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wip add AI generated descriptions to all nodes

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pythongosssss
2026-02-16 14:02:17 -08:00
parent 88e6370527
commit ecec1310b2
119 changed files with 1059 additions and 15 deletions
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11
comfy_api_nodes/nodes_bfl.py
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@@ -44,6 +44,7 @@ class FluxProUltraImageNode(IO.ComfyNode):
display_name="Flux 1.1 [pro] Ultra Image",
category="api node/image/BFL",
description="Generates images using Flux Pro 1.1 Ultra via api based on prompt and resolution.",
short_description="Generate images with Flux Pro 1.1 Ultra API.",
inputs=[
IO.String.Input(
"prompt",
@@ -154,13 +155,17 @@ class FluxProUltraImageNode(IO.ComfyNode):
class FluxKontextProImageNode(IO.ComfyNode):
DESCRIPTION = "Edits images using Flux.1 Kontext [pro] via api based on prompt and aspect ratio."
SHORT_DESCRIPTION = "Edit images with Flux.1 Kontext [pro] API."
@classmethod
def define_schema(cls) -> IO.Schema:
return IO.Schema(
node_id=cls.NODE_ID,
display_name=cls.DISPLAY_NAME,
category="api node/image/BFL",
description="Edits images using Flux.1 Kontext [pro] via api based on prompt and aspect ratio.",
description=cls.DESCRIPTION,
short_description=cls.SHORT_DESCRIPTION,
inputs=[
IO.String.Input(
"prompt",
@@ -268,6 +273,7 @@ class FluxKontextProImageNode(IO.ComfyNode):
class FluxKontextMaxImageNode(FluxKontextProImageNode):
DESCRIPTION = "Edits images using Flux.1 Kontext [max] via api based on prompt and aspect ratio."
SHORT_DESCRIPTION = "Edit images with Flux.1 Kontext [max] API."
BFL_PATH = "/proxy/bfl/flux-kontext-max/generate"
NODE_ID = "FluxKontextMaxImageNode"
DISPLAY_NAME = "Flux.1 Kontext [max] Image"
@@ -282,6 +288,7 @@ class FluxProExpandNode(IO.ComfyNode):
display_name="Flux.1 Expand Image",
category="api node/image/BFL",
description="Outpaints image based on prompt.",
short_description=None,
inputs=[
IO.Image.Input("image"),
IO.String.Input(
@@ -418,6 +425,7 @@ class FluxProFillNode(IO.ComfyNode):
display_name="Flux.1 Fill Image",
category="api node/image/BFL",
description="Inpaints image based on mask and prompt.",
short_description=None,
inputs=[
IO.Image.Input("image"),
IO.Mask.Input("mask"),
@@ -543,6 +551,7 @@ class Flux2ProImageNode(IO.ComfyNode):
display_name=cls.DISPLAY_NAME,
category="api node/image/BFL",
description="Generates images synchronously based on prompt and resolution.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",

1
comfy_api_nodes/nodes_bria.py
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@@ -33,6 +33,7 @@ class BriaImageEditNode(IO.ComfyNode):
display_name="Bria FIBO Image Edit",
category="api node/image/Bria",
description="Edit images using Bria latest model",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["FIBO"]),
IO.Image.Input("image"),

6
comfy_api_nodes/nodes_bytedance.py
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@@ -60,6 +60,7 @@ class ByteDanceImageNode(IO.ComfyNode):
display_name="ByteDance Image",
category="api node/image/ByteDance",
description="Generate images using ByteDance models via api based on prompt",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["seedream-3-0-t2i-250415"]),
IO.String.Input(
@@ -182,6 +183,7 @@ class ByteDanceSeedreamNode(IO.ComfyNode):
display_name="ByteDance Seedream 4.5",
category="api node/image/ByteDance",
description="Unified text-to-image generation and precise single-sentence editing at up to 4K resolution.",
short_description="Text-to-image generation and editing up to 4K.",
inputs=[
IO.Combo.Input(
"model",
@@ -380,6 +382,7 @@ class ByteDanceTextToVideoNode(IO.ComfyNode):
display_name="ByteDance Text to Video",
category="api node/video/ByteDance",
description="Generate video using ByteDance models via api based on prompt",
short_description=None,
inputs=[
IO.Combo.Input(
"model",
@@ -505,6 +508,7 @@ class ByteDanceImageToVideoNode(IO.ComfyNode):
display_name="ByteDance Image to Video",
category="api node/video/ByteDance",
description="Generate video using ByteDance models via api based on image and prompt",
short_description="Generate video from image and prompt via ByteDance API.",
inputs=[
IO.Combo.Input(
"model",
@@ -639,6 +643,7 @@ class ByteDanceFirstLastFrameNode(IO.ComfyNode):
display_name="ByteDance First-Last-Frame to Video",
category="api node/video/ByteDance",
description="Generate video using prompt and first and last frames.",
short_description=None,
inputs=[
IO.Combo.Input(
"model",
@@ -784,6 +789,7 @@ class ByteDanceImageReferenceNode(IO.ComfyNode):
display_name="ByteDance Reference Images to Video",
category="api node/video/ByteDance",
description="Generate video using prompt and reference images.",
short_description=None,
inputs=[
IO.Combo.Input(
"model",

4
comfy_api_nodes/nodes_gemini.py
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@@ -254,6 +254,7 @@ class GeminiNode(IO.ComfyNode):
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.",
short_description="Generate text responses with Google's Gemini AI.",
inputs=[
IO.String.Input(
"prompt",
@@ -480,6 +481,7 @@ class GeminiInputFiles(IO.ComfyNode):
"The files will be read by the Gemini model when generating a response. "
"The contents of the text file count toward the token limit. "
"🛈 TIP: Can be chained together with other Gemini Input File nodes.",
short_description="Load and prepare input files for Gemini LLM nodes.",
inputs=[
IO.Combo.Input(
"file",
@@ -534,6 +536,7 @@ class GeminiImage(IO.ComfyNode):
display_name="Nano Banana (Google Gemini Image)",
category="api node/image/Gemini",
description="Edit images synchronously via Google API.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -665,6 +668,7 @@ class GeminiImage2(IO.ComfyNode):
display_name="Nano Banana Pro (Google Gemini Image)",
category="api node/image/Gemini",
description="Generate or edit images synchronously via Google Vertex API.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",

4
comfy_api_nodes/nodes_grok.py
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@@ -36,6 +36,7 @@ class GrokImageNode(IO.ComfyNode):
display_name="Grok Image",
category="api node/image/Grok",
description="Generate images using Grok based on a text prompt",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["grok-imagine-image-beta"]),
IO.String.Input(
@@ -137,6 +138,7 @@ class GrokImageEditNode(IO.ComfyNode):
display_name="Grok Image Edit",
category="api node/image/Grok",
description="Modify an existing image based on a text prompt",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["grok-imagine-image-beta"]),
IO.Image.Input("image"),
@@ -226,6 +228,7 @@ class GrokVideoNode(IO.ComfyNode):
display_name="Grok Video",
category="api node/video/Grok",
description="Generate video from a prompt or an image",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["grok-imagine-video-beta"]),
IO.String.Input(
@@ -334,6 +337,7 @@ class GrokVideoEditNode(IO.ComfyNode):
display_name="Grok Video Edit",
category="api node/video/Grok",
description="Edit an existing video based on a text prompt.",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["grok-imagine-video-beta"]),
IO.String.Input(

2
comfy_api_nodes/nodes_hitpaw.py
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@@ -74,6 +74,7 @@ class HitPawGeneralImageEnhance(IO.ComfyNode):
category="api node/image/HitPaw",
description="Upscale low-resolution images to super-resolution, eliminate artifacts and noise. "
f"Maximum output: {MAX_MP_GENERATIVE} megapixels.",
short_description="Upscale images to super-resolution, removing artifacts and noise.",
inputs=[
IO.Combo.Input("model", options=["generative_portrait", "generative"]),
IO.Image.Input("image"),
@@ -205,6 +206,7 @@ class HitPawVideoEnhance(IO.ComfyNode):
category="api node/video/HitPaw",
description="Upscale low-resolution videos to high resolution, eliminate artifacts and noise. "
"Prices shown are per second of video.",
short_description="Upscale videos to high resolution, removing artifacts and noise.",
inputs=[
IO.DynamicCombo.Input("model", options=model_options),
IO.Video.Input("video"),

4
comfy_api_nodes/nodes_hunyuan3d.py
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@@ -54,6 +54,8 @@ class TencentTextToModelNode(IO.ComfyNode):
node_id="TencentTextToModelNode",
display_name="Hunyuan3D: Text to Model",
category="api node/3d/Tencent",
description="Generate 3D models from text prompts using Hunyuan3D Pro with configurable face count and geometry options.",
short_description="Generate 3D models from text using Hunyuan3D Pro.",
inputs=[
IO.Combo.Input(
"model",
@@ -168,6 +170,8 @@ class TencentImageToModelNode(IO.ComfyNode):
node_id="TencentImageToModelNode",
display_name="Hunyuan3D: Image(s) to Model",
category="api node/3d/Tencent",
description="Generate 3D models from images using Hunyuan3D Pro with optional multi-view inputs and configurable geometry.",
short_description="Generate 3D models from images using Hunyuan3D Pro.",
inputs=[
IO.Combo.Input(
"model",

3
comfy_api_nodes/nodes_ideogram.py
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@@ -236,6 +236,7 @@ class IdeogramV1(IO.ComfyNode):
display_name="Ideogram V1",
category="api node/image/Ideogram",
description="Generates images using the Ideogram V1 model.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -361,6 +362,7 @@ class IdeogramV2(IO.ComfyNode):
display_name="Ideogram V2",
category="api node/image/Ideogram",
description="Generates images using the Ideogram V2 model.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -526,6 +528,7 @@ class IdeogramV3(IO.ComfyNode):
category="api node/image/Ideogram",
description="Generates images using the Ideogram V3 model. "
"Supports both regular image generation from text prompts and image editing with mask.",
short_description="Generate and edit images with Ideogram V3.",
inputs=[
IO.String.Input(
"prompt",

27
comfy_api_nodes/nodes_kling.py
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@@ -642,6 +642,7 @@ class KlingCameraControls(IO.ComfyNode):
display_name="Kling Camera Controls",
category="api node/video/Kling",
description="Allows specifying configuration options for Kling Camera Controls and motion control effects.",
short_description="Configure Kling camera controls and motion effects.",
inputs=[
IO.Combo.Input("camera_control_type", options=KlingCameraControlType),
IO.Float.Input(
@@ -762,6 +763,7 @@ class KlingTextToVideoNode(IO.ComfyNode):
display_name="Kling Text to Video",
category="api node/video/Kling",
description="Kling Text to Video Node",
short_description=None,
inputs=[
IO.String.Input("prompt", multiline=True, tooltip="Positive text prompt"),
IO.String.Input("negative_prompt", multiline=True, tooltip="Negative text prompt"),
@@ -849,6 +851,7 @@ class OmniProTextToVideoNode(IO.ComfyNode):
display_name="Kling 3.0 Omni Text to Video",
category="api node/video/Kling",
description="Use text prompts to generate videos with the latest Kling model.",
short_description=None,
inputs=[
IO.Combo.Input("model_name", options=["kling-v3-omni", "kling-video-o1"]),
IO.String.Input(
@@ -989,6 +992,7 @@ class OmniProFirstLastFrameNode(IO.ComfyNode):
display_name="Kling 3.0 Omni First-Last-Frame to Video",
category="api node/video/Kling",
description="Use a start frame, an optional end frame, or reference images with the latest Kling model.",
short_description="Generate video from start/end frames or reference images.",
inputs=[
IO.Combo.Input("model_name", options=["kling-v3-omni", "kling-video-o1"]),
IO.String.Input(
@@ -1187,6 +1191,7 @@ class OmniProImageToVideoNode(IO.ComfyNode):
display_name="Kling 3.0 Omni Image to Video",
category="api node/video/Kling",
description="Use up to 7 reference images to generate a video with the latest Kling model.",
short_description="Generate video from up to 7 reference images.",
inputs=[
IO.Combo.Input("model_name", options=["kling-v3-omni", "kling-video-o1"]),
IO.String.Input(
@@ -1347,6 +1352,7 @@ class OmniProVideoToVideoNode(IO.ComfyNode):
display_name="Kling 3.0 Omni Video to Video",
category="api node/video/Kling",
description="Use a video and up to 4 reference images to generate a video with the latest Kling model.",
short_description="Generate video from a video and reference images.",
inputs=[
IO.Combo.Input("model_name", options=["kling-v3-omni", "kling-video-o1"]),
IO.String.Input(
@@ -1458,6 +1464,7 @@ class OmniProEditVideoNode(IO.ComfyNode):
display_name="Kling 3.0 Omni Edit Video",
category="api node/video/Kling",
description="Edit an existing video with the latest model from Kling.",
short_description=None,
inputs=[
IO.Combo.Input("model_name", options=["kling-v3-omni", "kling-video-o1"]),
IO.String.Input(
@@ -1565,6 +1572,7 @@ class OmniProImageNode(IO.ComfyNode):
display_name="Kling 3.0 Omni Image",
category="api node/image/Kling",
description="Create or edit images with the latest model from Kling.",
short_description=None,
inputs=[
IO.Combo.Input("model_name", options=["kling-v3-omni", "kling-image-o1"]),
IO.String.Input(
@@ -1693,6 +1701,7 @@ class KlingCameraControlT2VNode(IO.ComfyNode):
display_name="Kling Text to Video (Camera Control)",
category="api node/video/Kling",
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.",
short_description="Generate videos from text with camera movement controls.",
inputs=[
IO.String.Input("prompt", multiline=True, tooltip="Positive text prompt"),
IO.String.Input("negative_prompt", multiline=True, tooltip="Negative text prompt"),
@@ -1754,6 +1763,8 @@ class KlingImage2VideoNode(IO.ComfyNode):
node_id="KlingImage2VideoNode",
display_name="Kling Image(First Frame) to Video",
category="api node/video/Kling",
description="Generate a video from a first-frame image with configurable model, mode, aspect ratio, and duration settings.",
short_description="Generate video from a first-frame reference image.",
inputs=[
IO.Image.Input("start_frame", tooltip="The reference image used to generate the video."),
IO.String.Input("prompt", multiline=True, tooltip="Positive text prompt"),
@@ -1854,6 +1865,7 @@ class KlingCameraControlI2VNode(IO.ComfyNode):
display_name="Kling Image to Video (Camera Control)",
category="api node/video/Kling",
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.",
short_description="Generate videos from images with camera movement controls.",
inputs=[
IO.Image.Input(
"start_frame",
@@ -1925,6 +1937,7 @@ class KlingStartEndFrameNode(IO.ComfyNode):
display_name="Kling Start-End Frame to Video",
category="api node/video/Kling",
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.",
short_description="Generate video transitioning between start and end frame images.",
inputs=[
IO.Image.Input(
"start_frame",
@@ -2019,6 +2032,7 @@ class KlingVideoExtendNode(IO.ComfyNode):
display_name="Kling Video Extend",
category="api node/video/Kling",
description="Kling Video Extend Node. Extend videos made by other Kling nodes. The video_id is created by using other Kling Nodes.",
short_description="Extend videos generated by other Kling nodes.",
inputs=[
IO.String.Input(
"prompt",
@@ -2100,6 +2114,7 @@ class KlingDualCharacterVideoEffectNode(IO.ComfyNode):
display_name="Kling Dual Character Video Effects",
category="api node/video/Kling",
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.",
short_description="Apply dual-character video effects from two images.",
inputs=[
IO.Image.Input("image_left", tooltip="Left side image"),
IO.Image.Input("image_right", tooltip="Right side image"),
@@ -2190,6 +2205,7 @@ class KlingSingleImageVideoEffectNode(IO.ComfyNode):
display_name="Kling Video Effects",
category="api node/video/Kling",
description="Achieve different special effects when generating a video based on the effect_scene.",
short_description="Apply special video effects to a single image.",
inputs=[
IO.Image.Input(
"image",
@@ -2263,6 +2279,7 @@ class KlingLipSyncAudioToVideoNode(IO.ComfyNode):
display_name="Kling Lip Sync Video with Audio",
category="api node/video/Kling",
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.",
short_description="Sync video mouth movements to audio content.",
inputs=[
IO.Video.Input("video"),
IO.Audio.Input("audio"),
@@ -2314,6 +2331,7 @@ class KlingLipSyncTextToVideoNode(IO.ComfyNode):
display_name="Kling Lip Sync Video with Text",
category="api node/video/Kling",
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.",
short_description="Sync video mouth movements to a text prompt.",
inputs=[
IO.Video.Input("video"),
IO.String.Input(
@@ -2381,6 +2399,7 @@ class KlingVirtualTryOnNode(IO.ComfyNode):
display_name="Kling Virtual Try On",
category="api node/image/Kling",
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.",
short_description="Virtually try clothing onto a human image.",
inputs=[
IO.Image.Input("human_image"),
IO.Image.Input("cloth_image"),
@@ -2448,6 +2467,7 @@ class KlingImageGenerationNode(IO.ComfyNode):
display_name="Kling 3.0 Image",
category="api node/image/Kling",
description="Kling Image Generation Node. Generate an image from a text prompt with an optional reference image.",
short_description="Generate images from text with optional reference image.",
inputs=[
IO.String.Input("prompt", multiline=True, tooltip="Positive text prompt"),
IO.String.Input("negative_prompt", multiline=True, tooltip="Negative text prompt"),
@@ -2581,6 +2601,8 @@ class TextToVideoWithAudio(IO.ComfyNode):
node_id="KlingTextToVideoWithAudio",
display_name="Kling 2.6 Text to Video with Audio",
category="api node/video/Kling",
description="Generate a video with synchronized audio from a text prompt using the Kling v2-6 model.",
short_description="Generate video with audio from text using Kling v2-6.",
inputs=[
IO.Combo.Input("model_name", options=["kling-v2-6"]),
IO.String.Input("prompt", multiline=True, tooltip="Positive text prompt."),
@@ -2649,6 +2671,8 @@ class ImageToVideoWithAudio(IO.ComfyNode):
node_id="KlingImageToVideoWithAudio",
display_name="Kling 2.6 Image(First Frame) to Video with Audio",
category="api node/video/Kling",
description="Generate a video with synchronized audio from a first-frame image and text prompt using the Kling v2-6 model.",
short_description="Generate video with audio from an image using Kling v2-6.",
inputs=[
IO.Combo.Input("model_name", options=["kling-v2-6"]),
IO.Image.Input("start_frame"),
@@ -2719,6 +2743,8 @@ class MotionControl(IO.ComfyNode):
node_id="KlingMotionControl",
display_name="Kling Motion Control",
category="api node/video/Kling",
description="Drive character movement and expression in video using a reference image and motion reference video.",
short_description="Control video character motion using reference image and video.",
inputs=[
IO.String.Input("prompt", multiline=True),
IO.Image.Input("reference_image"),
@@ -2815,6 +2841,7 @@ class KlingVideoNode(IO.ComfyNode):
category="api node/video/Kling",
description="Generate videos with Kling V3. "
"Supports text-to-video and image-to-video with optional storyboard multi-prompt and audio generation.",
short_description="Generate videos with Kling V3 from text or images.",
inputs=[
IO.DynamicCombo.Input(
"multi_shot",

2
comfy_api_nodes/nodes_ltxv.py
View File

@@ -52,6 +52,7 @@ class TextToVideoNode(IO.ComfyNode):
display_name="LTXV Text To Video",
category="api node/video/LTXV",
description="Professional-quality videos with customizable duration and resolution.",
short_description=None,
inputs=[
IO.Combo.Input("model", options=list(MODELS_MAP.keys())),
IO.String.Input(
@@ -128,6 +129,7 @@ class ImageToVideoNode(IO.ComfyNode):
display_name="LTXV Image To Video",
category="api node/video/LTXV",
description="Professional-quality videos with customizable duration and resolution based on start image.",
short_description=None,
inputs=[
IO.Image.Input("image", tooltip="First frame to be used for the video."),
IO.Combo.Input("model", options=list(MODELS_MAP.keys())),

6
comfy_api_nodes/nodes_luma.py
View File

@@ -46,6 +46,7 @@ class LumaReferenceNode(IO.ComfyNode):
display_name="Luma Reference",
category="api node/image/Luma",
description="Holds an image and weight for use with Luma Generate Image node.",
short_description="Image and weight input for Luma generation.",
inputs=[
IO.Image.Input(
"image",
@@ -85,6 +86,7 @@ class LumaConceptsNode(IO.ComfyNode):
display_name="Luma Concepts",
category="api node/video/Luma",
description="Camera Concepts for use with Luma Text to Video and Luma Image to Video nodes.",
short_description="Camera concepts for Luma video generation nodes.",
inputs=[
IO.Combo.Input(
"concept1",
@@ -134,6 +136,7 @@ class LumaImageGenerationNode(IO.ComfyNode):
display_name="Luma Text to Image",
category="api node/image/Luma",
description="Generates images synchronously based on prompt and aspect ratio.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -278,6 +281,7 @@ class LumaImageModifyNode(IO.ComfyNode):
display_name="Luma Image to Image",
category="api node/image/Luma",
description="Modifies images synchronously based on prompt and aspect ratio.",
short_description=None,
inputs=[
IO.Image.Input(
"image",
@@ -371,6 +375,7 @@ class LumaTextToVideoGenerationNode(IO.ComfyNode):
display_name="Luma Text to Video",
category="api node/video/Luma",
description="Generates videos synchronously based on prompt and output_size.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -472,6 +477,7 @@ class LumaImageToVideoGenerationNode(IO.ComfyNode):
display_name="Luma Image to Video",
category="api node/video/Luma",
description="Generates videos synchronously based on prompt, input images, and output_size.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",

4
comfy_api_nodes/nodes_magnific.py
View File

@@ -242,6 +242,7 @@ class MagnificImageUpscalerPreciseV2Node(IO.ComfyNode):
category="api node/image/Magnific",
description="High-fidelity upscaling with fine control over sharpness, grain, and detail. "
"Maximum output: 10060×10060 pixels.",
short_description="High-fidelity upscaling with sharpness, grain, and detail control.",
inputs=[
IO.Image.Input("image"),
IO.Combo.Input("scale_factor", options=["2x", "4x", "8x", "16x"]),
@@ -401,6 +402,7 @@ class MagnificImageStyleTransferNode(IO.ComfyNode):
display_name="Magnific Image Style Transfer",
category="api node/image/Magnific",
description="Transfer the style from a reference image to your input image.",
short_description=None,
inputs=[
IO.Image.Input("image", tooltip="The image to apply style transfer to."),
IO.Image.Input("reference_image", tooltip="The reference image to extract style from."),
@@ -549,6 +551,7 @@ class MagnificImageRelightNode(IO.ComfyNode):
display_name="Magnific Image Relight",
category="api node/image/Magnific",
description="Relight an image with lighting adjustments and optional reference-based light transfer.",
short_description=None,
inputs=[
IO.Image.Input("image", tooltip="The image to relight."),
IO.String.Input(
@@ -787,6 +790,7 @@ class MagnificImageSkinEnhancerNode(IO.ComfyNode):
display_name="Magnific Image Skin Enhancer",
category="api node/image/Magnific",
description="Skin enhancement for portraits with multiple processing modes.",
short_description=None,
inputs=[
IO.Image.Input("image", tooltip="The portrait image to enhance."),
IO.Int.Input(

9
comfy_api_nodes/nodes_meshy.py
View File

@@ -34,6 +34,8 @@ class MeshyTextToModelNode(IO.ComfyNode):
node_id="MeshyTextToModelNode",
display_name="Meshy: Text to Model",
category="api node/3d/Meshy",
description="Generate a 3D model from a text prompt using the Meshy API.",
short_description="Generate a 3D model from a text prompt.",
inputs=[
IO.Combo.Input("model", options=["latest"]),
IO.String.Input("prompt", multiline=True, default=""),
@@ -146,6 +148,7 @@ class MeshyRefineNode(IO.ComfyNode):
display_name="Meshy: Refine Draft Model",
category="api node/3d/Meshy",
description="Refine a previously created draft model.",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["latest"]),
IO.Custom("MESHY_TASK_ID").Input("meshy_task_id"),
@@ -239,6 +242,8 @@ class MeshyImageToModelNode(IO.ComfyNode):
node_id="MeshyImageToModelNode",
display_name="Meshy: Image to Model",
category="api node/3d/Meshy",
description="Generate a 3D model from a single image using the Meshy API.",
short_description="Generate a 3D model from an image.",
inputs=[
IO.Combo.Input("model", options=["latest"]),
IO.Image.Input("image"),
@@ -403,6 +408,7 @@ class MeshyMultiImageToModelNode(IO.ComfyNode):
node_id="MeshyMultiImageToModelNode",
display_name="Meshy: Multi-Image to Model",
category="api node/3d/Meshy",
description="Generate a 3D model from multiple images using the Meshy API.",
inputs=[
IO.Combo.Input("model", options=["latest"]),
IO.Autogrow.Input(
@@ -575,6 +581,7 @@ class MeshyRigModelNode(IO.ComfyNode):
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.",
short_description="Rig a character model for animation.",
inputs=[
IO.Custom("MESHY_TASK_ID").Input("meshy_task_id"),
IO.Float.Input(
@@ -654,6 +661,7 @@ class MeshyAnimateModelNode(IO.ComfyNode):
display_name="Meshy: Animate Model",
category="api node/3d/Meshy",
description="Apply a specific animation action to a previously rigged character.",
short_description=None,
inputs=[
IO.Custom("MESHY_RIGGED_TASK_ID").Input("rig_task_id"),
IO.Int.Input(
@@ -719,6 +727,7 @@ class MeshyTextureNode(IO.ComfyNode):
node_id="MeshyTextureNode",
display_name="Meshy: Texture Model",
category="api node/3d/Meshy",
description="Apply textures to an existing 3D model using the Meshy API.",
inputs=[
IO.Combo.Input("model", options=["latest"]),
IO.Custom("MESHY_TASK_ID").Input("meshy_task_id"),

4
comfy_api_nodes/nodes_minimax.py
View File

@@ -103,6 +103,7 @@ class MinimaxTextToVideoNode(IO.ComfyNode):
display_name="MiniMax Text to Video",
category="api node/video/MiniMax",
description="Generates videos synchronously based on a prompt, and optional parameters.",
short_description=None,
inputs=[
IO.String.Input(
"prompt_text",
@@ -165,6 +166,7 @@ class MinimaxImageToVideoNode(IO.ComfyNode):
display_name="MiniMax Image to Video",
category="api node/video/MiniMax",
description="Generates videos synchronously based on an image and prompt, and optional parameters.",
short_description="Generate videos from an image, prompt, and optional parameters.",
inputs=[
IO.Image.Input(
"image",
@@ -232,6 +234,7 @@ class MinimaxSubjectToVideoNode(IO.ComfyNode):
display_name="MiniMax Subject to Video",
category="api node/video/MiniMax",
description="Generates videos synchronously based on an image and prompt, and optional parameters.",
short_description="Subject-driven video generation from image and prompt.",
inputs=[
IO.Image.Input(
"subject",
@@ -296,6 +299,7 @@ class MinimaxHailuoVideoNode(IO.ComfyNode):
display_name="MiniMax Hailuo Video",
category="api node/video/MiniMax",
description="Generates videos from prompt, with optional start frame using the new MiniMax Hailuo-02 model.",
short_description="Generate videos with optional start frame using Hailuo-02.",
inputs=[
IO.String.Input(
"prompt_text",

7
comfy_api_nodes/nodes_moonvalley.py
View File

@@ -166,6 +166,7 @@ class MoonvalleyImg2VideoNode(IO.ComfyNode):
display_name="Moonvalley Marey Image to Video",
category="api node/video/Moonvalley Marey",
description="Moonvalley Marey Image to Video Node",
short_description=None,
inputs=[
IO.Image.Input(
"image",
@@ -290,7 +291,8 @@ class MoonvalleyVideo2VideoNode(IO.ComfyNode):
node_id="MoonvalleyVideo2VideoNode",
display_name="Moonvalley Marey Video to Video",
category="api node/video/Moonvalley Marey",
description="",
description="Transform an input video into a new video using a text prompt and motion or pose control.",
short_description="Transform video using text prompt with motion or pose control.",
inputs=[
IO.String.Input(
"prompt",
@@ -415,7 +417,8 @@ class MoonvalleyTxt2VideoNode(IO.ComfyNode):
node_id="MoonvalleyTxt2VideoNode",
display_name="Moonvalley Marey Text to Video",
category="api node/video/Moonvalley Marey",
description="",
description="Generate a video from a text prompt using the Moonvalley Marey model.",
short_description="Generate video from a text prompt using Moonvalley Marey.",
inputs=[
IO.String.Input(
"prompt",

6
comfy_api_nodes/nodes_openai.py
View File

@@ -98,6 +98,7 @@ class OpenAIDalle2(IO.ComfyNode):
display_name="OpenAI DALL·E 2",
category="api node/image/OpenAI",
description="Generates images synchronously via OpenAI's DALL·E 2 endpoint.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -248,6 +249,7 @@ class OpenAIDalle3(IO.ComfyNode):
display_name="OpenAI DALL·E 3",
category="api node/image/OpenAI",
description="Generates images synchronously via OpenAI's DALL·E 3 endpoint.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -366,6 +368,7 @@ class OpenAIGPTImage1(IO.ComfyNode):
display_name="OpenAI GPT Image 1.5",
category="api node/image/OpenAI",
description="Generates images synchronously via OpenAI's GPT Image endpoint.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -576,6 +579,7 @@ class OpenAIChatNode(IO.ComfyNode):
display_name="OpenAI ChatGPT",
category="api node/text/OpenAI",
description="Generate text responses from an OpenAI model.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -803,6 +807,7 @@ class OpenAIInputFiles(IO.ComfyNode):
display_name="OpenAI ChatGPT Input Files",
category="api node/text/OpenAI",
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. 🛈 TIP: Can be chained together with other OpenAI Input File nodes.",
short_description="Load and prepare input files for OpenAI Chat.",
inputs=[
IO.Combo.Input(
"file",
@@ -850,6 +855,7 @@ class OpenAIChatConfig(IO.ComfyNode):
display_name="OpenAI ChatGPT Advanced Options",
category="api node/text/OpenAI",
description="Allows specifying advanced configuration options for the OpenAI Chat Nodes.",
short_description=None,
inputs=[
IO.Combo.Input(
"truncation",

5
comfy_api_nodes/nodes_pixverse.py
View File

@@ -54,6 +54,8 @@ class PixverseTemplateNode(IO.ComfyNode):
node_id="PixverseTemplateNode",
display_name="PixVerse Template",
category="api node/video/PixVerse",
description="Select a style template for PixVerse video generation.",
short_description=None,
inputs=[
IO.Combo.Input("template", options=list(pixverse_templates.keys())),
],
@@ -76,6 +78,7 @@ class PixverseTextToVideoNode(IO.ComfyNode):
display_name="PixVerse Text to Video",
category="api node/video/PixVerse",
description="Generates videos based on prompt and output_size.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -194,6 +197,7 @@ class PixverseImageToVideoNode(IO.ComfyNode):
display_name="PixVerse Image to Video",
category="api node/video/PixVerse",
description="Generates videos based on prompt and output_size.",
short_description=None,
inputs=[
IO.Image.Input("image"),
IO.String.Input(
@@ -312,6 +316,7 @@ class PixverseTransitionVideoNode(IO.ComfyNode):
display_name="PixVerse Transition Video",
category="api node/video/PixVerse",
description="Generates videos based on prompt and output_size.",
short_description=None,
inputs=[
IO.Image.Input("first_frame"),
IO.Image.Input("last_frame"),

29
comfy_api_nodes/nodes_recraft.py
View File

@@ -180,6 +180,7 @@ class RecraftColorRGBNode(IO.ComfyNode):
display_name="Recraft Color RGB",
category="api node/image/Recraft",
description="Create Recraft Color by choosing specific RGB values.",
short_description=None,
inputs=[
IO.Int.Input("r", default=0, min=0, max=255, tooltip="Red value of color."),
IO.Int.Input("g", default=0, min=0, max=255, tooltip="Green value of color."),
@@ -206,6 +207,7 @@ class RecraftControlsNode(IO.ComfyNode):
display_name="Recraft Controls",
category="api node/image/Recraft",
description="Create Recraft Controls for customizing Recraft generation.",
short_description=None,
inputs=[
IO.Custom(RecraftIO.COLOR).Input("colors", optional=True),
IO.Custom(RecraftIO.COLOR).Input("background_color", optional=True),
@@ -230,6 +232,7 @@ class RecraftStyleV3RealisticImageNode(IO.ComfyNode):
display_name="Recraft Style - Realistic Image",
category="api node/image/Recraft",
description="Select realistic_image style and optional substyle.",
short_description=None,
inputs=[
IO.Combo.Input("substyle", options=get_v3_substyles(cls.RECRAFT_STYLE)),
],
@@ -254,7 +257,8 @@ class RecraftStyleV3DigitalIllustrationNode(RecraftStyleV3RealisticImageNode):
node_id="RecraftStyleV3DigitalIllustration",
display_name="Recraft Style - Digital Illustration",
category="api node/image/Recraft",
description="Select realistic_image style and optional substyle.",
description="Select digital_illustration style and optional substyle.",
short_description=None,
inputs=[
IO.Combo.Input("substyle", options=get_v3_substyles(cls.RECRAFT_STYLE)),
],
@@ -271,9 +275,10 @@ class RecraftStyleV3VectorIllustrationNode(RecraftStyleV3RealisticImageNode):
def define_schema(cls):
return IO.Schema(
node_id="RecraftStyleV3VectorIllustrationNode",
display_name="Recraft Style - Realistic Image",
display_name="Recraft Style - Vector Illustration",
category="api node/image/Recraft",
description="Select realistic_image style and optional substyle.",
description="Select vector_illustration style and optional substyle.",
short_description=None,
inputs=[
IO.Combo.Input("substyle", options=get_v3_substyles(cls.RECRAFT_STYLE)),
],
@@ -292,7 +297,8 @@ class RecraftStyleV3LogoRasterNode(RecraftStyleV3RealisticImageNode):
node_id="RecraftStyleV3LogoRaster",
display_name="Recraft Style - Logo Raster",
category="api node/image/Recraft",
description="Select realistic_image style and optional substyle.",
description="Select logo_raster style and optional substyle.",
short_description=None,
inputs=[
IO.Combo.Input("substyle", options=get_v3_substyles(cls.RECRAFT_STYLE, include_none=False)),
],
@@ -310,6 +316,7 @@ class RecraftStyleInfiniteStyleLibrary(IO.ComfyNode):
display_name="Recraft Style - Infinite Style Library",
category="api node/image/Recraft",
description="Select style based on preexisting UUID from Recraft's Infinite Style Library.",
short_description=None,
inputs=[
IO.String.Input("style_id", default="", tooltip="UUID of style from Infinite Style Library."),
],
@@ -335,6 +342,7 @@ class RecraftCreateStyleNode(IO.ComfyNode):
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.",
short_description="Create a custom style from 1-5 reference images.",
inputs=[
IO.Combo.Input(
"style",
@@ -402,6 +410,7 @@ class RecraftTextToImageNode(IO.ComfyNode):
display_name="Recraft Text to Image",
category="api node/image/Recraft",
description="Generates images synchronously based on prompt and resolution.",
short_description=None,
inputs=[
IO.String.Input("prompt", multiline=True, default="", tooltip="Prompt for the image generation."),
IO.Combo.Input(
@@ -514,6 +523,7 @@ class RecraftImageToImageNode(IO.ComfyNode):
display_name="Recraft Image to Image",
category="api node/image/Recraft",
description="Modify image based on prompt and strength.",
short_description=None,
inputs=[
IO.Image.Input("image"),
IO.String.Input("prompt", multiline=True, default="", tooltip="Prompt for the image generation."),
@@ -632,6 +642,7 @@ class RecraftImageInpaintingNode(IO.ComfyNode):
display_name="Recraft Image Inpainting",
category="api node/image/Recraft",
description="Modify image based on prompt and mask.",
short_description=None,
inputs=[
IO.Image.Input("image"),
IO.Mask.Input("mask"),
@@ -734,6 +745,7 @@ class RecraftTextToVectorNode(IO.ComfyNode):
display_name="Recraft Text to Vector",
category="api node/image/Recraft",
description="Generates SVG synchronously based on prompt and resolution.",
short_description=None,
inputs=[
IO.String.Input("prompt", default="", tooltip="Prompt for the image generation.", multiline=True),
IO.Combo.Input("substyle", options=get_v3_substyles(RecraftStyleV3.vector_illustration)),
@@ -834,6 +846,7 @@ class RecraftVectorizeImageNode(IO.ComfyNode):
display_name="Recraft Vectorize Image",
category="api node/image/Recraft",
description="Generates SVG synchronously from an input image.",
short_description=None,
inputs=[
IO.Image.Input("image"),
],
@@ -877,6 +890,7 @@ class RecraftReplaceBackgroundNode(IO.ComfyNode):
display_name="Recraft Replace Background",
category="api node/image/Recraft",
description="Replace background on image, based on provided prompt.",
short_description=None,
inputs=[
IO.Image.Input("image"),
IO.String.Input("prompt", tooltip="Prompt for the image generation.", default="", multiline=True),
@@ -964,6 +978,7 @@ class RecraftRemoveBackgroundNode(IO.ComfyNode):
display_name="Recraft Remove Background",
category="api node/image/Recraft",
description="Remove background from image, and return processed image and mask.",
short_description=None,
inputs=[
IO.Image.Input("image"),
],
@@ -1012,8 +1027,9 @@ class RecraftCrispUpscaleNode(IO.ComfyNode):
display_name="Recraft Crisp Upscale Image",
category="api node/image/Recraft",
description="Upscale image synchronously.\n"
"Enhances a given raster image using ‘crisp upscale’ tool, "
"Enhances a given raster image using 'crisp upscale' tool, "
"increasing image resolution, making the image sharper and cleaner.",
short_description="Crisp upscale to sharpen and increase image resolution.",
inputs=[
IO.Image.Input("image"),
],
@@ -1058,8 +1074,9 @@ class RecraftCreativeUpscaleNode(RecraftCrispUpscaleNode):
display_name="Recraft Creative Upscale Image",
category="api node/image/Recraft",
description="Upscale image synchronously.\n"
"Enhances a given raster image using ‘creative upscale’ tool, "
"Enhances a given raster image using 'creative upscale' tool, "
"boosting resolution with a focus on refining small details and faces.",
short_description="Creative upscale focusing on small details and faces.",
inputs=[
IO.Image.Input("image"),
],

5
comfy_api_nodes/nodes_rodin.py
View File

@@ -238,6 +238,7 @@ class Rodin3D_Regular(IO.ComfyNode):
display_name="Rodin 3D Generate - Regular Generate",
category="api node/3d/Rodin",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.Image.Input("Images"),
*COMMON_PARAMETERS,
@@ -297,6 +298,7 @@ class Rodin3D_Detail(IO.ComfyNode):
display_name="Rodin 3D Generate - Detail Generate",
category="api node/3d/Rodin",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.Image.Input("Images"),
*COMMON_PARAMETERS,
@@ -356,6 +358,7 @@ class Rodin3D_Smooth(IO.ComfyNode):
display_name="Rodin 3D Generate - Smooth Generate",
category="api node/3d/Rodin",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.Image.Input("Images"),
*COMMON_PARAMETERS,
@@ -414,6 +417,7 @@ class Rodin3D_Sketch(IO.ComfyNode):
display_name="Rodin 3D Generate - Sketch Generate",
category="api node/3d/Rodin",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.Image.Input("Images"),
IO.Int.Input(
@@ -476,6 +480,7 @@ class Rodin3D_Gen2(IO.ComfyNode):
display_name="Rodin 3D Generate - Gen-2 Generate",
category="api node/3d/Rodin",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.Image.Input("Images"),
IO.Int.Input(

4
comfy_api_nodes/nodes_runway.py
View File

@@ -145,6 +145,7 @@ class RunwayImageToVideoNodeGen3a(IO.ComfyNode):
"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.",
short_description="Generate video from a starting frame using Gen3a Turbo.",
inputs=[
IO.String.Input(
"prompt",
@@ -239,6 +240,7 @@ class RunwayImageToVideoNodeGen4(IO.ComfyNode):
"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.",
short_description="Generate video from a starting frame using Gen4 Turbo.",
inputs=[
IO.String.Input(
"prompt",
@@ -337,6 +339,7 @@ class RunwayFirstLastFrameNode(IO.ComfyNode):
"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.",
short_description="Generate video from first and last keyframes with a prompt.",
inputs=[
IO.String.Input(
"prompt",
@@ -443,6 +446,7 @@ class RunwayTextToImageNode(IO.ComfyNode):
category="api node/image/Runway",
description="Generate an image from a text prompt using Runway's Gen 4 model. "
"You can also include reference image to guide the generation.",
short_description="Generate an image from text using Runway Gen 4.",
inputs=[
IO.String.Input(
"prompt",

1
comfy_api_nodes/nodes_sora.py
View File

@@ -36,6 +36,7 @@ class OpenAIVideoSora2(IO.ComfyNode):
display_name="OpenAI Sora - Video",
category="api node/video/Sora",
description="OpenAI video and audio generation.",
short_description=None,
inputs=[
IO.Combo.Input(
"model",

8
comfy_api_nodes/nodes_stability.py
View File

@@ -64,6 +64,7 @@ class StabilityStableImageUltraNode(IO.ComfyNode):
display_name="Stability AI Stable Image Ultra",
category="api node/image/Stability AI",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -197,6 +198,7 @@ class StabilityStableImageSD_3_5Node(IO.ComfyNode):
display_name="Stability AI Stable Diffusion 3.5 Image",
category="api node/image/Stability AI",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -352,6 +354,7 @@ class StabilityUpscaleConservativeNode(IO.ComfyNode):
display_name="Stability AI Upscale Conservative",
category="api node/image/Stability AI",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.Image.Input("image"),
IO.String.Input(
@@ -454,6 +457,7 @@ class StabilityUpscaleCreativeNode(IO.ComfyNode):
display_name="Stability AI Upscale Creative",
category="api node/image/Stability AI",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.Image.Input("image"),
IO.String.Input(
@@ -573,6 +577,7 @@ class StabilityUpscaleFastNode(IO.ComfyNode):
display_name="Stability AI Upscale Fast",
category="api node/image/Stability AI",
description=cleandoc(cls.__doc__ or ""),
short_description="Quickly upscale an image to 4x its original size.",
inputs=[
IO.Image.Input("image"),
],
@@ -625,6 +630,7 @@ class StabilityTextToAudio(IO.ComfyNode):
display_name="Stability AI Text To Audio",
category="api node/audio/Stability AI",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.Combo.Input(
"model",
@@ -701,6 +707,7 @@ class StabilityAudioToAudio(IO.ComfyNode):
display_name="Stability AI Audio To Audio",
category="api node/audio/Stability AI",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.Combo.Input(
"model",
@@ -794,6 +801,7 @@ class StabilityAudioInpaint(IO.ComfyNode):
display_name="Stability AI Audio Inpaint",
category="api node/audio/Stability AI",
description=cleandoc(cls.__doc__ or ""),
short_description=None,
inputs=[
IO.Combo.Input(
"model",

2
comfy_api_nodes/nodes_topaz.py
View File

@@ -49,6 +49,7 @@ class TopazImageEnhance(IO.ComfyNode):
display_name="Topaz Image Enhance",
category="api node/image/Topaz",
description="Industry-standard upscaling and image enhancement.",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["Reimagine"]),
IO.Image.Input("image"),
@@ -223,6 +224,7 @@ class TopazVideoEnhance(IO.ComfyNode):
display_name="Topaz Video Enhance",
category="api node/video/Topaz",
description="Breathe new life into video with powerful upscaling and recovery technology.",
short_description=None,
inputs=[
IO.Video.Input("video"),
IO.Boolean.Input("upscaler_enabled", default=True),

11
comfy_api_nodes/nodes_tripo.py
View File

@@ -80,6 +80,7 @@ class TripoTextToModelNode(IO.ComfyNode):
node_id="TripoTextToModelNode",
display_name="Tripo: Text to Model",
category="api node/3d/Tripo",
description="Generate a 3D model from a text prompt using Tripo's API.",
inputs=[
IO.String.Input("prompt", multiline=True),
IO.String.Input("negative_prompt", multiline=True, optional=True),
@@ -199,6 +200,7 @@ class TripoImageToModelNode(IO.ComfyNode):
node_id="TripoImageToModelNode",
display_name="Tripo: Image to Model",
category="api node/3d/Tripo",
description="Generate a 3D model from a single image using Tripo's API.",
inputs=[
IO.Image.Input("image"),
IO.Combo.Input(
@@ -331,6 +333,7 @@ class TripoMultiviewToModelNode(IO.ComfyNode):
node_id="TripoMultiviewToModelNode",
display_name="Tripo: Multiview to Model",
category="api node/3d/Tripo",
description="Generate a 3D model from multiple view images using Tripo's API.",
inputs=[
IO.Image.Input("image"),
IO.Image.Input("image_left", optional=True),
@@ -470,6 +473,7 @@ class TripoTextureNode(IO.ComfyNode):
node_id="TripoTextureNode",
display_name="Tripo: Texture model",
category="api node/3d/Tripo",
description="Apply textures to an existing 3D model using Tripo's API.",
inputs=[
IO.Custom("MODEL_TASK_ID").Input("model_task_id"),
IO.Boolean.Input("texture", default=True, optional=True),
@@ -538,6 +542,7 @@ class TripoRefineNode(IO.ComfyNode):
display_name="Tripo: Refine Draft model",
category="api node/3d/Tripo",
description="Refine a draft model created by v1.4 Tripo models only.",
short_description=None,
inputs=[
IO.Custom("MODEL_TASK_ID").Input("model_task_id", tooltip="Must be a v1.4 Tripo model"),
],
@@ -577,6 +582,8 @@ class TripoRigNode(IO.ComfyNode):
node_id="TripoRigNode",
display_name="Tripo: Rig model",
category="api node/3d/Tripo",
description="Add a skeleton rig to an existing 3D model using Tripo's API.",
short_description="Add a skeleton rig to a 3D model.",
inputs=[IO.Custom("MODEL_TASK_ID").Input("original_model_task_id")],
outputs=[
IO.String.Output(display_name="model_file"), # for backward compatibility only
@@ -614,6 +621,8 @@ class TripoRetargetNode(IO.ComfyNode):
node_id="TripoRetargetNode",
display_name="Tripo: Retarget rigged model",
category="api node/3d/Tripo",
description="Apply a preset animation to a rigged 3D model using Tripo's API.",
short_description="Apply a preset animation to a rigged model.",
inputs=[
IO.Custom("RIG_TASK_ID").Input("original_model_task_id"),
IO.Combo.Input(
@@ -679,6 +688,8 @@ class TripoConversionNode(IO.ComfyNode):
node_id="TripoConversionNode",
display_name="Tripo: Convert model",
category="api node/3d/Tripo",
description="Convert a 3D model to different formats with optional post-processing using Tripo's API.",
short_description="Convert a 3D model to different formats.",
inputs=[
IO.Custom("MODEL_TASK_ID,RIG_TASK_ID,RETARGET_TASK_ID").Input("original_model_task_id"),
IO.Combo.Input("format", options=["GLTF", "USDZ", "FBX", "OBJ", "STL", "3MF"]),

3
comfy_api_nodes/nodes_veo2.py
View File

@@ -46,6 +46,7 @@ class VeoVideoGenerationNode(IO.ComfyNode):
display_name="Google Veo 2 Video Generation",
category="api node/video/Veo",
description="Generates videos from text prompts using Google's Veo 2 API",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -264,6 +265,7 @@ class Veo3VideoGenerationNode(VeoVideoGenerationNode):
display_name="Google Veo 3 Video Generation",
category="api node/video/Veo",
description="Generates videos from text prompts using Google's Veo 3 API",
short_description=None,
inputs=[
IO.String.Input(
"prompt",
@@ -377,6 +379,7 @@ class Veo3FirstLastFrameNode(IO.ComfyNode):
display_name="Google Veo 3 First-Last-Frame to Video",
category="api node/video/Veo",
description="Generate video using prompt and first and last frames.",
short_description=None,
inputs=[
IO.String.Input(
"prompt",

12
comfy_api_nodes/nodes_vidu.py
View File

@@ -72,6 +72,7 @@ class ViduTextToVideoNode(IO.ComfyNode):
display_name="Vidu Text To Video Generation",
category="api node/video/Vidu",
description="Generate video from a text prompt",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["viduq1"], tooltip="Model name"),
IO.String.Input(
@@ -168,6 +169,7 @@ class ViduImageToVideoNode(IO.ComfyNode):
display_name="Vidu Image To Video Generation",
category="api node/video/Vidu",
description="Generate video from image and optional prompt",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["viduq1"], tooltip="Model name"),
IO.Image.Input(
@@ -270,6 +272,7 @@ class ViduReferenceVideoNode(IO.ComfyNode):
display_name="Vidu Reference To Video Generation",
category="api node/video/Vidu",
description="Generate video from multiple images and a prompt",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["viduq1"], tooltip="Model name"),
IO.Image.Input(
@@ -383,6 +386,7 @@ class ViduStartEndToVideoNode(IO.ComfyNode):
display_name="Vidu Start End To Video Generation",
category="api node/video/Vidu",
description="Generate a video from start and end frames and a prompt",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["viduq1"], tooltip="Model name"),
IO.Image.Input(
@@ -485,6 +489,7 @@ class Vidu2TextToVideoNode(IO.ComfyNode):
display_name="Vidu2 Text-to-Video Generation",
category="api node/video/Vidu",
description="Generate video from a text prompt",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["viduq2"]),
IO.String.Input(
@@ -576,6 +581,7 @@ class Vidu2ImageToVideoNode(IO.ComfyNode):
display_name="Vidu2 Image-to-Video Generation",
category="api node/video/Vidu",
description="Generate a video from an image and an optional prompt.",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["viduq2-pro-fast", "viduq2-pro", "viduq2-turbo"]),
IO.Image.Input(
@@ -704,6 +710,7 @@ class Vidu2ReferenceVideoNode(IO.ComfyNode):
display_name="Vidu2 Reference-to-Video Generation",
category="api node/video/Vidu",
description="Generate a video from multiple reference images and a prompt.",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["viduq2"]),
IO.Autogrow.Input(
@@ -837,6 +844,7 @@ class Vidu2StartEndToVideoNode(IO.ComfyNode):
display_name="Vidu2 Start/End Frame-to-Video Generation",
category="api node/video/Vidu",
description="Generate a video from a start frame, an end frame, and a prompt.",
short_description="Generate video from start frame, end frame, and prompt.",
inputs=[
IO.Combo.Input("model", options=["viduq2-pro-fast", "viduq2-pro", "viduq2-turbo"]),
IO.Image.Input("first_frame"),
@@ -956,6 +964,7 @@ class ViduExtendVideoNode(IO.ComfyNode):
display_name="Vidu Video Extension",
category="api node/video/Vidu",
description="Extend an existing video by generating additional frames.",
short_description=None,
inputs=[
IO.DynamicCombo.Input(
"model",
@@ -1126,6 +1135,7 @@ class ViduMultiFrameVideoNode(IO.ComfyNode):
display_name="Vidu Multi-Frame Video Generation",
category="api node/video/Vidu",
description="Generate a video with multiple keyframe transitions.",
short_description=None,
inputs=[
IO.Combo.Input("model", options=["viduq2-pro", "viduq2-turbo"]),
IO.Image.Input(
@@ -1272,6 +1282,7 @@ class Vidu3TextToVideoNode(IO.ComfyNode):
display_name="Vidu Q3 Text-to-Video Generation",
category="api node/video/Vidu",
description="Generate video from a text prompt.",
short_description=None,
inputs=[
IO.DynamicCombo.Input(
"model",
@@ -1380,6 +1391,7 @@ class Vidu3ImageToVideoNode(IO.ComfyNode):
display_name="Vidu Q3 Image-to-Video Generation",
category="api node/video/Vidu",
description="Generate a video from an image and an optional prompt.",
short_description=None,
inputs=[
IO.DynamicCombo.Input(
"model",

5
comfy_api_nodes/nodes_wan.py
View File

@@ -175,6 +175,7 @@ class WanTextToImageApi(IO.ComfyNode):
display_name="Wan Text to Image",
category="api node/image/Wan",
description="Generates an image based on a text prompt.",
short_description=None,
inputs=[
IO.Combo.Input(
"model",
@@ -298,6 +299,7 @@ class WanImageToImageApi(IO.ComfyNode):
category="api node/image/Wan",
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).",
short_description="Generate an image from input images and a text prompt.",
inputs=[
IO.Combo.Input(
"model",
@@ -424,6 +426,7 @@ class WanTextToVideoApi(IO.ComfyNode):
display_name="Wan Text to Video",
category="api node/video/Wan",
description="Generates a video based on a text prompt.",
short_description=None,
inputs=[
IO.Combo.Input(
"model",
@@ -603,6 +606,7 @@ class WanImageToVideoApi(IO.ComfyNode):
display_name="Wan Image to Video",
category="api node/video/Wan",
description="Generates a video from the first frame and a text prompt.",
short_description=None,
inputs=[
IO.Combo.Input(
"model",
@@ -779,6 +783,7 @@ class WanReferenceVideoApi(IO.ComfyNode):
category="api node/video/Wan",
description="Use the character and voice from input videos, combined with a prompt, "
"to generate a new video that maintains character consistency.",
short_description="Generate character-consistent video from reference videos and prompt.",
inputs=[
IO.Combo.Input("model", options=["wan2.6-r2v"]),
IO.String.Input(

2
comfy_api_nodes/nodes_wavespeed.py
View File

@@ -30,6 +30,7 @@ class WavespeedFlashVSRNode(IO.ComfyNode):
category="api node/video/WaveSpeed",
description="Fast, high-quality video upscaler that "
"boosts resolution and restores clarity for low-resolution or blurry footage.",
short_description="Fast video upscaler that boosts resolution and restores clarity.",
inputs=[
IO.Video.Input("video"),
IO.Combo.Input("target_resolution", options=["720p", "1080p", "2K", "4K"]),
@@ -101,6 +102,7 @@ class WavespeedImageUpscaleNode(IO.ComfyNode):
display_name="WaveSpeed Image Upscale",
category="api node/image/WaveSpeed",
description="Boost image resolution and quality, upscaling photos to 4K or 8K for sharp, detailed results.",
short_description="Upscale images to 4K or 8K with enhanced quality.",
inputs=[
IO.Combo.Input("model", options=["SeedVR2", "Ultimate"]),
IO.Image.Input("image"),