GrowMaskWithBlur", "display_name": "Grow Mask With Blur", "description": "\n# GrowMaskWithBlur\n- mask: Input mask or mask batch\n- expand: Expand or contract mask or mask batch by a given amount\n- incremental_expandrate: increase expand rate by a given amount per frame\n- tapered_corners: use tapered corners\n- flip_input: flip input mask\n- blur_radius: value higher than 0 will blur the mask\n- lerp_alpha: alpha value for interpolation between frames\n- decay_factor: decay value for interpolation between frames\n- fill_holes: fill holes in the mask (slow)", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "MaskBatchMulti": {"input": {"required": {"inputcount": ["INT", {"default": 2, "min": 2, "max": 1000, "step": 1}], "mask_1": ["MASK"], "mask_2": ["MASK"]}}, "input_order": {"required": ["inputcount", "mask_1", "mask_2"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["masks"], "name": "MaskBatchMulti", "display_name": "Mask Batch Multi", "description": "\nCreates an image batch from multiple masks.  \nYou can set how many inputs the node has,  \nwith the **inputcount** and clicking update.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "OffsetMask": {"input": {"required": {"mask": ["MASK"], "x": ["INT", {"default": 0, "min": -4096, "max": 16384, "step": 1, "display": "number"}], "y": ["INT", {"default": 0, "min": -4096, "max": 16384, "step": 1, "display": "number"}], "angle": ["INT", {"default": 0, "min": -360, "max": 360, "step": 1, "display": "number"}], "duplication_factor": ["INT", {"default": 1, "min": 1, "max": 1000, "step": 1, "display": "number"}], "roll": ["BOOLEAN", {"default": false}], "incremental": ["BOOLEAN", {"default": false}], "padding_mode": [["empty", "border", "reflection"], {"default": "empty"}]}}, "input_order": {"required": ["mask", "x", "y", "angle", "duplication_factor", "roll", "incremental", "padding_mode"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["mask"], "name": "OffsetMask", "display_name": "Offset Mask", "description": "\nOffsets the mask by the specified amount.  \n - mask: Input mask or mask batch\n - x: Horizontal offset\n - y: Vertical offset\n - angle: Angle in degrees\n - roll: roll edge wrapping\n - duplication_factor: Number of times to duplicate the mask to form a batch\n - border padding_mode: Padding mode for the mask\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "RemapMaskRange": {"input": {"required": {"mask": ["MASK"], "min": ["FLOAT", {"default": 0.0, "min": -10.0, "max": 1.0, "step": 0.01}], "max": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}]}}, "input_order": {"required": ["mask", "min", "max"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["mask"], "name": "RemapMaskRange", "display_name": "Remap Mask Range", "description": "\nSets new min and max values for the mask.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ResizeMask": {"input": {"required": {"mask": ["MASK"], "width": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 1, "display": "number"}], "height": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 1, "display": "number"}], "keep_proportions": ["BOOLEAN", {"default": false}], "upscale_method": [["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]], "crop": [["disabled", "center"]]}}, "input_order": {"required": ["mask", "width", "height", "keep_proportions", "upscale_method", "crop"]}, "is_input_list": false, "output": ["MASK", "INT", "INT"], "output_is_list": [false, false, false], "output_name": ["mask", "width", "height"], "name": "ResizeMask", "display_name": "Resize Mask", "description": "\nResizes the mask or batch of masks to the specified width and height.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "RoundMask": {"input": {"required": {"mask": ["MASK"]}}, "input_order": {"required": ["mask"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "RoundMask", "display_name": "Round Mask", "description": "\nRounds the mask or batch of masks to a binary mask.  \n<img src=\"https://github.com/kijai/ComfyUI-KJNodes/assets/40791699/52c85202-f74e-4b96-9dac-c8bda5ddcc40\" width=\"300\" height=\"250\" alt=\"RoundMask example\">\n\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SeparateMasks": {"input": {"required": {"mask": ["MASK"], "size_threshold_width": ["INT", {"default": 256, "min": 0.0, "max": 4096, "step": 1}], "size_threshold_height": ["INT", {"default": 256, "min": 0.0, "max": 4096, "step": 1}], "mode": [["convex_polygons", "area", "box"]], "max_poly_points": ["INT", {"default": 8, "min": 3, "max": 32, "step": 1}]}}, "input_order": {"required": ["mask", "size_threshold_width", "size_threshold_height", "mode", "max_poly_points"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["mask"], "name": "SeparateMasks", "display_name": "Separate Masks", "description": "Separates a mask into multiple masks based on the size of the connected components.", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "AddLabel": {"input": {"required": {"image": ["IMAGE"], "text_x": ["INT", {"default": 10, "min": 0, "max": 4096, "step": 1}], "text_y": ["INT", {"default": 2, "min": 0, "max": 4096, "step": 1}], "height": ["INT", {"default": 48, "min": -1, "max": 4096, "step": 1}], "font_size": ["INT", {"default": 32, "min": 0, "max": 4096, "step": 1}], "font_color": ["STRING", {"default": "white"}], "label_color": ["STRING", {"default": "black"}], "font": [["FreeMono.ttf", "FreeMonoBoldOblique.otf", "TTNorms-Black.otf"]], "text": ["STRING", {"default": "Text"}], "direction": [["up", "down", "left", "right", "overlay"], {"default": "up"}]}, "optional": {"caption": ["STRING", {"default": "", "forceInput": true}]}}, "input_order": {"required": ["image", "text_x", "text_y", "height", "font_size", "font_color", "label_color", "font", "text", "direction"], "optional": ["caption"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "AddLabel", "display_name": "Add Label", "description": "\nCreates a new with the given text, and concatenates it to  \neither above or below the input image.  \nNote that this changes the input image's height!  \nFonts are loaded from this folder:  \nComfyUI/custom_nodes/ComfyUI-KJNodes/fonts\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/text", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ColorMatch": {"input": {"required": {"image_ref": ["IMAGE"], "image_target": ["IMAGE"], "method": [["mkl", "hm", "reinhard", "mvgd", "hm-mvgd-hm", "hm-mkl-hm"], {"default": "mkl"}]}, "optional": {"strength": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}]}}, "input_order": {"required": ["image_ref", "image_target", "method"], "optional": ["strength"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "ColorMatch", "display_name": "Color Match", "description": "\ncolor-matcher enables color transfer across images which comes in handy for automatic  \ncolor-grading of photographs, paintings and film sequences as well as light-field  \nand stopmotion corrections.  \n\nThe methods behind the mappings are based on the approach from Reinhard et al.,  \nthe Monge-Kantorovich Linearization (MKL) as proposed by Pitie et al. and our analytical solution  \nto a Multi-Variate Gaussian Distribution (MVGD) transfer in conjunction with classical histogram   \nmatching. As shown below our HM-MVGD-HM compound outperforms existing methods.   \nhttps://github.com/hahnec/color-matcher/\n\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageTensorList": {"input": {"required": {"image1": ["IMAGE"], "image2": ["IMAGE"]}}, "input_order": {"required": ["image1", "image2"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageTensorList", "display_name": "Image Tensor List", "description": "\nCreates an image list from the input images.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CrossFadeImages": {"input": {"required": {"images_1": ["IMAGE"], "images_2": ["IMAGE"], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out", "bounce", "elastic", "glitchy", "exponential_ease_out"]], "transition_start_index": ["INT", {"default": 1, "min": 0, "max": 4096, "step": 1}], "transitioning_frames": ["INT", {"default": 1, "min": 0, "max": 4096, "step": 1}], "start_level": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}], "end_level": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}]}}, "input_order": {"required": ["images_1", "images_2", "interpolation", "transition_start_index", "transitioning_frames", "start_level", "end_level"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "CrossFadeImages", "display_name": "Cross Fade Images", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CrossFadeImagesMulti": {"input": {"required": {"inputcount": ["INT", {"default": 2, "min": 2, "max": 1000, "step": 1}], "image_1": ["IMAGE"], "image_2": ["IMAGE"], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out", "bounce", "elastic", "glitchy", "exponential_ease_out"]], "transitioning_frames": ["INT", {"default": 1, "min": 0, "max": 4096, "step": 1}]}}, "input_order": {"required": ["inputcount", "image_1", "image_2", "interpolation", "transitioning_frames"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "CrossFadeImagesMulti", "display_name": "Cross Fade Images Multi", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "GetImagesFromBatchIndexed": {"input": {"required": {"images": ["IMAGE"], "indexes": ["STRING", {"default": "0, 1, 2", "multiline": true}]}}, "input_order": {"required": ["images", "indexes"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "GetImagesFromBatchIndexed", "display_name": "Get Images From Batch Indexed", "description": "\nSelects and returns the images at the specified indices as an image batch.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "GetImageRangeFromBatch": {"input": {"required": {"start_index": ["INT", {"default": 0, "min": -1, "max": 4096, "step": 1}], "num_frames": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}]}, "optional": {"images": ["IMAGE"], "masks": ["MASK"]}}, "input_order": {"required": ["start_index", "num_frames"], "optional": ["images", "masks"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "GetImageRangeFromBatch", "display_name": "Get Image or Mask Range From Batch", "description": "\nReturns a range of images from a batch.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "GetLatentRangeFromBatch": {"input": {"required": {"latents": ["LATENT"], "start_index": ["INT", {"default": 0, "min": -1, "max": 4096, "step": 1}], "num_frames": ["INT", {"default": 1, "min": -1, "max": 4096, "step": 1}]}}, "input_order": {"required": ["latents", "start_index", "num_frames"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "GetLatentRangeFromBatch", "display_name": "Get Latent Range From Batch", "description": "\nReturns a range of latents from a batch.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/latents", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "GetImageSizeAndCount": {"input": {"required": {"image": ["IMAGE"]}}, "input_order": {"required": ["image"]}, "is_input_list": false, "output": ["IMAGE", "INT", "INT", "INT"], "output_is_list": [false, false, false, false], "output_name": ["image", "width", "height", "count"], "name": "GetImageSizeAndCount", "display_name": "Get Image Size & Count", "description": "\nReturns width, height and batch size of the image,  \nand passes it through unchanged.  \n\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "FastPreview": {"input": {"required": {"image": ["IMAGE"], "format": [["JPEG", "PNG", "WEBP"], {"default": "JPEG"}], "quality": ["INT", {"default": 75, "min": 1, "max": 100, "step": 1}]}}, "input_order": {"required": ["image", "format", "quality"]}, "is_input_list": false, "output": [], "output_is_list": [], "output_name": [], "name": "FastPreview", "display_name": "Fast Preview", "description": "Experimental node for faster image previews by displaying through base64 it without saving to disk.", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "ImageBatchFilter": {"input": {"required": {"images": ["IMAGE"], "empty_color": ["STRING", {"default": "0, 0, 0"}], "empty_threshold": ["FLOAT", {"default": 0.01, "min": 0.0, "max": 1.0, "step": 0.01}]}, "optional": {"replacement_image": ["IMAGE"]}}, "input_order": {"required": ["images", "empty_color", "empty_threshold"], "optional": ["replacement_image"]}, "is_input_list": false, "output": ["IMAGE", "STRING"], "output_is_list": [false, false], "output_name": ["images", "removed_indices"], "name": "ImageBatchFilter", "display_name": "Image Batch Filter", "description": "Removes empty images from a batch", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageAndMaskPreview": {"input": {"required": {"mask_opacity": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 1.0, "step": 0.01}], "mask_color": ["STRING", {"default": "255, 255, 255"}], "pass_through": ["BOOLEAN", {"default": false}]}, "optional": {"image": ["IMAGE"], "mask": ["MASK"]}, "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}}, "input_order": {"required": ["mask_opacity", "mask_color", "pass_through"], "optional": ["image", "mask"], "hidden": ["prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["composite"], "name": "ImageAndMaskPreview", "display_name": "ImageAndMaskPreview", "description": "\nPreview an image or a mask, when both inputs are used  \ncomposites the mask on top of the image.\nwith pass_through on the preview is disabled and the  \ncomposite is returned from the composite slot instead,  \nthis allows for the preview to be passed for video combine  \nnodes for example.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": true, "has_intermediate_output": false, "search_aliases": ["save", "save image", "export image", "output image", "write image", "download"], "essentials_category": "Basics"}, "ImageAddMulti": {"input": {"required": {"inputcount": ["INT", {"default": 2, "min": 2, "max": 1000, "step": 1}], "image_1": ["IMAGE"], "image_2": ["IMAGE"], "blending": [["add", "subtract", "multiply", "difference"], {"default": "add"}], "blend_amount": ["FLOAT", {"default": 0.5, "min": 0, "max": 1, "step": 0.01}]}}, "input_order": {"required": ["inputcount", "image_1", "image_2", "blending", "blend_amount"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["images"], "name": "ImageAddMulti", "display_name": "Image Add Multi", "description": "\nAdd blends multiple images together.    \nYou can set how many inputs the node has,  \nwith the **inputcount** and clicking update.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageBatchMulti": {"input": {"required": {"inputcount": ["INT", {"default": 2, "min": 2, "max": 1000, "step": 1}], "image_1": ["IMAGE"], "image_2": ["IMAGE"]}}, "input_order": {"required": ["inputcount", "image_1", "image_2"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["images"], "name": "ImageBatchMulti", "display_name": "Image Batch Multi", "description": "\nCreates an image batch from multiple images.  \nYou can set how many inputs the node has,  \nwith the **inputcount** and clicking update.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageBatchRepeatInterleaving": {"input": {"required": {"images": ["IMAGE"], "repeats": ["INT", {"default": 1, "min": 1, "max": 4096}]}, "optional": {"mask": ["MASK"]}}, "input_order": {"required": ["images", "repeats"], "optional": ["mask"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "ImageBatchRepeatInterleaving", "display_name": "ImageBatchRepeatInterleaving", "description": "\nRepeats each image in a batch by the specified number of times.  \nExample batch of 5 images: 0, 1 ,2, 3, 4  \nwith repeats 2 becomes batch of 10 images: 0, 0, 1, 1, 2, 2, 3, 3, 4, 4  \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageBatchTestPattern": {"input": {"required": {"batch_size": ["INT", {"default": 1, "min": 1, "max": 255, "step": 1}], "start_from": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "text_x": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "text_y": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "font": [["FreeMono.ttf", "FreeMonoBoldOblique.otf", "TTNorms-Black.otf"]], "font_size": ["INT", {"default": 255, "min": 8, "max": 4096, "step": 1}]}}, "input_order": {"required": ["batch_size", "start_from", "text_x", "text_y", "width", "height", "font", "font_size"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageBatchTestPattern", "display_name": "Image Batch Test Pattern", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/text", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageConcanate": {"input": {"required": {"image1": ["IMAGE"], "image2": ["IMAGE"], "direction": [["right", "down", "left", "up"], {"default": "right"}], "match_image_size": ["BOOLEAN", {"default": true}]}}, "input_order": {"required": ["image1", "image2", "direction", "match_image_size"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageConcanate", "display_name": "Image Concatenate", "description": "\nConcatenates the image2 to image1 in the specified direction.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageConcatFromBatch": {"input": {"required": {"images": ["IMAGE"], "num_columns": ["INT", {"default": 3, "min": 1, "max": 255, "step": 1}], "match_image_size": ["BOOLEAN", {"default": false}], "max_resolution": ["INT", {"default": 4096}]}}, "input_order": {"required": ["images", "num_columns", "match_image_size", "max_resolution"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageConcatFromBatch", "display_name": "Image Concatenate From Batch", "description": "\n    Concatenates images from a batch into a grid with a specified number of columns.\n    ", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageConcatMulti": {"input": {"required": {"inputcount": ["INT", {"default": 2, "min": 2, "max": 1000, "step": 1}], "image_1": ["IMAGE"], "image_2": ["IMAGE"], "direction": [["right", "down", "left", "up"], {"default": "right"}], "match_image_size": ["BOOLEAN", {"default": false}]}}, "input_order": {"required": ["inputcount", "image_1", "image_2", "direction", "match_image_size"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["images"], "name": "ImageConcatMulti", "display_name": "Image Concatenate Multi", "description": "\nCreates an image from multiple images.  \nYou can set how many inputs the node has,  \nwith the **inputcount** and clicking update.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageCropByMask": {"input": {"required": {"image": ["IMAGE"], "mask": ["MASK"]}}, "input_order": {"required": ["image", "mask"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "ImageCropByMask", "display_name": "Image Crop By Mask", "description": "Crops the input images based on the provided mask.", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageCropByMaskAndResize": {"input": {"required": {"image": ["IMAGE"], "mask": ["MASK"], "base_resolution": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8}], "padding": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 1}], "min_crop_resolution": ["INT", {"default": 128, "min": 0, "max": 16384, "step": 8}], "max_crop_resolution": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8}]}}, "input_order": {"required": ["image", "mask", "base_resolution", "padding", "min_crop_resolution", "max_crop_resolution"]}, "is_input_list": false, "output": ["IMAGE", "MASK", "BBOX"], "output_is_list": [false, false, false], "output_name": ["images", "masks", "bbox"], "name": "ImageCropByMaskAndResize", "display_name": "Image Crop By Mask And Resize", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageCropByMaskBatch": {"input": {"required": {"image": ["IMAGE"], "masks": ["MASK"], "width": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8}], "height": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8}], "padding": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}], "preserve_size": ["BOOLEAN", {"default": false}], "bg_color": ["STRING", {"default": "0, 0, 0", "tooltip": "Color as RGB values in range 0-255, separated by commas."}]}}, "input_order": {"required": ["image", "masks", "width", "height", "padding", "preserve_size", "bg_color"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["images", "masks"], "name": "ImageCropByMaskBatch", "display_name": "Image Crop By Mask Batch", "description": "Crops the input images based on the provided masks.", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageUncropByMask": {"input": {"required": {"destination": ["IMAGE"], "source": ["IMAGE"], "mask": ["MASK"], "bbox": ["BBOX"]}}, "input_order": {"required": ["destination", "source", "mask", "bbox"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "ImageUncropByMask", "display_name": "Image Uncrop By Mask", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageGrabPIL": {"input": {"required": {"x": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}], "y": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}], "width": ["INT", {"default": 512, "min": 0, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 0, "max": 4096, "step": 1}], "num_frames": ["INT", {"default": 1, "min": 1, "max": 255, "step": 1}], "delay": ["FLOAT", {"default": 0.1, "min": 0.0, "max": 10.0, "step": 0.01}]}}, "input_order": {"required": ["x", "y", "width", "height", "num_frames", "delay"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "ImageGrabPIL", "display_name": "Image Grab PIL", "description": "\nCaptures an area specified by screen coordinates.  \nCan be used for realtime diffusion with autoqueue.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageGridComposite2x2": {"input": {"required": {"image1": ["IMAGE"], "image2": ["IMAGE"], "image3": ["IMAGE"], "image4": ["IMAGE"]}}, "input_order": {"required": ["image1", "image2", "image3", "image4"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageGridComposite2x2", "display_name": "Image Grid Composite 2x2", "description": "\nConcatenates the 4 input images into a 2x2 grid. \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageGridComposite3x3": {"input": {"required": {"image1": ["IMAGE"], "image2": ["IMAGE"], "image3": ["IMAGE"], "image4": ["IMAGE"], "image5": ["IMAGE"], "image6": ["IMAGE"], "image7": ["IMAGE"], "image8": ["IMAGE"], "image9": ["IMAGE"]}}, "input_order": {"required": ["image1", "image2", "image3", "image4", "image5", "image6", "image7", "image8", "image9"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageGridComposite3x3", "display_name": "Image Grid Composite 3x3", "description": "\nConcatenates the 9 input images into a 3x3 grid. \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageGridtoBatch": {"input": {"required": {"image": ["IMAGE"], "columns": ["INT", {"default": 3, "min": 1, "max": 8, "tooltip": "The number of columns in the grid."}], "rows": ["INT", {"default": 0, "min": 1, "max": 8, "tooltip": "The number of rows in the grid. Set to 0 for automatic calculation."}]}}, "input_order": {"required": ["image", "columns", "rows"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageGridtoBatch", "display_name": "Image Grid To Batch", "description": "Converts a grid of images to a batch of images.", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageNoiseAugmentation": {"input": {"required": {"image": ["IMAGE"], "noise_aug_strength": ["FLOAT", {"default": null, "min": 0.0, "max": 100.0, "step": 0.001}], "seed": ["INT", {"default": 123, "min": 0, "max": 18446744073709551615, "step": 1}]}}, "input_order": {"required": ["image", "noise_aug_strength", "seed"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageNoiseAugmentation", "display_name": "Image Noise Augmentation", "description": "\n    Add noise to an image.  \n    ", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageNormalize_Neg1_To_1": {"input": {"required": {"images": ["IMAGE"]}}, "input_order": {"required": ["images"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageNormalize_Neg1_To_1", "display_name": "Image Normalize -1 to 1", "description": "\nNormalize the images to be in the range [-1, 1]  \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImagePass": {"input": {"required": {}, "optional": {"image": ["IMAGE"]}}, "input_order": {"required": [], "optional": ["image"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImagePass", "display_name": "ImagePass", "description": "\nPasses the image through without modifying it.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImagePadKJ": {"input": {"required": {"image": ["IMAGE"], "left": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 1}], "right": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 1}], "top": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 1}], "bottom": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 1}], "extra_padding": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 1}], "pad_mode": [["edge", "color"]], "color": ["STRING", {"default": "0, 0, 0", "tooltip": "Color as RGB values in range 0-255, separated by commas."}]}, "optional": {"mask": ["MASK"], "target_width": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 1, "forceInput": true}], "target_height": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 1, "forceInput": true}]}}, "input_order": {"required": ["image", "left", "right", "top", "bottom", "extra_padding", "pad_mode", "color"], "optional": ["mask", "target_width", "target_height"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["images", "masks"], "name": "ImagePadKJ", "display_name": "ImagePad KJ", "description": "Pad the input image and optionally mask with the specified padding.", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImagePadForOutpaintMasked": {"input": {"required": {"image": ["IMAGE"], "left": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "top": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "right": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "bottom": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "feathering": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 1}]}, "optional": {"mask": ["MASK"]}}, "input_order": {"required": ["image", "left", "top", "right", "bottom", "feathering"], "optional": ["mask"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "ImagePadForOutpaintMasked", "display_name": "Image Pad For Outpaint Masked", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImagePadForOutpaintTargetSize": {"input": {"required": {"image": ["IMAGE"], "target_width": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "target_height": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 8}], "feathering": ["INT", {"default": 0, "min": 0, "max": 16384, "step": 1}], "upscale_method": [["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]]}, "optional": {"mask": ["MASK"]}}, "input_order": {"required": ["image", "target_width", "target_height", "feathering", "upscale_method"], "optional": ["mask"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "ImagePadForOutpaintTargetSize", "display_name": "Image Pad For Outpaint Target Size", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImagePrepForICLora": {"input": {"required": {"reference_image": ["IMAGE"], "output_width": ["INT", {"default": 1024, "min": 1, "max": 4096, "step": 1}], "output_height": ["INT", {"default": 1024, "min": 1, "max": 4096, "step": 1}], "border_width": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}]}, "optional": {"latent_image": ["IMAGE"], "latent_mask": ["MASK"], "reference_mask": ["MASK"]}}, "input_order": {"required": ["reference_image", "output_width", "output_height", "border_width"], "optional": ["latent_image", "latent_mask", "reference_mask"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "ImagePrepForICLora", "display_name": "Image Prep For ICLora", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageResizeKJ": {"input": {"required": {"image": ["IMAGE"], "width": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 1}], "height": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 1}], "upscale_method": [["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]], "keep_proportion": ["BOOLEAN", {"default": false}], "divisible_by": ["INT", {"default": 2, "min": 0, "max": 512, "step": 1}]}, "optional": {"get_image_size": ["IMAGE"], "crop": [["disabled", "center", 0], {"tooltip": "0 will do the default center crop, this is a workaround for the widget order changing with the new frontend, as in old workflows the value of this widget becomes 0 automatically"}]}}, "input_order": {"required": ["image", "width", "height", "upscale_method", "keep_proportion", "divisible_by"], "optional": ["get_image_size", "crop"]}, "is_input_list": false, "output": ["IMAGE", "INT", "INT"], "output_is_list": [false, false, false], "output_name": ["IMAGE", "width", "height"], "name": "ImageResizeKJ", "display_name": "Resize Image (deprecated)", "description": "\nDEPRECATED!\n\nDue to ComfyUI frontend changes, this node should no longer be used, please check the   \nv2 of the node. This node is only kept to not completely break older workflows.  \n\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "deprecated": true, "search_aliases": []}, "ImageResizeKJv2": {"input": {"required": {"image": ["IMAGE"], "width": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 1}], "height": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 1}], "upscale_method": [["nearest-exact", "bilinear", "area", "bicubic", "lanczos"]], "keep_proportion": [["stretch", "resize", "pad", "pad_edge", "crop"], {"default": false}], "pad_color": ["STRING", {"default": "0, 0, 0", "tooltip": "Color to use for padding."}], "crop_position": [["center", "top", "bottom", "left", "right"], {"default": "center"}], "divisible_by": ["INT", {"default": 2, "min": 0, "max": 512, "step": 1}]}, "optional": {"mask": ["MASK"], "device": [["cpu", "gpu"]]}, "hidden": {"unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["image", "width", "height", "upscale_method", "keep_proportion", "pad_color", "crop_position", "divisible_by"], "optional": ["mask", "device"], "hidden": ["unique_id"]}, "is_input_list": false, "output": ["IMAGE", "INT", "INT", "MASK"], "output_is_list": [false, false, false, false], "output_name": ["IMAGE", "width", "height", "mask"], "name": "ImageResizeKJv2", "display_name": "Resize Image v2", "description": "\nResizes the image to the specified width and height.  \nSize can be retrieved from the input.\n\nKeep proportions keeps the aspect ratio of the image, by  \nhighest dimension.  \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageUpscaleWithModelBatched": {"input": {"required": {"upscale_model": ["UPSCALE_MODEL"], "images": ["IMAGE"], "per_batch": ["INT", {"default": 16, "min": 1, "max": 4096, "step": 1}]}}, "input_order": {"required": ["upscale_model", "images", "per_batch"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageUpscaleWithModelBatched", "display_name": "Image Upscale With Model Batched", "description": "\nSame as ComfyUI native model upscaling node,  \nbut allows setting sub-batches for reduced VRAM usage.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "InsertImagesToBatchIndexed": {"input": {"required": {"original_images": ["IMAGE"], "images_to_insert": ["IMAGE"], "indexes": ["STRING", {"default": "0, 1, 2", "multiline": true}]}, "optional": {"mode": [["replace", "insert"]]}}, "input_order": {"required": ["original_images", "images_to_insert", "indexes"], "optional": ["mode"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "InsertImagesToBatchIndexed", "display_name": "Insert Images To Batch Indexed", "description": "\nInserts images at the specified indices into the original image batch.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "InsertLatentToIndexed": {"input": {"required": {"source": ["LATENT"], "destination": ["LATENT"], "index": ["INT", {"default": 0, "min": -1, "max": 4096, "step": 1}]}}, "input_order": {"required": ["source", "destination", "index"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "InsertLatentToIndexed", "display_name": "Insert Latent To Index", "description": "\nInserts a latent at the specified index into the original latent batch.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/latents", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "LoadAndResizeImage": {"input": {"required": {"image": [["2.png", "RunComFy_examples_1384_1.png", "RunComfy_examples_1384_1.png", "RunComfy_examples_1386_1.jpg", "RunComfy_examples_1386_2.jpg", "RunComfy_examples_1386_3.jpg", "RunComfy_examples_1386_4.jpg", "RunComfy_examples_1386_5.jpg", "Runcomfy_example_1277.png", "example.png", "ref.jpg"], {"image_upload": true}], "resize": ["BOOLEAN", {"default": false}], "width": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8}], "height": ["INT", {"default": 512, "min": 0, "max": 16384, "step": 8}], "repeat": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}], "keep_proportion": ["BOOLEAN", {"default": false}], "divisible_by": ["INT", {"default": 2, "min": 0, "max": 512, "step": 1}], "mask_channel": [["alpha", "red", "green", "blue"], {"tooltip": "Channel to use for the mask output"}], "background_color": ["STRING", {"default": "", "tooltip": "Fills the alpha channel with the specified color."}]}}, "input_order": {"required": ["image", "resize", "width", "height", "repeat", "keep_proportion", "divisible_by", "mask_channel", "background_color"]}, "is_input_list": false, "output": ["IMAGE", "MASK", "INT", "INT", "STRING"], "output_is_list": [false, false, false, false, false], "output_name": ["image", "mask", "width", "height", "image_path"], "name": "LoadAndResizeImage", "display_name": "Load & Resize Image", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "LoadImagesFromFolderKJ": {"input": {"required": {"folder": ["STRING", {"default": ""}], "width": ["INT", {"default": 1024, "min": -1, "step": 1}], "height": ["INT", {"default": 1024, "min": -1, "step": 1}], "keep_aspect_ratio": [["crop", "pad", "stretch"]]}, "optional": {"image_load_cap": ["INT", {"default": 0, "min": 0, "step": 1}], "start_index": ["INT", {"default": 0, "min": 0, "step": 1}], "include_subfolders": ["BOOLEAN", {"default": false}]}}, "input_order": {"required": ["folder", "width", "height", "keep_aspect_ratio"], "optional": ["image_load_cap", "start_index", "include_subfolders"]}, "is_input_list": false, "output": ["IMAGE", "MASK", "INT", "STRING"], "output_is_list": [false, false, false, false], "output_name": ["image", "mask", "count", "image_path"], "name": "LoadImagesFromFolderKJ", "display_name": "Load Images From Folder (KJ)", "description": "Loads images from a folder into a batch, images are resized and loaded into a batch.", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "MergeImageChannels": {"input": {"required": {"red": ["IMAGE"], "green": ["IMAGE"], "blue": ["IMAGE"]}, "optional": {"alpha": ["MASK", {"default": null}]}}, "input_order": {"required": ["red", "green", "blue"], "optional": ["alpha"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "MergeImageChannels", "display_name": "Merge Image Channels", "description": "\nMerges channel data into an image.  \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "PadImageBatchInterleaved": {"input": {"required": {"images": ["IMAGE"], "empty_frames_per_image": ["INT", {"default": 1, "min": 0, "max": 4096, "step": 1}], "pad_frame_value": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 1.0, "step": 0.01}], "add_after_last": ["BOOLEAN", {"default": false}]}}, "input_order": {"required": ["images", "empty_frames_per_image", "pad_frame_value", "add_after_last"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["images", "masks"], "name": "PadImageBatchInterleaved", "display_name": "Pad Image Batch Interleaved", "description": "\nInserts empty frames between the images in a batch.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "PreviewAnimation": {"input": {"required": {"fps": ["FLOAT", {"default": 8.0, "min": 0.01, "max": 1000.0, "step": 0.01}]}, "optional": {"images": ["IMAGE"], "masks": ["MASK"]}}, "input_order": {"required": ["fps"], "optional": ["images", "masks"]}, "is_input_list": false, "output": [], "output_is_list": [], "output_name": [], "name": "PreviewAnimation", "display_name": "Preview Animation", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "RemapImageRange": {"input": {"required": {"image": ["IMAGE"], "min": ["FLOAT", {"default": 0.0, "min": -10.0, "max": 1.0, "step": 0.01}], "max": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "clamp": ["BOOLEAN", {"default": true}]}}, "input_order": {"required": ["image", "min", "max", "clamp"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "RemapImageRange", "display_name": "Remap Image Range", "description": "\nRemaps the image values to the specified range. \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ReverseImageBatch": {"input": {"required": {"images": ["IMAGE"]}}, "input_order": {"required": ["images"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ReverseImageBatch", "display_name": "Reverse Image Batch", "description": "\nReverses the order of the images in a batch.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ReplaceImagesInBatch": {"input": {"required": {"start_index": ["INT", {"default": 1, "min": 0, "max": 4096, "step": 1}]}, "optional": {"original_images": ["IMAGE"], "replacement_images": ["IMAGE"], "original_masks": ["MASK"], "replacement_masks": ["MASK"]}}, "input_order": {"required": ["start_index"], "optional": ["original_images", "replacement_images", "original_masks", "replacement_masks"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["IMAGE", "MASK"], "name": "ReplaceImagesInBatch", "display_name": "Replace Images In Batch", "description": "\nReplaces the images in a batch, starting from the specified start index,  \nwith the replacement images.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SaveImageWithAlpha": {"input": {"required": {"images": ["IMAGE"], "mask": ["MASK"], "filename_prefix": ["STRING", {"default": "ComfyUI"}]}, "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}}, "input_order": {"required": ["images", "mask", "filename_prefix"], "hidden": ["prompt", "extra_pnginfo"]}, "is_input_list": false, "output": [], "output_is_list": [], "output_name": [], "name": "SaveImageWithAlpha", "display_name": "Save Image With Alpha", "description": "\nSaves an image and mask as .PNG with the mask as the alpha channel. \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "SaveImageKJ": {"input": {"required": {"images": ["IMAGE", {"tooltip": "The images to save."}], "filename_prefix": ["STRING", {"default": "ComfyUI", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."}], "output_folder": ["STRING", {"default": "output", "tooltip": "The folder to save the images to."}]}, "optional": {"caption_file_extension": ["STRING", {"default": ".txt", "tooltip": "The extension for the caption file."}], "caption": ["STRING", {"forceInput": true, "tooltip": "string to save as .txt file"}]}, "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}}, "input_order": {"required": ["images", "filename_prefix", "output_folder"], "optional": ["caption_file_extension", "caption"], "hidden": ["prompt", "extra_pnginfo"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["filename"], "name": "SaveImageKJ", "display_name": "Save Image KJ", "description": "Saves the input images to your ComfyUI output directory.", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "ShuffleImageBatch": {"input": {"required": {"images": ["IMAGE"], "seed": ["INT", {"default": 123, "min": 0, "max": 18446744073709551615, "step": 1}]}}, "input_order": {"required": ["images", "seed"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ShuffleImageBatch", "display_name": "Shuffle Image Batch", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SplitImageChannels": {"input": {"required": {"image": ["IMAGE"]}}, "input_order": {"required": ["image"]}, "is_input_list": false, "output": ["IMAGE", "IMAGE", "IMAGE", "MASK"], "output_is_list": [false, false, false, false], "output_name": ["red", "green", "blue", "mask"], "name": "SplitImageChannels", "display_name": "Split Image Channels", "description": "\nSplits image channels into images where the selected channel  \nis repeated for all channels, and the alpha as a mask. \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "TransitionImagesMulti": {"input": {"required": {"inputcount": ["INT", {"default": 2, "min": 2, "max": 1000, "step": 1}], "image_1": ["IMAGE"], "image_2": ["IMAGE"], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out", "bounce", "elastic", "glitchy", "exponential_ease_out"]], "transition_type": [["horizontal slide", "vertical slide", "box", "circle", "horizontal door", "vertical door", "fade"]], "transitioning_frames": ["INT", {"default": 1, "min": 0, "max": 4096, "step": 1}], "blur_radius": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step": 0.1}], "reverse": ["BOOLEAN", {"default": false}], "device": [["CPU", "GPU"], {"default": "CPU"}]}}, "input_order": {"required": ["inputcount", "image_1", "image_2", "interpolation", "transition_type", "transitioning_frames", "blur_radius", "reverse", "device"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "TransitionImagesMulti", "display_name": "Transition Images Multi", "description": "\nCreates transitions between images.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "TransitionImagesInBatch": {"input": {"required": {"images": ["IMAGE"], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out", "bounce", "elastic", "glitchy", "exponential_ease_out"]], "transition_type": [["horizontal slide", "vertical slide", "box", "circle", "horizontal door", "vertical door", "fade"]], "transitioning_frames": ["INT", {"default": 1, "min": 0, "max": 4096, "step": 1}], "blur_radius": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 100.0, "step": 0.1}], "reverse": ["BOOLEAN", {"default": false}], "device": [["CPU", "GPU"], {"default": "CPU"}]}}, "input_order": {"required": ["images", "interpolation", "transition_type", "transitioning_frames", "blur_radius", "reverse", "device"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "TransitionImagesInBatch", "display_name": "Transition Images In Batch", "description": "\nCreates transitions between images in a batch.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "BatchCropFromMask": {"input": {"required": {"original_images": ["IMAGE"], "masks": ["MASK"], "crop_size_mult": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.001}], "bbox_smooth_alpha": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}]}}, "input_order": {"required": ["original_images", "masks", "crop_size_mult", "bbox_smooth_alpha"]}, "is_input_list": false, "output": ["IMAGE", "IMAGE", "BBOX", "INT", "INT"], "output_is_list": [false, false, false, false, false], "output_name": ["original_images", "cropped_images", "bboxes", "width", "height"], "name": "BatchCropFromMask", "display_name": "Batch Crop From Mask", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "BatchCropFromMaskAdvanced": {"input": {"required": {"original_images": ["IMAGE"], "masks": ["MASK"], "crop_size_mult": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "bbox_smooth_alpha": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}]}}, "input_order": {"required": ["original_images", "masks", "crop_size_mult", "bbox_smooth_alpha"]}, "is_input_list": false, "output": ["IMAGE", "IMAGE", "MASK", "IMAGE", "MASK", "BBOX", "BBOX", "INT", "INT"], "output_is_list": [false, false, false, false, false, false, false, false, false], "output_name": ["original_images", "cropped_images", "cropped_masks", "combined_crop_image", "combined_crop_masks", "bboxes", "combined_bounding_box", "bbox_width", "bbox_height"], "name": "BatchCropFromMaskAdvanced", "display_name": "Batch Crop From Mask Advanced", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "FilterZeroMasksAndCorrespondingImages": {"input": {"required": {"masks": ["MASK"]}, "optional": {"original_images": ["IMAGE"]}}, "input_order": {"required": ["masks"], "optional": ["original_images"]}, "is_input_list": false, "output": ["MASK", "IMAGE", "IMAGE", "INDEXES"], "output_is_list": [false, false, false, false], "output_name": ["non_zero_masks_out", "non_zero_mask_images_out", "zero_mask_images_out", "zero_mask_images_out_indexes"], "name": "FilterZeroMasksAndCorrespondingImages", "display_name": "FilterZeroMasksAndCorrespondingImages", "description": "\nFilter out all the empty (i.e. all zero) mask in masks  \nAlso filter out all the corresponding images in original_images by indexes if provide  \n  \noriginal_images (optional): If provided, need have same length as masks.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "InsertImageBatchByIndexes": {"input": {"required": {"images": ["IMAGE"], "images_to_insert": ["IMAGE"], "insert_indexes": ["INDEXES"]}}, "input_order": {"required": ["images", "images_to_insert", "insert_indexes"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["images_after_insert"], "name": "InsertImageBatchByIndexes", "display_name": "Insert Image Batch By Indexes", "description": "\nThis node is designed to be use with node FilterZeroMasksAndCorrespondingImages\nIt inserts the images_to_insert into images according to insert_indexes\n\nReturns:\n    images_after_insert: updated original images with origonal sequence order\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "BatchUncrop": {"input": {"required": {"original_images": ["IMAGE"], "cropped_images": ["IMAGE"], "bboxes": ["BBOX"], "border_blending": ["FLOAT", {"default": 0.25, "min": 0.0, "max": 1.0, "step": 0.01}], "crop_rescale": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "border_top": ["BOOLEAN", {"default": true}], "border_bottom": ["BOOLEAN", {"default": true}], "border_left": ["BOOLEAN", {"default": true}], "border_right": ["BOOLEAN", {"default": true}]}}, "input_order": {"required": ["original_images", "cropped_images", "bboxes", "border_blending", "crop_rescale", "border_top", "border_bottom", "border_left", "border_right"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "BatchUncrop", "display_name": "Batch Uncrop", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "BatchUncropAdvanced": {"input": {"required": {"original_images": ["IMAGE"], "cropped_images": ["IMAGE"], "cropped_masks": ["MASK"], "combined_crop_mask": ["MASK"], "bboxes": ["BBOX"], "border_blending": ["FLOAT", {"default": 0.25, "min": 0.0, "max": 1.0, "step": 0.01}], "crop_rescale": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "use_combined_mask": ["BOOLEAN", {"default": false}], "use_square_mask": ["BOOLEAN", {"default": true}]}, "optional": {"combined_bounding_box": ["BBOX", {"default": null}]}}, "input_order": {"required": ["original_images", "cropped_images", "cropped_masks", "combined_crop_mask", "bboxes", "border_blending", "crop_rescale", "use_combined_mask", "use_square_mask"], "optional": ["combined_bounding_box"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "BatchUncropAdvanced", "display_name": "Batch Uncrop Advanced", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SplitBboxes": {"input": {"required": {"bboxes": ["BBOX"], "index": ["INT", {"default": 0, "min": 0, "max": 99999999, "step": 1}]}}, "input_order": {"required": ["bboxes", "index"]}, "is_input_list": false, "output": ["BBOX", "BBOX"], "output_is_list": [false, false], "output_name": ["bboxes_a", "bboxes_b"], "name": "SplitBboxes", "display_name": "Split Bboxes", "description": "\nSplits the specified bbox list at the given index into two lists.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "BboxToInt": {"input": {"required": {"bboxes": ["BBOX"], "index": ["INT", {"default": 0, "min": 0, "max": 99999999, "step": 1}]}}, "input_order": {"required": ["bboxes", "index"]}, "is_input_list": false, "output": ["INT", "INT", "INT", "INT", "INT", "INT"], "output_is_list": [false, false, false, false, false, false], "output_name": ["x_min", "y_min", "width", "height", "center_x", "center_y"], "name": "BboxToInt", "display_name": "Bbox To Int", "description": "\nReturns selected index from bounding box list as integers.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "BboxVisualize": {"input": {"required": {"images": ["IMAGE"], "bboxes": ["BBOX"], "line_width": ["INT", {"default": 1, "min": 1, "max": 10, "step": 1}]}}, "input_order": {"required": ["images", "bboxes", "line_width"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["images"], "name": "BboxVisualize", "display_name": "Bbox Visualize", "description": "\nVisualizes the specified bbox on the image.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "GenerateNoise": {"input": {"required": {"width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "batch_size": ["INT", {"default": 1, "min": 1, "max": 4096}], "seed": ["INT", {"default": 123, "min": 0, "max": 18446744073709551615, "step": 1}], "multiplier": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 4096, "step": 0.01}], "constant_batch_noise": ["BOOLEAN", {"default": false}], "normalize": ["BOOLEAN", {"default": false}]}, "optional": {"model": ["MODEL"], "sigmas": ["SIGMAS"], "latent_channels": [["4", "16"]], "shape": [["BCHW", "BCTHW", "BTCHW"]]}}, "input_order": {"required": ["width", "height", "batch_size", "seed", "multiplier", "constant_batch_noise", "normalize"], "optional": ["model", "sigmas", "latent_channels", "shape"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "GenerateNoise", "display_name": "Generate Noise", "description": "\nGenerates noise for injection or to be used as empty latents on samplers with add_noise off.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/noise", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "FlipSigmasAdjusted": {"input": {"required": {"sigmas": ["SIGMAS"], "divide_by_last_sigma": ["BOOLEAN", {"default": false}], "divide_by": ["FLOAT", {"default": 1, "min": 1, "max": 255, "step": 0.01}], "offset_by": ["INT", {"default": 1, "min": -100, "max": 100, "step": 1}]}}, "input_order": {"required": ["sigmas", "divide_by_last_sigma", "divide_by", "offset_by"]}, "is_input_list": false, "output": ["SIGMAS", "STRING"], "output_is_list": [false, false], "output_name": ["SIGMAS", "sigmas_string"], "name": "FlipSigmasAdjusted", "display_name": "Flip Sigmas Adjusted", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/noise", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "InjectNoiseToLatent": {"input": {"required": {"latents": ["LATENT"], "strength": ["FLOAT", {"default": 0.1, "min": 0.0, "max": 200.0, "step": 0.0001}], "noise": ["LATENT"], "normalize": ["BOOLEAN", {"default": false}], "average": ["BOOLEAN", {"default": false}]}, "optional": {"mask": ["MASK"], "mix_randn_amount": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 1000.0, "step": 0.001}], "seed": ["INT", {"default": 123, "min": 0, "max": 18446744073709551615, "step": 1}]}}, "input_order": {"required": ["latents", "strength", "noise", "normalize", "average"], "optional": ["mask", "mix_randn_amount", "seed"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "InjectNoiseToLatent", "display_name": "Inject Noise To Latent", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/noise", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CustomSigmas": {"input": {"required": {"sigmas_string": ["STRING", {"default": "14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029", "multiline": true}], "interpolate_to_steps": ["INT", {"default": 10, "min": 0, "max": 255, "step": 1}]}}, "input_order": {"required": ["sigmas_string", "interpolate_to_steps"]}, "is_input_list": false, "output": ["SIGMAS"], "output_is_list": [false], "output_name": ["SIGMAS"], "name": "CustomSigmas", "display_name": "Custom Sigmas", "description": "\nCreates a sigmas tensor from a string of comma separated values.  \nExamples: \n   \nNvidia's optimized AYS 10 step schedule for SD 1.5:  \n14.615, 6.475, 3.861, 2.697, 1.886, 1.396, 0.963, 0.652, 0.399, 0.152, 0.029  \nSDXL:   \n14.615, 6.315, 3.771, 2.181, 1.342, 0.862, 0.555, 0.380, 0.234, 0.113, 0.029  \nSVD:  \n700.00, 54.5, 15.886, 7.977, 4.248, 1.789, 0.981, 0.403, 0.173, 0.034, 0.002  \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/noise", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "StringToFloatList": {"input": {"required": {"string": ["STRING", {"default": "1, 2, 3", "multiline": true}]}}, "input_order": {"required": ["string"]}, "is_input_list": false, "output": ["FLOAT"], "output_is_list": [false], "output_name": ["FLOAT"], "name": "StringToFloatList", "display_name": "String to Float List", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/misc", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "WidgetToString": {"input": {"required": {"id": ["INT", {"default": 0, "min": 0, "max": 100000, "step": 1}], "widget_name": ["STRING", {"multiline": false}], "return_all": ["BOOLEAN", {"default": false}]}, "optional": {"any_input": ["*"], "node_title": ["STRING", {"multiline": false}], "allowed_float_decimals": ["INT", {"default": 2, "min": 0, "max": 10, "tooltip": "Number of decimal places to display for float values"}]}, "hidden": {"extra_pnginfo": "EXTRA_PNGINFO", "prompt": "PROMPT", "unique_id": "UNIQUE_ID"}}, "input_order": {"required": ["id", "widget_name", "return_all"], "optional": ["any_input", "node_title", "allowed_float_decimals"], "hidden": ["extra_pnginfo", "prompt", "unique_id"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "name": "WidgetToString", "display_name": "Widget To String", "description": "\nSelects a node and it's specified widget and outputs the value as a string.  \nIf no node id or title is provided it will use the 'any_input' link and use that node.  \nTo see node id's, enable node id display from Manager badge menu.  \nAlternatively you can search with the node title. Node titles ONLY exist if they  \nare manually edited!  \nThe 'any_input' is required for making sure the node you want the value from exists in the workflow.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/text", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SaveStringKJ": {"input": {"required": {"string": ["STRING", {"forceInput": true, "tooltip": "string to save as .txt file"}], "filename_prefix": ["STRING", {"default": "text", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."}], "output_folder": ["STRING", {"default": "output", "tooltip": "The folder to save the images to."}]}, "optional": {"file_extension": ["STRING", {"default": ".txt", "tooltip": "The extension for the caption file."}]}}, "input_order": {"required": ["string", "filename_prefix", "output_folder"], "optional": ["file_extension"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["filename"], "name": "SaveStringKJ", "display_name": "Save String KJ", "description": "Saves the input string to your ComfyUI output directory.", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/misc", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "DummyOut": {"input": {"required": {"any_input": ["*"]}}, "input_order": {"required": ["any_input"]}, "is_input_list": false, "output": ["*"], "output_is_list": [false], "output_name": ["*"], "name": "DummyOut", "display_name": "Dummy Out", "description": "\nDoes nothing, used to trigger generic workflow output.    \nA way to get previews in the UI without saving anything to disk.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/misc", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "GetLatentsFromBatchIndexed": {"input": {"required": {"latents": ["LATENT"], "indexes": ["STRING", {"default": "0, 1, 2", "multiline": true}], "latent_format": [["BCHW", "BTCHW", "BCTHW"], {"default": "BCHW"}]}}, "input_order": {"required": ["latents", "indexes", "latent_format"]}, "is_input_list": false, "output": ["LATENT"], "output_is_list": [false], "output_name": ["LATENT"], "name": "GetLatentsFromBatchIndexed", "display_name": "Get Latents From Batch Indexed", "description": "\nSelects and returns the latents at the specified indices as an latent batch.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/latents", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ScaleBatchPromptSchedule": {"input": {"required": {"input_str": ["STRING", {"forceInput": true, "default": "0:(0.0),\n7:(1.0),\n15:(0.0)\n"}], "old_frame_count": ["INT", {"forceInput": true, "default": 1, "min": 1, "max": 4096, "step": 1}], "new_frame_count": ["INT", {"forceInput": true, "default": 1, "min": 1, "max": 4096, "step": 1}]}}, "input_order": {"required": ["input_str", "old_frame_count", "new_frame_count"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "name": "ScaleBatchPromptSchedule", "display_name": "Scale Batch Prompt Schedule", "description": "\nScales a batch schedule from Fizz' nodes BatchPromptSchedule\nto a different frame count.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/misc", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CameraPoseVisualizer": {"input": {"required": {"pose_file_path": ["STRING", {"default": "", "multiline": false}], "base_xval": ["FLOAT", {"default": 0.2, "min": 0, "max": 100, "step": 0.01}], "zval": ["FLOAT", {"default": 0.3, "min": 0, "max": 100, "step": 0.01}], "scale": ["FLOAT", {"default": 1.0, "min": 0.01, "max": 10.0, "step": 0.01}], "use_exact_fx": ["BOOLEAN", {"default": false}], "relative_c2w": ["BOOLEAN", {"default": true}], "use_viewer": ["BOOLEAN", {"default": false}]}, "optional": {"cameractrl_poses": ["CAMERACTRL_POSES", {"default": null}]}}, "input_order": {"required": ["pose_file_path", "base_xval", "zval", "scale", "use_exact_fx", "relative_c2w", "use_viewer"], "optional": ["cameractrl_poses"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "CameraPoseVisualizer", "display_name": "Camera Pose Visualizer", "description": "\nVisualizes the camera poses, from Animatediff-Evolved CameraCtrl Pose  \nor a .txt file with RealEstate camera intrinsics and coordinates, in a 3D plot. \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/misc", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "AppendStringsToList": {"input": {"required": {"string1": ["STRING", {"default": "", "forceInput": true}], "string2": ["STRING", {"default": "", "forceInput": true}]}}, "input_order": {"required": ["string1", "string2"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "name": "AppendStringsToList", "display_name": "Append Strings To List", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/text", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "JoinStrings": {"input": {"required": {"string1": ["STRING", {"default": "", "forceInput": true}], "string2": ["STRING", {"default": "", "forceInput": true}], "delimiter": ["STRING", {"default": " ", "multiline": false}]}}, "input_order": {"required": ["string1", "string2", "delimiter"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "name": "JoinStrings", "display_name": "Join Strings", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/text", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "JoinStringMulti": {"input": {"required": {"inputcount": ["INT", {"default": 2, "min": 2, "max": 1000, "step": 1}], "string_1": ["STRING", {"default": "", "forceInput": true}], "string_2": ["STRING", {"default": "", "forceInput": true}], "delimiter": ["STRING", {"default": " ", "multiline": false}], "return_list": ["BOOLEAN", {"default": false}]}}, "input_order": {"required": ["inputcount", "string_1", "string_2", "delimiter", "return_list"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["string"], "name": "JoinStringMulti", "display_name": "Join String Multi", "description": "\nCreates single string, or a list of strings, from  \nmultiple input strings.  \nYou can set how many inputs the node has,  \nwith the **inputcount** and clicking update.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/text", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SomethingToString": {"input": {"required": {"input": ["*"]}, "optional": {"prefix": ["STRING", {"default": ""}], "suffix": ["STRING", {"default": ""}]}}, "input_order": {"required": ["input"], "optional": ["prefix", "suffix"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "name": "SomethingToString", "display_name": "Something To String", "description": "\nConverts any type to a string.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/text", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "Sleep": {"input": {"required": {"input": ["*"], "minutes": ["INT", {"default": 0, "min": 0, "max": 1439}], "seconds": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 59.99, "step": 0.01}]}}, "input_order": {"required": ["input", "minutes", "seconds"]}, "is_input_list": false, "output": ["*"], "output_is_list": [false], "output_name": ["*"], "name": "Sleep", "display_name": "Sleep", "description": "\nDelays the execution for the input amount of time.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/misc", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "VRAM_Debug": {"input": {"required": {"empty_cache": ["BOOLEAN", {"default": true}], "gc_collect": ["BOOLEAN", {"default": true}], "unload_all_models": ["BOOLEAN", {"default": false}]}, "optional": {"any_input": ["*"], "image_pass": ["IMAGE"], "model_pass": ["MODEL"]}}, "input_order": {"required": ["empty_cache", "gc_collect", "unload_all_models"], "optional": ["any_input", "image_pass", "model_pass"]}, "is_input_list": false, "output": ["*", "IMAGE", "MODEL", "INT", "INT"], "output_is_list": [false, false, false, false, false], "output_name": ["any_output", "image_pass", "model_pass", "freemem_before", "freemem_after"], "name": "VRAM_Debug", "display_name": "VRAM Debug", "description": "\nReturns the inputs unchanged, they are only used as triggers,  \nand performs comfy model management functions and garbage collection,  \nreports free VRAM before and after the operations.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/misc", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "EmptyLatentImagePresets": {"input": {"required": {"dimensions": [["512 x 512 (1:1)", "768 x 512 (1.5:1)", "960 x 512 (1.875:1)", "1024 x 512 (2:1)", "1024 x 576 (1.778:1)", "1536 x 640 (2.4:1)", "1344 x 768 (1.75:1)", "1216 x 832 (1.46:1)", "1152 x 896 (1.286:1)", "1024 x 1024 (1:1)"], {"default": "512 x 512 (1:1)"}], "invert": ["BOOLEAN", {"default": false}], "batch_size": ["INT", {"default": 1, "min": 1, "max": 4096}]}}, "input_order": {"required": ["dimensions", "invert", "batch_size"]}, "is_input_list": false, "output": ["LATENT", "INT", "INT"], "output_is_list": [false, false, false], "output_name": ["Latent", "Width", "Height"], "name": "EmptyLatentImagePresets", "display_name": "Empty Latent Image Presets", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/latents", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "EmptyLatentImageCustomPresets": {"input": {"required": {"dimensions": [[]], "invert": ["BOOLEAN", {"default": false}], "batch_size": ["INT", {"default": 1, "min": 1, "max": 4096}]}}, "input_order": {"required": ["dimensions", "invert", "batch_size"]}, "is_input_list": false, "output": ["LATENT", "INT", "INT"], "output_is_list": [false, false, false], "output_name": ["Latent", "Width", "Height"], "name": "EmptyLatentImageCustomPresets", "display_name": "Empty Latent Image Custom Presets", "description": "\nGenerates an empty latent image with the specified dimensions.  \nThe choices are loaded from 'custom_dimensions.json' in the nodes folder.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/latents", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ModelPassThrough": {"input": {"required": {}, "optional": {"model": ["MODEL"]}}, "input_order": {"required": [], "optional": ["model"]}, "is_input_list": false, "output": ["MODEL"], "output_is_list": [false], "output_name": ["model"], "name": "ModelPassThrough", "display_name": "ModelPass", "description": "\n    Simply passes through the model,\n    workaround for Set node not allowing bypassed inputs.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/misc", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ModelSaveKJ": {"input": {"required": {"model": ["MODEL"], "filename_prefix": ["STRING", {"default": "diffusion_models/ComfyUI"}], "model_key_prefix": ["STRING", {"default": "model.diffusion_model."}]}, "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}}, "input_order": {"required": ["model", "filename_prefix", "model_key_prefix"], "hidden": ["prompt", "extra_pnginfo"]}, "is_input_list": false, "output": [], "output_is_list": [], "output_name": [], "name": "ModelSaveKJ", "display_name": "Model Save KJ", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "advanced/model_merging", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "SetShakkerLabsUnionControlNetType": {"input": {"required": {"control_net": ["CONTROL_NET"], "type": [["auto", "canny", "tile", "depth", "blur", "pose", "gray", "low quality"]]}}, "input_order": {"required": ["control_net", "type"]}, "is_input_list": false, "output": ["CONTROL_NET"], "output_is_list": [false], "output_name": ["CONTROL_NET"], "name": "SetShakkerLabsUnionControlNetType", "display_name": "Set Shakker Labs Union ControlNet Type", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "conditioning/controlnet", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "StyleModelApplyAdvanced": {"input": {"required": {"conditioning": ["CONDITIONING"], "style_model": ["STYLE_MODEL"], "clip_vision_output": ["CLIP_VISION_OUTPUT"], "strength": ["FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.001}]}}, "input_order": {"required": ["conditioning", "style_model", "clip_vision_output", "strength"]}, "is_input_list": false, "output": ["CONDITIONING"], "output_is_list": [false], "output_name": ["CONDITIONING"], "name": "StyleModelApplyAdvanced", "display_name": "Style Model Apply Advanced", "description": "StyleModelApply but with strength parameter", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "NormalizedAmplitudeToMask": {"input": {"required": {"normalized_amp": ["NORMALIZED_AMPLITUDE"], "width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_offset": ["INT", {"default": 0, "min": -255, "max": 255, "step": 1}], "location_x": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "location_y": ["INT", {"default": 256, "min": 0, "max": 4096, "step": 1}], "size": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}], "shape": [["none", "circle", "square", "triangle"], {"default": "none"}], "color": [["white", "amplitude"], {"default": "amplitude"}]}}, "input_order": {"required": ["normalized_amp", "width", "height", "frame_offset", "location_x", "location_y", "size", "shape", "color"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "NormalizedAmplitudeToMask", "display_name": "NormalizedAmplitudeToMask", "description": "\nWorks as a bridge to the AudioScheduler -nodes:  \nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler  \nCreates masks based on the normalized amplitude.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/audio", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "NormalizedAmplitudeToFloatList": {"input": {"required": {"normalized_amp": ["NORMALIZED_AMPLITUDE"]}}, "input_order": {"required": ["normalized_amp"]}, "is_input_list": false, "output": ["FLOAT"], "output_is_list": [false], "output_name": ["FLOAT"], "name": "NormalizedAmplitudeToFloatList", "display_name": "NormalizedAmplitudeToFloatList", "description": "\nWorks as a bridge to the AudioScheduler -nodes:  \nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler  \nCreates a list of floats from the normalized amplitude.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/audio", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "OffsetMaskByNormalizedAmplitude": {"input": {"required": {"normalized_amp": ["NORMALIZED_AMPLITUDE"], "mask": ["MASK"], "x": ["INT", {"default": 0, "min": -4096, "max": 16384, "step": 1, "display": "number"}], "y": ["INT", {"default": 0, "min": -4096, "max": 16384, "step": 1, "display": "number"}], "rotate": ["BOOLEAN", {"default": false}], "angle_multiplier": ["FLOAT", {"default": 0.0, "min": -1.0, "max": 1.0, "step": 0.001, "display": "number"}]}}, "input_order": {"required": ["normalized_amp", "mask", "x", "y", "rotate", "angle_multiplier"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["mask"], "name": "OffsetMaskByNormalizedAmplitude", "display_name": "OffsetMaskByNormalizedAmplitude", "description": "\nWorks as a bridge to the AudioScheduler -nodes:  \nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler  \nOffsets masks based on the normalized amplitude.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/audio", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "ImageTransformByNormalizedAmplitude": {"input": {"required": {"normalized_amp": ["NORMALIZED_AMPLITUDE"], "zoom_scale": ["FLOAT", {"default": 0.0, "min": -1.0, "max": 1.0, "step": 0.001, "display": "number"}], "x_offset": ["INT", {"default": 0, "min": -16383, "max": 16384, "step": 1, "display": "number"}], "y_offset": ["INT", {"default": 0, "min": -16383, "max": 16384, "step": 1, "display": "number"}], "cumulative": ["BOOLEAN", {"default": false}], "image": ["IMAGE"]}}, "input_order": {"required": ["normalized_amp", "zoom_scale", "x_offset", "y_offset", "cumulative", "image"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["IMAGE"], "name": "ImageTransformByNormalizedAmplitude", "display_name": "ImageTransformByNormalizedAmplitude", "description": "\nWorks as a bridge to the AudioScheduler -nodes:  \nhttps://github.com/a1lazydog/ComfyUI-AudioScheduler  \nTransforms image based on the normalized amplitude.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/audio", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "AudioConcatenate": {"input": {"required": {"audio1": ["AUDIO"], "audio2": ["AUDIO"], "direction": [["right", "left"], {"default": "right"}]}}, "input_order": {"required": ["audio1", "audio2", "direction"]}, "is_input_list": false, "output": ["AUDIO"], "output_is_list": [false], "output_name": ["AUDIO"], "name": "AudioConcatenate", "display_name": "AudioConcatenate", "description": "\nConcatenates the audio1 to audio2 in the specified direction.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/audio", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SplineEditor": {"input": {"required": {"points_store": ["STRING", {"multiline": false}], "coordinates": ["STRING", {"multiline": false}], "mask_width": ["INT", {"default": 512, "min": 8, "max": 4096, "step": 8}], "mask_height": ["INT", {"default": 512, "min": 8, "max": 4096, "step": 8}], "points_to_sample": ["INT", {"default": 16, "min": 2, "max": 1000, "step": 1}], "sampling_method": [["path", "time", "controlpoints", "speed"], {"default": "time"}], "interpolation": [["cardinal", "monotone", "basis", "linear", "step-before", "step-after", "polar", "polar-reverse"], {"default": "cardinal"}], "tension": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "repeat_output": ["INT", {"default": 1, "min": 1, "max": 4096, "step": 1}], "float_output_type": [["list", "pandas series", "tensor"], {"default": "list"}]}, "optional": {"min_value": ["FLOAT", {"default": 0.0, "min": -10000.0, "max": 10000.0, "step": 0.01}], "max_value": ["FLOAT", {"default": 1.0, "min": -10000.0, "max": 10000.0, "step": 0.01}], "bg_image": ["IMAGE"]}}, "input_order": {"required": ["points_store", "coordinates", "mask_width", "mask_height", "points_to_sample", "sampling_method", "interpolation", "tension", "repeat_output", "float_output_type"], "optional": ["min_value", "max_value", "bg_image"]}, "is_input_list": false, "output": ["MASK", "STRING", "FLOAT", "INT", "STRING"], "output_is_list": [false, false, false, false, false], "output_name": ["mask", "coord_str", "float", "count", "normalized_str"], "name": "SplineEditor", "display_name": "Spline Editor", "description": "\n# WORK IN PROGRESS  \nDo not count on this as part of your workflow yet,  \nprobably contains lots of bugs and stability is not  \nguaranteed!!  \n  \n## Graphical editor to create values for various   \n## schedules and/or mask batches.  \n\n**Shift + click** to add control point at end.\n**Ctrl + click** to add control point (subdivide) between two points.  \n**Right click on a point** to delete it.    \nNote that you can't delete from start/end.  \n  \nRight click on canvas for context menu:  \nNEW!:\n- Add new spline\n    - Creates a new spline on same canvas, currently these paths are only outputed  \n      as coordinates.\n- Add single point\n    - Creates a single point that only returns it's current position coords  \n- Delete spline\n    - Deletes the currently selected spline, you can select a spline by clicking on   \n    it's path, or cycle through them with the 'Next spline' -option.  \n\nThese are purely visual options, doesn't affect the output:  \n - Toggle handles visibility\n - Display sample points: display the points to be returned.  \n\n**points_to_sample** value sets the number of samples  \nreturned from the **drawn spline itself**, this is independent from the  \nactual control points, so the interpolation type matters.  \nsampling_method: \n - time: samples along the time axis, used for schedules  \n - path: samples along the path itself, useful for coordinates  \n - controlpoints: samples only the control points themselves  \n\noutput types:\n - mask batch  \n        example compatible nodes: anything that takes masks  \n - list of floats\n        example compatible nodes: IPAdapter weights  \n - pandas series\n        example compatible nodes: anything that takes Fizz'  \n        nodes Batch Value Schedule  \n - torch tensor  \n        example compatible nodes: unknown\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/weights", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateShapeImageOnPath": {"input": {"required": {"shape": [["circle", "square", "triangle"], {"default": "circle"}], "coordinates": ["STRING", {"forceInput": true}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "shape_width": ["INT", {"default": 128, "min": 2, "max": 4096, "step": 1}], "shape_height": ["INT", {"default": 128, "min": 2, "max": 4096, "step": 1}], "shape_color": ["STRING", {"default": "white"}], "bg_color": ["STRING", {"default": "black"}], "blur_radius": ["FLOAT", {"default": 0.0, "min": 0.0, "max": 100, "step": 0.1}], "intensity": ["FLOAT", {"default": 1.0, "min": 0.01, "max": 100.0, "step": 0.01}]}, "optional": {"size_multiplier": ["FLOAT", {"default": [1.0], "forceInput": true}], "trailing": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 10.0, "step": 0.01}], "border_width": ["INT", {"default": 0, "min": 0, "max": 100, "step": 1}], "border_color": ["STRING", {"default": "black"}]}}, "input_order": {"required": ["shape", "coordinates", "frame_width", "frame_height", "shape_width", "shape_height", "shape_color", "bg_color", "blur_radius", "intensity"], "optional": ["size_multiplier", "trailing", "border_width", "border_color"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["image", "mask"], "name": "CreateShapeImageOnPath", "display_name": "Create Shape Image On Path", "description": "\nCreates an image or batch of images with the specified shape.  \nLocations are center locations.  \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateShapeMaskOnPath": {"input": {"required": {"shape": [["circle", "square", "triangle"], {"default": "circle"}], "coordinates": ["STRING", {"forceInput": true}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "shape_width": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}], "shape_height": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 1}]}, "optional": {"size_multiplier": ["FLOAT", {"default": [1.0], "forceInput": true}]}}, "input_order": {"required": ["shape", "coordinates", "frame_width", "frame_height", "shape_width", "shape_height"], "optional": ["size_multiplier"]}, "is_input_list": false, "output": ["MASK", "MASK"], "output_is_list": [false, false], "output_name": ["mask", "mask_inverted"], "name": "CreateShapeMaskOnPath", "display_name": "Create Shape Mask On Path", "description": "\nCreates a mask or batch of masks with the specified shape.  \nLocations are center locations.  \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking/generate", "output_node": false, "has_intermediate_output": false, "deprecated": true, "search_aliases": []}, "CreateTextOnPath": {"input": {"required": {"coordinates": ["STRING", {"forceInput": true}], "text": ["STRING", {"default": "text", "multiline": true}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "font": [["FreeMono.ttf", "FreeMonoBoldOblique.otf", "TTNorms-Black.otf"]], "font_size": ["INT", {"default": 42}], "alignment": [["left", "center", "right"], {"default": "center"}], "text_color": ["STRING", {"default": "white"}]}, "optional": {"size_multiplier": ["FLOAT", {"default": [1.0], "forceInput": true}]}}, "input_order": {"required": ["coordinates", "text", "frame_width", "frame_height", "font", "font_size", "alignment", "text_color"], "optional": ["size_multiplier"]}, "is_input_list": false, "output": ["IMAGE", "MASK", "MASK"], "output_is_list": [false, false, false], "output_name": ["image", "mask", "mask_inverted"], "name": "CreateTextOnPath", "display_name": "Create Text On Path", "description": "\nCreates a mask or batch of masks with the specified text.  \nLocations are center locations.  \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking/generate", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CreateGradientFromCoords": {"input": {"required": {"coordinates": ["STRING", {"forceInput": true}], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "start_color": ["STRING", {"default": "white"}], "end_color": ["STRING", {"default": "black"}], "multiplier": ["FLOAT", {"default": 1.0, "min": 0.01, "max": 100.0, "step": 0.01}]}}, "input_order": {"required": ["coordinates", "frame_width", "frame_height", "start_color", "end_color", "multiplier"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "CreateGradientFromCoords", "display_name": "Create Gradient From Coords", "description": "\nCreates a gradient image from coordinates.    \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CutAndDragOnPath": {"input": {"required": {"image": ["IMAGE"], "coordinates": ["STRING", {"forceInput": true}], "mask": ["MASK"], "frame_width": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "frame_height": ["INT", {"default": 512, "min": 16, "max": 4096, "step": 1}], "inpaint": ["BOOLEAN", {"default": true}]}, "optional": {"bg_image": ["IMAGE"]}}, "input_order": {"required": ["image", "coordinates", "mask", "frame_width", "frame_height", "inpaint"], "optional": ["bg_image"]}, "is_input_list": false, "output": ["IMAGE", "MASK"], "output_is_list": [false, false], "output_name": ["image", "mask"], "name": "CutAndDragOnPath", "display_name": "Cut And Drag On Path", "description": "\nCuts the masked area from the image, and drags it along the path. If inpaint is enabled, and no bg_image is provided, the cut area is filled using cv2 TELEA algorithm.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "GradientToFloat": {"input": {"required": {"image": ["IMAGE"], "steps": ["INT", {"default": 10, "min": 2, "max": 10000, "step": 1}]}}, "input_order": {"required": ["image", "steps"]}, "is_input_list": false, "output": ["FLOAT", "FLOAT"], "output_is_list": [false, false], "output_name": ["float_x", "float_y"], "name": "GradientToFloat", "display_name": "Gradient To Float", "description": "\nCalculates list of floats from image.    \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "WeightScheduleExtend": {"input": {"required": {"input_values_1": ["FLOAT", {"default": 0.0, "forceInput": true}], "input_values_2": ["FLOAT", {"default": 0.0, "forceInput": true}], "output_type": [["match_input", "list", "pandas series", "tensor"], {"default": "match_input"}]}}, "input_order": {"required": ["input_values_1", "input_values_2", "output_type"]}, "is_input_list": false, "output": ["FLOAT"], "output_is_list": [false], "output_name": ["FLOAT"], "name": "WeightScheduleExtend", "display_name": "Weight Schedule Extend", "description": "\nExtends, and converts if needed, different value lists/series  \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/weights", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "MaskOrImageToWeight": {"input": {"required": {"output_type": [["list", "pandas series", "tensor", "string"], {"default": "list"}]}, "optional": {"images": ["IMAGE"], "masks": ["MASK"]}}, "input_order": {"required": ["output_type"], "optional": ["images", "masks"]}, "is_input_list": false, "output": ["FLOAT", "STRING"], "output_is_list": [false, false], "output_name": ["FLOAT", "STRING"], "name": "MaskOrImageToWeight", "display_name": "Mask Or Image To Weight", "description": "\nGets the mean values from mask or image batch  \nand returns that as the selected output type.   \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/weights", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "WeightScheduleConvert": {"input": {"required": {"input_values": ["FLOAT", {"default": 0.0, "forceInput": true}], "output_type": [["match_input", "list", "pandas series", "tensor"], {"default": "list"}], "invert": ["BOOLEAN", {"default": false}], "repeat": ["INT", {"default": 1, "min": 1, "max": 255, "step": 1}]}, "optional": {"remap_to_frames": ["INT", {"default": 0}], "interpolation_curve": ["FLOAT", {"forceInput": true}], "remap_values": ["BOOLEAN", {"default": false}], "remap_min": ["FLOAT", {"default": 0.0, "min": -100000, "max": 100000.0, "step": 0.01}], "remap_max": ["FLOAT", {"default": 1.0, "min": -100000, "max": 100000.0, "step": 0.01}]}}, "input_order": {"required": ["input_values", "output_type", "invert", "repeat"], "optional": ["remap_to_frames", "interpolation_curve", "remap_values", "remap_min", "remap_max"]}, "is_input_list": false, "output": ["FLOAT", "STRING", "INT"], "output_is_list": [false, false, false], "output_name": ["FLOAT", "STRING", "INT"], "name": "WeightScheduleConvert", "display_name": "Weight Schedule Convert", "description": "\nConverts different value lists/series to another type.  \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/weights", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "FloatToMask": {"input": {"required": {"input_values": ["FLOAT", {"forceInput": true, "default": 0}], "width": ["INT", {"default": 100, "min": 1}], "height": ["INT", {"default": 100, "min": 1}]}}, "input_order": {"required": ["input_values", "width", "height"]}, "is_input_list": false, "output": ["MASK"], "output_is_list": [false], "output_name": ["MASK"], "name": "FloatToMask", "display_name": "Float To Mask", "description": "\nGenerates a batch of masks based on the input float values.\nThe batch size is determined by the length of the input float values.\nEach mask is generated with the specified width and height.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/masking/generate", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "FloatToSigmas": {"input": {"required": {"float_list": ["FLOAT", {"default": 0.0, "forceInput": true}]}}, "input_order": {"required": ["float_list"]}, "is_input_list": false, "output": ["SIGMAS"], "output_is_list": [false], "output_name": ["SIGMAS"], "name": "FloatToSigmas", "display_name": "Float To Sigmas", "description": "\nCreates a sigmas tensor from list of float values.  \n\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/noise", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SigmasToFloat": {"input": {"required": {"sigmas": ["SIGMAS"]}}, "input_order": {"required": ["sigmas"]}, "is_input_list": false, "output": ["FLOAT"], "output_is_list": [false], "output_name": ["float"], "name": "SigmasToFloat", "display_name": "Sigmas To Float", "description": "\nCreates a float list from sigmas tensors.  \n\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/noise", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "PlotCoordinates": {"input": {"required": {"coordinates": ["STRING", {"forceInput": true}], "text": ["STRING", {"default": "title", "multiline": false}], "width": ["INT", {"default": 512, "min": 8, "max": 4096, "step": 8}], "height": ["INT", {"default": 512, "min": 8, "max": 4096, "step": 8}], "bbox_width": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 8}], "bbox_height": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 8}]}, "optional": {"size_multiplier": ["FLOAT", {"default": [1.0], "forceInput": true}]}}, "input_order": {"required": ["coordinates", "text", "width", "height", "bbox_width", "bbox_height"], "optional": ["size_multiplier"]}, "is_input_list": false, "output": ["IMAGE", "INT", "INT", "INT", "INT"], "output_is_list": [false, false, false, false, false], "output_name": ["images", "width", "height", "bbox_width", "bbox_height"], "name": "PlotCoordinates", "display_name": "Plot Coordinates", "description": "\nPlots coordinates to sequence of images using Matplotlib.  \n\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "InterpolateCoords": {"input": {"required": {"coordinates": ["STRING", {"forceInput": true}], "interpolation_curve": ["FLOAT", {"forceInput": true}]}}, "input_order": {"required": ["coordinates", "interpolation_curve"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["coordinates"], "name": "InterpolateCoords", "display_name": "Interpolate Coords", "description": "\nInterpolates coordinates based on a curve.   \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "PointsEditor": {"input": {"required": {"points_store": ["STRING", {"multiline": false}], "coordinates": ["STRING", {"multiline": false}], "neg_coordinates": ["STRING", {"multiline": false}], "bbox_store": ["STRING", {"multiline": false}], "bboxes": ["STRING", {"multiline": false}], "bbox_format": [["xyxy", "xywh"]], "width": ["INT", {"default": 512, "min": 8, "max": 4096, "step": 8}], "height": ["INT", {"default": 512, "min": 8, "max": 4096, "step": 8}], "normalize": ["BOOLEAN", {"default": false}]}, "optional": {"bg_image": ["IMAGE"]}}, "input_order": {"required": ["points_store", "coordinates", "neg_coordinates", "bbox_store", "bboxes", "bbox_format", "width", "height", "normalize"], "optional": ["bg_image"]}, "is_input_list": false, "output": ["STRING", "STRING", "BBOX", "MASK", "IMAGE"], "output_is_list": [false, false, false, false, false], "output_name": ["positive_coords", "negative_coords", "bbox", "bbox_mask", "cropped_image"], "name": "PointsEditor", "display_name": "Points Editor", "description": "\n# WORK IN PROGRESS  \nDo not count on this as part of your workflow yet,  \nprobably contains lots of bugs and stability is not  \nguaranteed!!  \n  \n## Graphical editor to create coordinates\n\n**Shift + click** to add a positive (green) point.\n**Shift + right click** to add a negative (red) point.\n**Ctrl + click** to draw a box.  \n**Right click on a point** to delete it.    \nNote that you can't delete from start/end of the points array.  \n  \nTo add an image select the node and copy/paste or drag in the image.  \nOr from the bg_image input on queue (first frame of the batch).  \n\n**THE IMAGE IS SAVED TO THE NODE AND WORKFLOW METADATA**  \nyou can clear the image from the context menu by right clicking on the canvas  \n\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SoundReactive": {"input": {"required": {"sound_level": ["FLOAT", {"default": 1.0, "min": 0.0, "max": 99999, "step": 0.01}], "start_range_hz": ["INT", {"default": 150, "min": 0, "max": 9999, "step": 1}], "end_range_hz": ["INT", {"default": 2000, "min": 0, "max": 9999, "step": 1}], "multiplier": ["FLOAT", {"default": 1.0, "min": 0.01, "max": 99999, "step": 0.01}], "smoothing_factor": ["FLOAT", {"default": 0.5, "min": 0.0, "max": 1.0, "step": 0.01}], "normalize": ["BOOLEAN", {"default": false}]}}, "input_order": {"required": ["sound_level", "start_range_hz", "end_range_hz", "multiplier", "smoothing_factor", "normalize"]}, "is_input_list": false, "output": ["FLOAT", "INT"], "output_is_list": [false, false], "output_name": ["sound_level", "sound_level_int"], "name": "SoundReactive", "display_name": "Sound Reactive", "description": "\nReacts to the sound level of the input.  \nUses your browsers sound input options and requires.  \nMeant to be used with realtime diffusion with autoqueue.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/audio", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "StableZero123_BatchSchedule": {"input": {"required": {"clip_vision": ["CLIP_VISION"], "init_image": ["IMAGE"], "vae": ["VAE"], "width": ["INT", {"default": 256, "min": 16, "max": 16384, "step": 8}], "height": ["INT", {"default": 256, "min": 16, "max": 16384, "step": 8}], "batch_size": ["INT", {"default": 1, "min": 1, "max": 4096}], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out"]], "azimuth_points_string": ["STRING", {"default": "0:(0.0),\n7:(1.0),\n15:(0.0)\n", "multiline": true}], "elevation_points_string": ["STRING", {"default": "0:(0.0),\n7:(0.0),\n15:(0.0)\n", "multiline": true}]}}, "input_order": {"required": ["clip_vision", "init_image", "vae", "width", "height", "batch_size", "interpolation", "azimuth_points_string", "elevation_points_string"]}, "is_input_list": false, "output": ["CONDITIONING", "CONDITIONING", "LATENT"], "output_is_list": [false, false, false], "output_name": ["positive", "negative", "latent"], "name": "StableZero123_BatchSchedule", "display_name": "Stable Zero123 Batch Schedule", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SV3D_BatchSchedule": {"input": {"required": {"clip_vision": ["CLIP_VISION"], "init_image": ["IMAGE"], "vae": ["VAE"], "width": ["INT", {"default": 576, "min": 16, "max": 16384, "step": 8}], "height": ["INT", {"default": 576, "min": 16, "max": 16384, "step": 8}], "batch_size": ["INT", {"default": 21, "min": 1, "max": 4096}], "interpolation": [["linear", "ease_in", "ease_out", "ease_in_out"]], "azimuth_points_string": ["STRING", {"default": "0:(0.0),\n9:(180.0),\n20:(360.0)\n", "multiline": true}], "elevation_points_string": ["STRING", {"default": "0:(0.0),\n9:(0.0),\n20:(0.0)\n", "multiline": true}]}}, "input_order": {"required": ["clip_vision", "init_image", "vae", "width", "height", "batch_size", "interpolation", "azimuth_points_string", "elevation_points_string"]}, "is_input_list": false, "output": ["CONDITIONING", "CONDITIONING", "LATENT"], "output_is_list": [false, false, false], "output_name": ["positive", "negative", "latent"], "name": "SV3D_BatchSchedule", "display_name": "SV3D Batch Schedule", "description": "\nAllow scheduling of the azimuth and elevation conditions for SV3D.  \nNote that SV3D is still a video model and the schedule needs to always go forward  \nhttps://huggingface.co/stabilityai/sv3d\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", 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"sdxl/realcartoonXL_v6.safetensors", "sdxl/realitycheckXL_alpha11.safetensors", "sdxl/reproductionSDXL_2v12.safetensors", "sdxl/reproductionSDXL_v31.safetensors", "sdxl/revAnimated_v11.safetensors", "sdxl/sd_xl_base_1.0.safetensors", "sdxl/sd_xl_turbo_1.0.safetensors", "sdxl/sdxlUnstableDiffusers_v11.safetensors", "sdxl/tamarinXL_v10.safetensors", "sdxl/wildcardxXLTURBO_wildcardxXLTURBOV10.safetensors", "sigclip_vision_patch14_384.safetensors", "stable-audio-open-1.0.safetensors", "supir/SUPIR-v0F.ckpt", "supir/SUPIR-v0Q.ckpt", "svd/svd.safetensors", "svd/svd_xt.safetensors", "svd/svd_xt_1_1.safetensors", "upscale/x4-upscaler-ema.safetensors", "v1-5-pruned-emaonly-fp16.safetensors", "v1-5-pruned-emaonly.ckpt", "v1-5-pruned-emaonly.safetensors", "v2-1_768-ema-pruned.safetensors", "v2-1_768-nonema-pruned.safetensors", "wildcardxXLANIMATION_wildcardxXLANIMATION.safetensors"]]}}, "input_order": {"required": ["model", "resadapter_path"]}, "is_input_list": false, "output": ["MODEL"], "output_is_list": [false], "output_name": ["MODEL"], "name": "LoadResAdapterNormalization", "display_name": "LoadResAdapterNormalization", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "Superprompt": {"input": {"required": {"instruction_prompt": ["STRING", {"default": "Expand the following prompt to add more detail", "multiline": true}], "prompt": ["STRING", {"default": "", "multiline": true, "forceInput": true}], "max_new_tokens": ["INT", {"default": 128, "min": 1, "max": 4096, "step": 1}]}}, "input_order": {"required": ["instruction_prompt", "prompt", "max_new_tokens"]}, "is_input_list": false, "output": ["STRING"], "output_is_list": [false], "output_name": ["STRING"], "name": "Superprompt", "display_name": "Superprompt", "description": "\n# SuperPrompt\nA T5 model fine-tuned on the SuperPrompt dataset for  \nupsampling text prompts to more detailed descriptions.  \nMeant to be used as a pre-generation step for text-to-image  \nmodels that benefit from more detailed prompts.  \nhttps://huggingface.co/roborovski/superprompt-v1\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/text", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "GLIGENTextBoxApplyBatchCoords": {"input": {"required": {"conditioning_to": ["CONDITIONING"], "latents": ["LATENT"], "clip": ["CLIP"], "gligen_textbox_model": ["GLIGEN"], "coordinates": ["STRING", {"forceInput": true}], "text": ["STRING", {"multiline": true}], "width": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 8}], "height": ["INT", {"default": 128, "min": 8, "max": 4096, "step": 8}]}, "optional": {"size_multiplier": ["FLOAT", {"default": [1.0], "forceInput": true}]}}, "input_order": {"required": ["conditioning_to", "latents", "clip", "gligen_textbox_model", "coordinates", "text", "width", "height"], "optional": ["size_multiplier"]}, "is_input_list": false, "output": ["CONDITIONING", "IMAGE"], "output_is_list": [false, false], "output_name": ["conditioning", "coord_preview"], "name": "GLIGENTextBoxApplyBatchCoords", "display_name": "GLIGENTextBoxApplyBatchCoords", "description": "\nThis node allows scheduling GLIGEN text box positions in a batch,  \nto be used with AnimateDiff-Evolved. Intended to pair with the  \nSpline Editor -node.  \n\nGLIGEN model can be downloaded through the Manage's \"Install Models\" menu.  \nOr directly from here:  \nhttps://huggingface.co/comfyanonymous/GLIGEN_pruned_safetensors/tree/main  \n  \nInputs:  \n- **latents** input is used to calculate batch size  \n- **clip** is your standard text encoder, use same as for the main prompt  \n- **gligen_textbox_model** connects to GLIGEN Loader  \n- **coordinates** takes a json string of points, directly compatible  \nwith the spline editor node.\n- **text** is the part of the prompt to set position for  \n- **width** and **height** are the size of the GLIGEN bounding box  \n  \nOutputs:\n- **conditioning** goes between to clip text encode and the sampler  \n- **coord_preview** is an optional preview of the coordinates and  \nbounding boxes.\n\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "Intrinsic_lora_sampling": {"input": {"required": {"model": ["MODEL"], "lora_name": [["intrinsic_lora_sd15_albedo.safetensors", "intrinsic_lora_sd15_depth.safetensors", "intrinsic_lora_sd15_normal.safetensors", "intrinsic_lora_sd15_shading.safetensors", "intrinsic_loras.txt"]], "task": [["depth map", "surface normals", "albedo", "shading"], {"default": "depth map"}], "text": ["STRING", {"multiline": true, "default": ""}], "clip": ["CLIP"], "vae": ["VAE"], "per_batch": ["INT", {"default": 16, "min": 1, "max": 4096, "step": 1}]}, "optional": {"image": ["IMAGE"], "optional_latent": ["LATENT"]}}, "input_order": {"required": ["model", "lora_name", "task", "text", "clip", "vae", "per_batch"], "optional": ["image", "optional_latent"]}, "is_input_list": false, "output": ["IMAGE", "LATENT"], "output_is_list": [false, false], "output_name": ["IMAGE", "LATENT"], "name": "Intrinsic_lora_sampling", "display_name": "Intrinsic Lora Sampling", "description": "\nSampler to use the intrinsic loras:  \nhttps://github.com/duxiaodan/intrinsic-lora  \nThese LoRAs are tiny and thus included  \nwith this node pack.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CheckpointPerturbWeights": {"input": {"required": {"model": ["MODEL"], "joint_blocks": ["FLOAT", {"default": 0.02, "min": 0.001, "max": 10.0, "step": 0.001}], "final_layer": ["FLOAT", {"default": 0.02, "min": 0.001, "max": 10.0, "step": 0.001}], "rest_of_the_blocks": ["FLOAT", {"default": 0.02, "min": 0.001, "max": 10.0, "step": 0.001}], "seed": ["INT", {"default": 123, "min": 0, "max": 18446744073709551615, "step": 1}]}}, "input_order": {"required": ["model", "joint_blocks", "final_layer", "rest_of_the_blocks", "seed"]}, "is_input_list": false, "output": ["MODEL"], "output_is_list": [false], "output_name": ["MODEL"], "name": "CheckpointPerturbWeights", "display_name": "CheckpointPerturbWeights", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": true, "has_intermediate_output": false, "search_aliases": []}, "Screencap_mss": {"input": {"required": {"x": ["INT", {"default": 0, "min": 0, "max": 10000, "step": 1}], "y": ["INT", {"default": 0, "min": 0, "max": 10000, "step": 1}], "width": ["INT", {"default": 512, "min": 0, "max": 10000, "step": 1}], "height": ["INT", {"default": 512, "min": 0, "max": 10000, "step": 1}], "num_frames": ["INT", {"default": 1, "min": 1, "max": 255, "step": 1}], "delay": ["FLOAT", {"default": 0.1, "min": 0.0, "max": 10.0, "step": 0.01}]}}, "input_order": {"required": ["x", "y", "width", "height", "num_frames", "delay"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "Screencap_mss", "display_name": "Screencap mss", "description": "\nCaptures an area specified by screen coordinates.  \nCan be used for realtime diffusion with autoqueue.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/image", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "WebcamCaptureCV2": {"input": {"required": {"x": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}], "y": ["INT", {"default": 0, "min": 0, "max": 4096, "step": 1}], "width": ["INT", {"default": 512, "min": 0, "max": 4096, "step": 1}], "height": ["INT", {"default": 512, "min": 0, "max": 4096, "step": 1}], "cam_index": ["INT", {"default": 0, "min": 0, "max": 255, "step": 1}], "release": ["BOOLEAN", {"default": false}]}}, "input_order": {"required": ["x", "y", "width", "height", "cam_index", "release"]}, "is_input_list": false, "output": ["IMAGE"], "output_is_list": [false], "output_name": ["image"], "name": "WebcamCaptureCV2", "display_name": "Webcam Capture CV2", "description": "\nCaptures a frame from a webcam using CV2.  \nCan be used for realtime diffusion with autoqueue.\n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "DifferentialDiffusionAdvanced": {"input": {"required": {"model": ["MODEL"], "samples": ["LATENT"], "mask": ["MASK"], "multiplier": ["FLOAT", {"default": 1.0, "min": -10.0, "max": 10.0, "step": 0.001}]}}, "input_order": {"required": ["model", "samples", "mask", "multiplier"]}, "is_input_list": false, "output": ["MODEL", "LATENT"], "output_is_list": [false, false], "output_name": ["MODEL", "LATENT"], "name": "DifferentialDiffusionAdvanced", "display_name": "Differential Diffusion Advanced", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "_for_testing", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "DiTBlockLoraLoader": {"input": {"required": {"model": ["MODEL", {"tooltip": "The diffusion model the LoRA will be applied to."}], "strength_model": ["FLOAT", {"default": 1.0, "min": 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This value can be negative."}]}, "optional": {"lora_name": [["AnimateLCM/AnimateLCM_sd15_t2v_lora.safetensors", "Detailed_Hands-000001.safetensors", "Expressive_H-000001.safetensors", "FLUX.1-Turbo-Alpha.safetensors", "Flux2TurboComfyv2.safetensors", "Flux_2-Turbo-LoRA_comfyui.safetensors", "LineArt.safetensors", "OilPainting.safetensors", "PerfectEyesXL.safetensors", "Qwen-Edit-2509-Multiple-angles.safetensors", "Qwen-Image-Edit-2509-Anything2RealAlpha.safetensors", "Qwen-Image-Edit-2509-Fusion.safetensors", "Qwen-Image-Edit-2509-Light-Migration.safetensors", "Qwen-Image-Edit-2509-Relight.safetensors", "Qwen-Image-Edit-2509-White_to_Scene.safetensors", "Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors", "Qwen-Image-Lightning-4steps-V1.0.safetensors", "SDXL_StopMotion_lora.safetensors", "SU_Twrk_EP62.safetensors", "Samsung_UltraReal.safetensors", "UltraRealPhoto.safetensors", "WAN_dr34mj0b.safetensors", "Wan21_CausVid_14B_T2V_lora_rank32.safetensors", 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"ral-dissolve-sdxl.safetensors", "refcontrol_pose.safetensors", "sd1/3232pixel.safetensors", "sd1/AoTStyle.safetensors", "sd1/AxelStone-DocStasis.safetensors", "sd1/DrippingArt.safetensors", "sd1/GTA_Style.safetensors", "sd1/LiquidAF-0-1.safetensors", "sd1/Longan.safetensors", "sd1/Magazine-10.safetensors", "sd1/Naruto.safetensors", "sd1/add_detail.safetensors", "sd1/anime_minimalist_v1-000020.safetensors", "sd1/animemix_v3_offset.safetensors", "sd1/animeoutlineV4_16.safetensors", "sd1/arcane_offset.safetensors", "sd1/concept_master_1.0.safetensors", "sd1/epi_noiseoffset2.pt", "sd1/ghibli_style_offset.safetensors", "sd1/ip-adapter-faceid-plus_sd15_lora.safetensors", "sd1/ip-adapter-faceid-plusv2_sd15_lora.safetensors", "sd1/ip-adapter-faceid_sd15_lora.safetensors", "sd1/modernlogo.safetensors", "sd1/more_details.safetensors", "sd1/neg4all_bdsqlsz_V3.5.safetensors", "sd1/sd15_lcm_lora.safetensors", "sd1/tangbohu-line_1.0.safetensors", "sd1/v3_sd15_adapter.ckpt", 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"ApplyRifleXRoPE_WanVideo", "display_name": "Apply RifleXRoPE WanVideo", "description": "Extends the potential frame count of HunyuanVideo using this method: https://github.com/thu-ml/RIFLEx", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": false, "has_intermediate_output": false, "experimental": true, "search_aliases": []}, "WanVideoTeaCacheKJ": {"input": {"required": {"model": ["MODEL"], "rel_l1_thresh": ["FLOAT", {"default": 0.275, "min": 0.0, "max": 10.0, "step": 0.001, "tooltip": "Threshold for to determine when to apply the cache, compromise between speed and accuracy. 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Speeds up inference by caching the output and  \napplying it instead of doing the step.  Best results are achieved by choosing the  \nappropriate coefficients for the model. Early steps should never be skipped, with too  \naggressive values this can happen and the motion suffers. Starting later can help with that too.   \nWhen NOT using coefficients, the threshold value should be  \nabout 10 times smaller than the value used with coefficients.  \n\nOfficial recommended values https://github.com/ali-vilab/TeaCache/tree/main/TeaCache4Wan2.1:\n\n\n<pre style='font-family:monospace'>\n+-------------------+--------+---------+--------+\n|       Model       |  Low   | Medium  |  High  |\n+-------------------+--------+---------+--------+\n| Wan2.1 t2v 1.3B  |  0.05  |  0.07   |  0.08  |\n| Wan2.1 t2v 14B   |  0.14  |  0.15   |  0.20  |\n| Wan2.1 i2v 480P  |  0.13  |  0.19   |  0.26  |\n| Wan2.1 i2v 720P  |  0.18  |  0.20   |  0.30  |\n+-------------------+--------+---------+--------+\n</pre> \n", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/teacache", "output_node": false, "has_intermediate_output": false, "experimental": true, "search_aliases": []}, "WanVideoEnhanceAVideoKJ": {"input": {"required": {"model": ["MODEL"], "latent": ["LATENT", 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{"required": ["model", "blocks", "start_percent", "end_percent"]}, "is_input_list": false, "output": ["MODEL"], "output_is_list": [false], "output_name": ["MODEL"], "name": "SkipLayerGuidanceWanVideo", "display_name": "Skip Layer Guidance WanVideo", "description": "Simplified skip layer guidance that only skips the uncond on selected blocks", "python_module": "custom_nodes.comfyui-kjnodes", "category": "advanced/guidance", "output_node": false, "has_intermediate_output": false, "experimental": true, "search_aliases": []}, "TimerNodeKJ": {"input": {"required": {"any_input": ["*"], "mode": [["start", "stop"]], "name": ["STRING", {"default": "Timer"}]}, "optional": {"timer": ["TIMER"]}}, "input_order": {"required": ["any_input", "mode", "name"], "optional": ["timer"]}, "is_input_list": false, "output": ["*", "TIMER", "INT"], "output_is_list": [false, false, false], "output_name": ["any_output", "timer", "time"], "name": "TimerNodeKJ", "display_name": "Timer Node KJ", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/misc", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "HunyuanVideoEncodeKeyframesToCond": {"input": {"required": {"model": ["MODEL"], "positive": ["CONDITIONING"], "vae": ["VAE"], "start_frame": ["IMAGE"], "end_frame": ["IMAGE"], "num_frames": ["INT", {"default": 33, "min": 2, "max": 4096, "step": 1}], "tile_size": ["INT", {"default": 512, "min": 64, "max": 4096, "step": 64}], "overlap": ["INT", {"default": 64, "min": 0, "max": 4096, "step": 32}], "temporal_size": ["INT", {"default": 64, "min": 8, "max": 4096, "step": 4, "tooltip": "Only used for video VAEs: Amount of frames to encode at a time."}], "temporal_overlap": ["INT", {"default": 8, "min": 4, "max": 4096, "step": 4, "tooltip": "Only used for video VAEs: Amount of frames to overlap."}]}, "optional": {"negative": ["CONDITIONING"]}}, "input_order": {"required": ["model", "positive", "vae", "start_frame", "end_frame", "num_frames", "tile_size", "overlap", "temporal_size", "temporal_overlap"], "optional": ["negative"]}, "is_input_list": false, "output": ["MODEL", "CONDITIONING", "CONDITIONING", "LATENT"], "output_is_list": [false, false, false, false], "output_name": ["model", "positive", "negative", "latent"], "name": "HunyuanVideoEncodeKeyframesToCond", "display_name": "HunyuanVideo Encode Keyframes To Cond", "description": "", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/videomodels", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "CFGZeroStarAndInit": {"input": {"required": {"model": ["MODEL"], "use_zero_init": ["BOOLEAN", {"default": true}], "zero_init_steps": ["INT", {"default": 0, "min": 0, "tooltip": "for zero init, starts from 0 so first step is always zeroed out if use_zero_init enabled"}]}}, "input_order": {"required": ["model", "use_zero_init", "zero_init_steps"]}, "is_input_list": false, "output": ["MODEL"], "output_is_list": [false], "output_name": ["MODEL"], "name": "CFGZeroStarAndInit", "display_name": "CFG Zero Star/Init", "description": "https://github.com/WeichenFan/CFG-Zero-star", "python_module": "custom_nodes.comfyui-kjnodes", "category": "KJNodes/experimental", "output_node": false, "has_intermediate_output": false, "experimental": true, "search_aliases": []}, "ModelPatchTorchSettings": {"input": {"required": {"model": ["MODEL"], "enable_fp16_accumulation": ["BOOLEAN", {"default": false, "tooltip": "Enable torch.backends.cuda.matmul.allow_fp16_accumulation, requires pytorch 2.7.0 nightly."}]}}, "input_order": {"required": ["model", "enable_fp16_accumulation"]}, "is_input_list": false, "output": ["MODEL"], "output_is_list": [false], "output_name": ["MODEL"], "name": "ModelPatchTorchSettings", "display_name": "Model Patch Torch Settings", "description": "Adds callbacks to model to set torch settings before and after running the model.", "python_module": "custom_nodes.comfyui-kjnodes", "category": 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"CLIP", "TEXT_G", "TEXT_L"], "name": "SDXL Power Prompt - Positive (rgthree)", "display_name": "SDXL Power Prompt - Positive (rgthree)", "description": "", "python_module": "custom_nodes.rgthree-comfy", "category": "rgthree", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "SDXL Power Prompt - Simple / Negative (rgthree)": {"input": {"required": {"prompt_g": ["STRING", {"multiline": true, "dynamicPrompts": true}], "prompt_l": ["STRING", {"multiline": true, "dynamicPrompts": true}]}, "optional": {"opt_clip": ["CLIP"], "opt_clip_width": ["INT", {"forceInput": true, "default": 1024.0, "min": 0, "max": 16384}], "opt_clip_height": ["INT", {"forceInput": true, "default": 1024.0, "min": 0, "max": 16384}], "insert_embedding": [["CHOOSE", "AS-YoungV2-neg", "AS-YoungV2", "BadDream", "By bad artist -neg", "ERA09NEGV2", "EasyNegativeV2", "FastNegativeV2", "GS-DeFeminize-neg", "GS-DeMasculate-neg", "GS-Girlish", "Style-GravityMagic", "bad-hands-5", "bad-picture-chill-75v", "badhandv4", "badpic", "easynegative", "epiCNegative", "negative_hand-neg", "ng_deepnegative_v1_75t", "nobg", "prettify", "prettyeyes", "style-rustmagic-neg", "style-rustmagic", "verybadimagenegative_v1.3"]], "insert_saved": [["CHOOSE"]], "target_width": ["INT", {"default": -1, "min": -1, "max": 16384}], "target_height": ["INT", {"default": -1, "min": -1, "max": 16384}], "crop_width": ["INT", {"default": -1, "min": -1, "max": 16384}], "crop_height": ["INT", {"default": -1, "min": -1, "max": 16384}]}, "hidden": {"values_insert_saved": [["CHOOSE"]]}}, "input_order": {"required": ["prompt_g", "prompt_l"], "optional": ["opt_clip", "opt_clip_width", "opt_clip_height", "insert_embedding", "insert_saved", "target_width", "target_height", "crop_width", "crop_height"], "hidden": ["values_insert_saved"]}, "is_input_list": false, "output": ["CONDITIONING", "STRING", "STRING"], "output_is_list": [false, false, false], "output_name": ["CONDITIONING", "TEXT_G", "TEXT_L"], "name": "SDXL Power Prompt - Simple / Negative (rgthree)", "display_name": "SDXL Power Prompt - Simple / Negative (rgthree)", "description": "", "python_module": "custom_nodes.rgthree-comfy", "category": "rgthree", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "Any Switch (rgthree)": {"input": {"required": {}, "optional": {}}, "input_order": {"required": [], "optional": []}, "is_input_list": false, "output": ["*"], "output_is_list": [false], "output_name": ["*"], "name": "Any Switch (rgthree)", "display_name": "Any Switch (rgthree)", "description": "", "python_module": "custom_nodes.rgthree-comfy", "category": "rgthree", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "Image Comparer (rgthree)": {"input": {"required": {}, "optional": {"image_a": ["IMAGE"], "image_b": ["IMAGE"]}, "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"}}, "input_order": {"required": [], "optional": ["image_a", "image_b"], "hidden": 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"custom_nodes.rgthree-comfy", "category": "rgthree", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "Power Primitive (rgthree)": {"input": {"required": {}, "optional": {}}, "input_order": {"required": [], "optional": []}, "is_input_list": false, "output": ["*"], "output_is_list": [false], "output_name": ["*"], "name": "Power Primitive (rgthree)", "display_name": "Power Primitive (rgthree)", "description": "", "python_module": "custom_nodes.rgthree-comfy", "category": "rgthree", "output_node": false, "has_intermediate_output": false, "search_aliases": []}, "Image or Latent Size (rgthree)": {"input": {"required": {}, "optional": {}}, "input_order": {"required": [], "optional": []}, "is_input_list": false, "output": ["INT", "INT"], "output_is_list": [false, false], "output_name": ["WIDTH", "HEIGHT"], "name": "Image or Latent Size (rgthree)", "display_name": "Image or Latent Size (rgthree)", "description": "", "python_module": "custom_nodes.rgthree-comfy", 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