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chore: Update nodes categories (#14145)
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Browse Source 
* Move dataset/text nodes to text category

* Rename category utils into utilities

* Rename category api node into partner

* Move categories conditioning, latent, sampling, model_patches, training, etc. under model category

* Dispatch partner nodes in to 3d, audio, image, text, video categories

* Move PreviewAny node to utilities category
This commit is contained in:
Alexis Rolland 2026-05-27 17:43:33 -07:00 committed by GitHub
parent 85a403d1ea
commit 174208df6b
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104 changed files with 466 additions and 466 deletions
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2
comfy_api_nodes/nodes_anthropic.py
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@ -155,7 +155,7 @@ class ClaudeNode(IO.ComfyNode):
return IO.Schema(
node_id="ClaudeNode",
display_name="Anthropic Claude",
category="api node/text/Anthropic",
category="text/partner/Anthropic",
essentials_category="Text Generation",
description="Generate text responses with Anthropic's Claude models. "
"Provide a text prompt and optionally one or more images for multimodal context.",

12
comfy_api_nodes/nodes_bfl.py
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@ -42,7 +42,7 @@ class FluxProUltraImageNode(IO.ComfyNode):
return IO.Schema(
node_id="FluxProUltraImageNode",
display_name="Flux 1.1 [pro] Ultra Image",
category="api node/image/BFL",
category="image/partner/BFL",
description="Generates images using Flux Pro 1.1 Ultra via api based on prompt and resolution.",
inputs=[
IO.String.Input(
@ -160,7 +160,7 @@ class FluxKontextProImageNode(IO.ComfyNode):
return IO.Schema(
node_id=cls.NODE_ID,
display_name=cls.DISPLAY_NAME,
category="api node/image/BFL",
category="image/partner/BFL",
description="Edits images using Flux.1 Kontext [pro] via api based on prompt and aspect ratio.",
inputs=[
IO.String.Input(
@ -282,7 +282,7 @@ class FluxProExpandNode(IO.ComfyNode):
return IO.Schema(
node_id="FluxProExpandNode",
display_name="Flux.1 Expand Image",
category="api node/image/BFL",
category="image/partner/BFL",
description="Outpaints image based on prompt.",
inputs=[
IO.Image.Input("image"),
@ -419,7 +419,7 @@ class FluxProFillNode(IO.ComfyNode):
return IO.Schema(
node_id="FluxProFillNode",
display_name="Flux.1 Fill Image",
category="api node/image/BFL",
category="image/partner/BFL",
description="Inpaints image based on mask and prompt.",
inputs=[
IO.Image.Input("image"),
@ -545,7 +545,7 @@ class Flux2ProImageNode(IO.ComfyNode):
return IO.Schema(
node_id=cls.NODE_ID,
display_name=cls.DISPLAY_NAME,
category="api node/image/BFL",
category="image/partner/BFL",
description="Generates images synchronously based on prompt and resolution.",
inputs=[
IO.String.Input(
@ -716,7 +716,7 @@ class Flux2ImageNode(IO.ComfyNode):
return IO.Schema(
node_id="Flux2ImageNode",
display_name="Flux.2 Image",
category="api node/image/BFL",
category="image/partner/BFL",
description="Generate images via Flux.2 [pro] or Flux.2 [max] from a prompt and optional reference images.",
inputs=[
IO.String.Input(

6
comfy_api_nodes/nodes_bria.py
View File

@ -31,7 +31,7 @@ class BriaImageEditNode(IO.ComfyNode):
return IO.Schema(
node_id="BriaImageEditNode",
display_name="Bria FIBO Image Edit",
category="api node/image/Bria",
category="image/partner/Bria",
description="Edit images using Bria latest model",
inputs=[
IO.Combo.Input("model", options=["FIBO"]),
@ -169,7 +169,7 @@ class BriaRemoveImageBackground(IO.ComfyNode):
return IO.Schema(
node_id="BriaRemoveImageBackground",
display_name="Bria Remove Image Background",
category="api node/image/Bria",
category="image/partner/Bria",
description="Remove the background from an image using Bria RMBG 2.0.",
inputs=[
IO.Image.Input("image"),
@ -245,7 +245,7 @@ class BriaRemoveVideoBackground(IO.ComfyNode):
return IO.Schema(
node_id="BriaRemoveVideoBackground",
display_name="Bria Remove Video Background",
category="api node/video/Bria",
category="video/partner/Bria",
description="Remove the background from a video using Bria. ",
inputs=[
IO.Video.Input("video"),

24
comfy_api_nodes/nodes_bytedance.py
View File

@ -359,7 +359,7 @@ class ByteDanceImageNode(IO.ComfyNode):
return IO.Schema(
node_id="ByteDanceImageNode",
display_name="ByteDance Image",
category="api node/image/ByteDance",
category="image/partner/ByteDance",
description="Generate images using ByteDance models via api based on prompt",
inputs=[
IO.Combo.Input("model", options=["seedream-3-0-t2i-250415"]),
@ -483,7 +483,7 @@ class ByteDanceSeedreamNode(IO.ComfyNode):
return IO.Schema(
node_id="ByteDanceSeedreamNode",
display_name="ByteDance Seedream 4.5 & 5.0",
category="api node/image/ByteDance",
category="image/partner/ByteDance",
description="Unified text-to-image generation and precise single-sentence editing at up to 4K resolution.",
inputs=[
IO.Combo.Input(
@ -745,7 +745,7 @@ class ByteDanceSeedreamNodeV2(IO.ComfyNode):
return IO.Schema(
node_id="ByteDanceSeedreamNodeV2",
display_name="ByteDance Seedream 4.5 & 5.0",
category="api node/image/ByteDance",
category="image/partner/ByteDance",
description="Unified text-to-image generation and precise single-sentence editing at up to 4K resolution.",
inputs=[
IO.String.Input(
@ -911,7 +911,7 @@ class ByteDanceTextToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="ByteDanceTextToVideoNode",
display_name="ByteDance Text to Video",
category="api node/video/ByteDance",
category="video/partner/ByteDance",
description="Generate video using ByteDance models via api based on prompt",
inputs=[
IO.Combo.Input(
@ -1039,7 +1039,7 @@ class ByteDanceImageToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="ByteDanceImageToVideoNode",
display_name="ByteDance Image to Video",
category="api node/video/ByteDance",
category="video/partner/ByteDance",
description="Generate video using ByteDance models via api based on image and prompt",
inputs=[
IO.Combo.Input(
@ -1176,7 +1176,7 @@ class ByteDanceFirstLastFrameNode(IO.ComfyNode):
return IO.Schema(
node_id="ByteDanceFirstLastFrameNode",
display_name="ByteDance First-Last-Frame to Video",
category="api node/video/ByteDance",
category="video/partner/ByteDance",
description="Generate video using prompt and first and last frames.",
inputs=[
IO.Combo.Input(
@ -1324,7 +1324,7 @@ class ByteDanceImageReferenceNode(IO.ComfyNode):
return IO.Schema(
node_id="ByteDanceImageReferenceNode",
display_name="ByteDance Reference Images to Video",
category="api node/video/ByteDance",
category="video/partner/ByteDance",
description="Generate video using prompt and reference images.",
inputs=[
IO.Combo.Input(
@ -1567,7 +1567,7 @@ class ByteDance2TextToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="ByteDance2TextToVideoNode",
display_name="ByteDance Seedance 2.0 Text to Video",
category="api node/video/ByteDance",
category="video/partner/ByteDance",
description="Generate video using Seedance 2.0 models based on a text prompt.",
inputs=[
IO.DynamicCombo.Input(
@ -1668,7 +1668,7 @@ class ByteDance2FirstLastFrameNode(IO.ComfyNode):
return IO.Schema(
node_id="ByteDance2FirstLastFrameNode",
display_name="ByteDance Seedance 2.0 First-Last-Frame to Video",
category="api node/video/ByteDance",
category="video/partner/ByteDance",
description="Generate video using Seedance 2.0 from a first frame image and optional last frame image.",
inputs=[
IO.DynamicCombo.Input(
@ -1930,7 +1930,7 @@ class ByteDance2ReferenceNode(IO.ComfyNode):
return IO.Schema(
node_id="ByteDance2ReferenceNode",
display_name="ByteDance Seedance 2.0 Reference to Video",
category="api node/video/ByteDance",
category="video/partner/ByteDance",
description="Generate, edit, or extend video using Seedance 2.0 with reference images, "
"videos, and audio. Supports multimodal reference, video editing, and video extension.",
inputs=[
@ -2224,7 +2224,7 @@ class ByteDanceCreateImageAsset(IO.ComfyNode):
return IO.Schema(
node_id="ByteDanceCreateImageAsset",
display_name="ByteDance Create Image Asset",
category="api node/image/ByteDance",
category="image/partner/ByteDance",
description=(
"Create a Seedance 2.0 personal image asset. Uploads the input image and "
"registers it in the given asset group. If group_id is empty, runs a real-person "
@ -2291,7 +2291,7 @@ class ByteDanceCreateVideoAsset(IO.ComfyNode):
return IO.Schema(
node_id="ByteDanceCreateVideoAsset",
display_name="ByteDance Create Video Asset",
category="api node/video/ByteDance",
category="video/partner/ByteDance",
description=(
"Create a Seedance 2.0 personal video asset. Uploads the input video and "
"registers it in the given asset group. If group_id is empty, runs a real-person "

2
comfy_api_nodes/nodes_bytedance_llm.py
View File

@ -144,7 +144,7 @@ class ByteDanceSeedNode(IO.ComfyNode):
return IO.Schema(
node_id="ByteDanceSeedNode",
display_name="ByteDance Seed",
category="api node/text/ByteDance",
category="text/partner/ByteDance",
essentials_category="Text Generation",
description="Generate text responses with ByteDance's Seed 2.0 models. "
"Provide a text prompt and optionally one or more images or videos for multimodal context.",

16
comfy_api_nodes/nodes_elevenlabs.py
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@ -69,7 +69,7 @@ class ElevenLabsSpeechToText(IO.ComfyNode):
return IO.Schema(
node_id="ElevenLabsSpeechToText",
display_name="ElevenLabs Speech to Text",
category="api node/audio/ElevenLabs",
category="audio/partner/ElevenLabs",
description="Transcribe audio to text. "
"Supports automatic language detection, speaker diarization, and audio event tagging.",
inputs=[
@ -210,7 +210,7 @@ class ElevenLabsVoiceSelector(IO.ComfyNode):
return IO.Schema(
node_id="ElevenLabsVoiceSelector",
display_name="ElevenLabs Voice Selector",
category="api node/audio/ElevenLabs",
category="audio/partner/ElevenLabs",
description="Select a predefined ElevenLabs voice for text-to-speech generation.",
inputs=[
IO.Combo.Input(
@ -239,7 +239,7 @@ class ElevenLabsTextToSpeech(IO.ComfyNode):
return IO.Schema(
node_id="ElevenLabsTextToSpeech",
display_name="ElevenLabs Text to Speech",
category="api node/audio/ElevenLabs",
category="audio/partner/ElevenLabs",
description="Convert text to speech.",
inputs=[
IO.Custom(ELEVENLABS_VOICE).Input(
@ -414,7 +414,7 @@ class ElevenLabsAudioIsolation(IO.ComfyNode):
return IO.Schema(
node_id="ElevenLabsAudioIsolation",
display_name="ElevenLabs Voice Isolation",
category="api node/audio/ElevenLabs",
category="audio/partner/ElevenLabs",
description="Remove background noise from audio, isolating vocals or speech.",
inputs=[
IO.Audio.Input(
@ -459,7 +459,7 @@ class ElevenLabsTextToSoundEffects(IO.ComfyNode):
return IO.Schema(
node_id="ElevenLabsTextToSoundEffects",
display_name="ElevenLabs Text to Sound Effects",
category="api node/audio/ElevenLabs",
category="audio/partner/ElevenLabs",
description="Generate sound effects from text descriptions.",
inputs=[
IO.String.Input(
@ -555,7 +555,7 @@ class ElevenLabsInstantVoiceClone(IO.ComfyNode):
return IO.Schema(
node_id="ElevenLabsInstantVoiceClone",
display_name="ElevenLabs Instant Voice Clone",
category="api node/audio/ElevenLabs",
category="audio/partner/ElevenLabs",
description="Create a cloned voice from audio samples. "
"Provide 1-8 audio recordings of the voice to clone.",
inputs=[
@ -658,7 +658,7 @@ class ElevenLabsSpeechToSpeech(IO.ComfyNode):
return IO.Schema(
node_id="ElevenLabsSpeechToSpeech",
display_name="ElevenLabs Speech to Speech",
category="api node/audio/ElevenLabs",
category="audio/partner/ElevenLabs",
description="Transform speech from one voice to another while preserving the original content and emotion.",
inputs=[
IO.Custom(ELEVENLABS_VOICE).Input(
@ -793,7 +793,7 @@ class ElevenLabsTextToDialogue(IO.ComfyNode):
return IO.Schema(
node_id="ElevenLabsTextToDialogue",
display_name="ElevenLabs Text to Dialogue",
category="api node/audio/ElevenLabs",
category="audio/partner/ElevenLabs",
description="Generate multi-speaker dialogue from text. Each dialogue entry has its own text and voice.",
inputs=[
IO.Float.Input(

12
comfy_api_nodes/nodes_gemini.py
View File

@ -300,7 +300,7 @@ class GeminiNode(IO.ComfyNode):
return IO.Schema(
node_id="GeminiNode",
display_name="Google Gemini",
category="api node/text/Gemini",
category="text/partner/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.",
@ -541,7 +541,7 @@ class GeminiInputFiles(IO.ComfyNode):
return IO.Schema(
node_id="GeminiInputFiles",
display_name="Gemini Input Files",
category="api node/text/Gemini",
category="text/partner/Gemini",
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. "
@ -598,7 +598,7 @@ class GeminiImage(IO.ComfyNode):
return IO.Schema(
node_id="GeminiImageNode",
display_name="Nano Banana (Google Gemini Image)",
category="api node/image/Gemini",
category="image/partner/Gemini",
description="Edit images synchronously via Google API.",
inputs=[
IO.String.Input(
@ -731,7 +731,7 @@ class GeminiImage2(IO.ComfyNode):
return IO.Schema(
node_id="GeminiImage2Node",
display_name="Nano Banana Pro (Google Gemini Image)",
category="api node/image/Gemini",
category="image/partner/Gemini",
description="Generate or edit images synchronously via Google Vertex API.",
inputs=[
IO.String.Input(
@ -869,7 +869,7 @@ class GeminiNanoBanana2(IO.ComfyNode):
return IO.Schema(
node_id="GeminiNanoBanana2",
display_name="Nano Banana 2",
category="api node/image/Gemini",
category="image/partner/Gemini",
description="Generate or edit images synchronously via Google Vertex API.",
inputs=[
IO.String.Input(
@ -1085,7 +1085,7 @@ class GeminiNanoBanana2V2(IO.ComfyNode):
return IO.Schema(
node_id="GeminiNanoBanana2V2",
display_name="Nano Banana 2",
category="api node/image/Gemini",
category="image/partner/Gemini",
description="Generate or edit images synchronously via Google Vertex API.",
inputs=[
IO.String.Input(

14
comfy_api_nodes/nodes_grok.py
View File

@ -49,7 +49,7 @@ class GrokImageNode(IO.ComfyNode):
return IO.Schema(
node_id="GrokImageNode",
display_name="Grok Image",
category="api node/image/Grok",
category="image/partner/Grok",
description="Generate images using Grok based on a text prompt",
inputs=[
IO.Combo.Input(
@ -224,7 +224,7 @@ class GrokImageEditNode(IO.ComfyNode):
return IO.Schema(
node_id="GrokImageEditNode",
display_name="Grok Image Edit",
category="api node/image/Grok",
category="image/partner/Grok",
description="Modify an existing image based on a text prompt",
inputs=[
IO.Combo.Input(
@ -366,7 +366,7 @@ class GrokImageEditNodeV2(IO.ComfyNode):
return IO.Schema(
node_id="GrokImageEditNodeV2",
display_name="Grok Image Edit",
category="api node/image/Grok",
category="image/partner/Grok",
description="Modify an existing image based on a text prompt",
inputs=[
IO.String.Input(
@ -503,7 +503,7 @@ class GrokVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="GrokVideoNode",
display_name="Grok Video",
category="api node/video/Grok",
category="video/partner/Grok",
description="Generate video from a prompt or an image",
inputs=[
IO.Combo.Input("model", options=["grok-imagine-video", "grok-imagine-video-beta"]),
@ -615,7 +615,7 @@ class GrokVideoEditNode(IO.ComfyNode):
return IO.Schema(
node_id="GrokVideoEditNode",
display_name="Grok Video Edit",
category="api node/video/Grok",
category="video/partner/Grok",
description="Edit an existing video based on a text prompt.",
inputs=[
IO.Combo.Input("model", options=["grok-imagine-video", "grok-imagine-video-beta"]),
@ -693,7 +693,7 @@ class GrokVideoReferenceNode(IO.ComfyNode):
return IO.Schema(
node_id="GrokVideoReferenceNode",
display_name="Grok Reference-to-Video",
category="api node/video/Grok",
category="video/partner/Grok",
description="Generate video guided by reference images as style and content references.",
inputs=[
IO.String.Input(
@ -826,7 +826,7 @@ class GrokVideoExtendNode(IO.ComfyNode):
return IO.Schema(
node_id="GrokVideoExtendNode",
display_name="Grok Video Extend",
category="api node/video/Grok",
category="video/partner/Grok",
description="Extend an existing video with a seamless continuation based on a text prompt.",
inputs=[
IO.String.Input(

4
comfy_api_nodes/nodes_hitpaw.py
View File

@ -71,7 +71,7 @@ class HitPawGeneralImageEnhance(IO.ComfyNode):
return IO.Schema(
node_id="HitPawGeneralImageEnhance",
display_name="HitPaw General Image Enhance",
category="api node/image/HitPaw",
category="image/partner/HitPaw",
description="Upscale low-resolution images to super-resolution, eliminate artifacts and noise. "
f"Maximum output: {MAX_MP_GENERATIVE} megapixels.",
inputs=[
@ -201,7 +201,7 @@ class HitPawVideoEnhance(IO.ComfyNode):
return IO.Schema(
node_id="HitPawVideoEnhance",
display_name="HitPaw Video Enhance",
category="api node/video/HitPaw",
category="video/partner/HitPaw",
description="Upscale low-resolution videos to high resolution, eliminate artifacts and noise. "
"Prices shown are per second of video.",
inputs=[

12
comfy_api_nodes/nodes_hunyuan3d.py
View File

@ -123,7 +123,7 @@ class TencentTextToModelNode(IO.ComfyNode):
return IO.Schema(
node_id="TencentTextToModelNode",
display_name="Hunyuan3D: Text to Model",
category="api node/3d/Tencent",
category="3d/partner/Tencent",
essentials_category="3D",
inputs=[
IO.Combo.Input(
@ -242,7 +242,7 @@ class TencentImageToModelNode(IO.ComfyNode):
return IO.Schema(
node_id="TencentImageToModelNode",
display_name="Hunyuan3D: Image(s) to Model",
category="api node/3d/Tencent",
category="3d/partner/Tencent",
essentials_category="3D",
inputs=[
IO.Combo.Input(
@ -415,7 +415,7 @@ class TencentModelTo3DUVNode(IO.ComfyNode):
return IO.Schema(
node_id="TencentModelTo3DUVNode",
display_name="Hunyuan3D: Model to UV",
category="api node/3d/Tencent",
category="3d/partner/Tencent",
description="Perform UV unfolding on a 3D model to generate UV texture. "
"Input model must have less than 30000 faces.",
inputs=[
@ -505,7 +505,7 @@ class Tencent3DTextureEditNode(IO.ComfyNode):
return IO.Schema(
node_id="Tencent3DTextureEditNode",
display_name="Hunyuan3D: 3D Texture Edit",
category="api node/3d/Tencent",
category="3d/partner/Tencent",
description="After inputting the 3D model, perform 3D model texture redrawing.",
inputs=[
IO.MultiType.Input(
@ -594,7 +594,7 @@ class Tencent3DPartNode(IO.ComfyNode):
return IO.Schema(
node_id="Tencent3DPartNode",
display_name="Hunyuan3D: 3D Part",
category="api node/3d/Tencent",
category="3d/partner/Tencent",
description="Automatically perform component identification and generation based on the model structure.",
inputs=[
IO.MultiType.Input(
@ -666,7 +666,7 @@ class TencentSmartTopologyNode(IO.ComfyNode):
return IO.Schema(
node_id="TencentSmartTopologyNode",
display_name="Hunyuan3D: Smart Topology",
category="api node/3d/Tencent",
category="3d/partner/Tencent",
description="Perform smart retopology on a 3D model. "
"Supports GLB/OBJ formats; max 200MB; recommended for high-poly models.",
inputs=[

6
comfy_api_nodes/nodes_ideogram.py
View File

@ -234,7 +234,7 @@ class IdeogramV1(IO.ComfyNode):
return IO.Schema(
node_id="IdeogramV1",
display_name="Ideogram V1",
category="api node/image/Ideogram",
category="image/partner/Ideogram",
description="Generates images using the Ideogram V1 model.",
inputs=[
IO.String.Input(
@ -360,7 +360,7 @@ class IdeogramV2(IO.ComfyNode):
return IO.Schema(
node_id="IdeogramV2",
display_name="Ideogram V2",
category="api node/image/Ideogram",
category="image/partner/Ideogram",
description="Generates images using the Ideogram V2 model.",
inputs=[
IO.String.Input(
@ -526,7 +526,7 @@ class IdeogramV3(IO.ComfyNode):
return IO.Schema(
node_id="IdeogramV3",
display_name="Ideogram V3",
category="api node/image/Ideogram",
category="image/partner/Ideogram",
description="Generates images using the Ideogram V3 model. "
"Supports both regular image generation from text prompts and image editing with mask.",
inputs=[

50
comfy_api_nodes/nodes_kling.py
View File

@ -642,7 +642,7 @@ class KlingCameraControls(IO.ComfyNode):
return IO.Schema(
node_id="KlingCameraControls",
display_name="Kling Camera Controls",
category="api node/video/Kling",
category="video/partner/Kling",
description="Allows specifying configuration options for Kling Camera Controls and motion control effects.",
inputs=[
IO.Combo.Input("camera_control_type", options=KlingCameraControlType),
@ -762,7 +762,7 @@ class KlingTextToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingTextToVideoNode",
display_name="Kling Text to Video",
category="api node/video/Kling",
category="video/partner/Kling",
description="Kling Text to Video Node",
inputs=[
IO.String.Input("prompt", multiline=True, tooltip="Positive text prompt"),
@ -849,7 +849,7 @@ class OmniProTextToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingOmniProTextToVideoNode",
display_name="Kling 3.0 Omni Text to Video",
category="api node/video/Kling",
category="video/partner/Kling",
description="Use text prompts to generate videos with the latest Kling model.",
inputs=[
IO.Combo.Input("model_name", options=["kling-v3-omni", "kling-video-o1"]),
@ -998,7 +998,7 @@ class OmniProFirstLastFrameNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingOmniProFirstLastFrameNode",
display_name="Kling 3.0 Omni First-Last-Frame to Video",
category="api node/video/Kling",
category="video/partner/Kling",
description="Use a start frame, an optional end frame, or reference images with the latest Kling model.",
inputs=[
IO.Combo.Input("model_name", options=["kling-v3-omni", "kling-video-o1"]),
@ -1205,7 +1205,7 @@ class OmniProImageToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingOmniProImageToVideoNode",
display_name="Kling 3.0 Omni Image to Video",
category="api node/video/Kling",
category="video/partner/Kling",
description="Use up to 7 reference images to generate a video with the latest Kling model.",
inputs=[
IO.Combo.Input("model_name", options=["kling-v3-omni", "kling-video-o1"]),
@ -1374,7 +1374,7 @@ class OmniProVideoToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingOmniProVideoToVideoNode",
display_name="Kling 3.0 Omni Video to Video",
category="api node/video/Kling",
category="video/partner/Kling",
description="Use a video and up to 4 reference images to generate a video with the latest Kling model.",
inputs=[
IO.Combo.Input("model_name", options=["kling-v3-omni", "kling-video-o1"]),
@ -1485,7 +1485,7 @@ class OmniProEditVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingOmniProEditVideoNode",
display_name="Kling 3.0 Omni Edit Video",
category="api node/video/Kling",
category="video/partner/Kling",
essentials_category="Video Generation",
description="Edit an existing video with the latest model from Kling.",
inputs=[
@ -1593,7 +1593,7 @@ class OmniProImageNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingOmniProImageNode",
display_name="Kling 3.0 Omni Image",
category="api node/image/Kling",
category="image/partner/Kling",
description="Create or edit images with the latest model from Kling.",
inputs=[
IO.Combo.Input("model_name", options=["kling-v3-omni", "kling-image-o1"]),
@ -1721,7 +1721,7 @@ class KlingCameraControlT2VNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingCameraControlT2VNode",
display_name="Kling Text to Video (Camera Control)",
category="api node/video/Kling",
category="video/partner/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.",
inputs=[
IO.String.Input("prompt", multiline=True, tooltip="Positive text prompt"),
@ -1783,7 +1783,7 @@ class KlingImage2VideoNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingImage2VideoNode",
display_name="Kling Image(First Frame) to Video",
category="api node/video/Kling",
category="video/partner/Kling",
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"),
@ -1882,7 +1882,7 @@ class KlingCameraControlI2VNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingCameraControlI2VNode",
display_name="Kling Image to Video (Camera Control)",
category="api node/video/Kling",
category="video/partner/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.",
inputs=[
IO.Image.Input(
@ -1953,7 +1953,7 @@ class KlingStartEndFrameNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingStartEndFrameNode",
display_name="Kling Start-End Frame to Video",
category="api node/video/Kling",
category="video/partner/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.",
inputs=[
IO.Image.Input(
@ -2047,7 +2047,7 @@ class KlingVideoExtendNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingVideoExtendNode",
display_name="Kling Video Extend",
category="api node/video/Kling",
category="video/partner/Kling",
description="Kling Video Extend Node. Extend videos made by other Kling nodes. The video_id is created by using other Kling Nodes.",
inputs=[
IO.String.Input(
@ -2128,7 +2128,7 @@ class KlingDualCharacterVideoEffectNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingDualCharacterVideoEffectNode",
display_name="Kling Dual Character Video Effects",
category="api node/video/Kling",
category="video/partner/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.",
inputs=[
IO.Image.Input("image_left", tooltip="Left side image"),
@ -2218,7 +2218,7 @@ class KlingSingleImageVideoEffectNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingSingleImageVideoEffectNode",
display_name="Kling Video Effects",
category="api node/video/Kling",
category="video/partner/Kling",
description="Achieve different special effects when generating a video based on the effect_scene.",
inputs=[
IO.Image.Input(
@ -2291,7 +2291,7 @@ class KlingLipSyncAudioToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingLipSyncAudioToVideoNode",
display_name="Kling Lip Sync Video with Audio",
category="api node/video/Kling",
category="video/partner/Kling",
essentials_category="Video Generation",
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.",
inputs=[
@ -2343,7 +2343,7 @@ class KlingLipSyncTextToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingLipSyncTextToVideoNode",
display_name="Kling Lip Sync Video with Text",
category="api node/video/Kling",
category="video/partner/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.",
inputs=[
IO.Video.Input("video"),
@ -2411,7 +2411,7 @@ class KlingVirtualTryOnNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingVirtualTryOnNode",
display_name="Kling Virtual Try On",
category="api node/image/Kling",
category="image/partner/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.",
inputs=[
IO.Image.Input("human_image"),
@ -2478,7 +2478,7 @@ class KlingImageGenerationNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingImageGenerationNode",
display_name="Kling 3.0 Image",
category="api node/image/Kling",
category="image/partner/Kling",
description="Kling Image Generation Node. Generate an image from a text prompt with an optional reference image.",
inputs=[
IO.String.Input("prompt", multiline=True, tooltip="Positive text prompt"),
@ -2615,7 +2615,7 @@ class TextToVideoWithAudio(IO.ComfyNode):
return IO.Schema(
node_id="KlingTextToVideoWithAudio",
display_name="Kling 2.6 Text to Video with Audio",
category="api node/video/Kling",
category="video/partner/Kling",
inputs=[
IO.Combo.Input("model_name", options=["kling-v2-6"]),
IO.String.Input("prompt", multiline=True, tooltip="Positive text prompt."),
@ -2683,7 +2683,7 @@ class ImageToVideoWithAudio(IO.ComfyNode):
return IO.Schema(
node_id="KlingImageToVideoWithAudio",
display_name="Kling 2.6 Image(First Frame) to Video with Audio",
category="api node/video/Kling",
category="video/partner/Kling",
inputs=[
IO.Combo.Input("model_name", options=["kling-v2-6"]),
IO.Image.Input("start_frame"),
@ -2753,7 +2753,7 @@ class MotionControl(IO.ComfyNode):
return IO.Schema(
node_id="KlingMotionControl",
display_name="Kling Motion Control",
category="api node/video/Kling",
category="video/partner/Kling",
inputs=[
IO.String.Input("prompt", multiline=True),
IO.Image.Input("reference_image"),
@ -2854,7 +2854,7 @@ class KlingVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingVideoNode",
display_name="Kling 3.0 Video",
category="api node/video/Kling",
category="video/partner/Kling",
description="Generate videos with Kling V3. "
"Supports text-to-video and image-to-video with optional storyboard multi-prompt and audio generation.",
inputs=[
@ -3077,7 +3077,7 @@ class KlingFirstLastFrameNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingFirstLastFrameNode",
display_name="Kling 3.0 First-Last-Frame to Video",
category="api node/video/Kling",
category="video/partner/Kling",
description="Generate videos with Kling V3 using first and last frames.",
inputs=[
IO.String.Input("prompt", multiline=True, default=""),
@ -3202,7 +3202,7 @@ class KlingAvatarNode(IO.ComfyNode):
return IO.Schema(
node_id="KlingAvatarNode",
display_name="Kling Avatar 2.0",
category="api node/video/Kling",
category="video/partner/Kling",
description="Generate broadcast-style digital human videos from a single photo and an audio file.",
inputs=[
IO.Image.Input(

4
comfy_api_nodes/nodes_krea.py
View File

@ -106,7 +106,7 @@ class Krea2ImageNode(IO.ComfyNode):
return IO.Schema(
node_id="Krea2ImageNode",
display_name="Krea 2 Image",
category="api node/image/Krea",
category="image/partner/Krea",
description=(
"Generate images via Krea 2 — pick Medium (expressive illustrations) or "
"Large (expressive photorealism). Supports an optional moodboard and up "
@ -229,7 +229,7 @@ class Krea2StyleReferenceNode(IO.ComfyNode):
return IO.Schema(
node_id="Krea2StyleReferenceNode",
display_name="Krea 2 Style Reference",
category="api node/image/Krea",
category="image/partner/Krea",
description=(
"Add an image style reference to a Krea 2 generation. Chain multiple Krea 2 "
"Style Reference nodes (max 10) and feed the final `style_reference` output "

4
comfy_api_nodes/nodes_ltxv.py
View File

@ -50,7 +50,7 @@ class TextToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="LtxvApiTextToVideo",
display_name="LTXV Text To Video",
category="api node/video/LTXV",
category="video/partner/LTXV",
description="Professional-quality videos with customizable duration and resolution.",
inputs=[
IO.Combo.Input("model", options=list(MODELS_MAP.keys())),
@ -127,7 +127,7 @@ class ImageToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="LtxvApiImageToVideo",
display_name="LTXV Image To Video",
category="api node/video/LTXV",
category="video/partner/LTXV",
description="Professional-quality videos with customizable duration and resolution based on start image.",
inputs=[
IO.Image.Input("image", tooltip="First frame to be used for the video."),

16
comfy_api_nodes/nodes_luma.py
View File

@ -46,7 +46,7 @@ class LumaReferenceNode(IO.ComfyNode):
return IO.Schema(
node_id="LumaReferenceNode",
display_name="Luma Reference",
category="api node/image/Luma",
category="image/partner/Luma",
description="Holds an image and weight for use with Luma Generate Image node.",
inputs=[
IO.Image.Input(
@ -85,7 +85,7 @@ class LumaConceptsNode(IO.ComfyNode):
return IO.Schema(
node_id="LumaConceptsNode",
display_name="Luma Concepts",
category="api node/video/Luma",
category="video/partner/Luma",
description="Camera Concepts for use with Luma Text to Video and Luma Image to Video nodes.",
inputs=[
IO.Combo.Input(
@ -134,7 +134,7 @@ class LumaImageGenerationNode(IO.ComfyNode):
return IO.Schema(
node_id="LumaImageNode",
display_name="Luma Text to Image",
category="api node/image/Luma",
category="image/partner/Luma",
description="Generates images synchronously based on prompt and aspect ratio.",
inputs=[
IO.String.Input(
@ -278,7 +278,7 @@ class LumaImageModifyNode(IO.ComfyNode):
return IO.Schema(
node_id="LumaImageModifyNode",
display_name="Luma Image to Image",
category="api node/image/Luma",
category="image/partner/Luma",
description="Modifies images synchronously based on prompt and aspect ratio.",
inputs=[
IO.Image.Input(
@ -371,7 +371,7 @@ class LumaTextToVideoGenerationNode(IO.ComfyNode):
return IO.Schema(
node_id="LumaVideoNode",
display_name="Luma Text to Video",
category="api node/video/Luma",
category="video/partner/Luma",
description="Generates videos synchronously based on prompt and output_size.",
inputs=[
IO.String.Input(
@ -472,7 +472,7 @@ class LumaImageToVideoGenerationNode(IO.ComfyNode):
return IO.Schema(
node_id="LumaImageToVideoNode",
display_name="Luma Image to Video",
category="api node/video/Luma",
category="video/partner/Luma",
description="Generates videos synchronously based on prompt, input images, and output_size.",
inputs=[
IO.String.Input(
@ -724,7 +724,7 @@ class LumaImageNode(IO.ComfyNode):
return IO.Schema(
node_id="LumaImageNode2",
display_name="Luma UNI-1 Image",
category="api node/image/Luma",
category="image/partner/Luma",
description="Generate images from text using the Luma UNI-1 model.",
inputs=[
IO.String.Input(
@ -853,7 +853,7 @@ class LumaImageEditNode(IO.ComfyNode):
return IO.Schema(
node_id="LumaImageEditNode2",
display_name="Luma UNI-1 Image Edit",
category="api node/image/Luma",
category="image/partner/Luma",
description="Edit an existing image with a text prompt using the Luma UNI-1 model.",
inputs=[
IO.Image.Input(

10
comfy_api_nodes/nodes_magnific.py
View File

@ -61,7 +61,7 @@ class MagnificImageUpscalerCreativeNode(IO.ComfyNode):
return IO.Schema(
node_id="MagnificImageUpscalerCreativeNode",
display_name="Magnific Image Upscale (Creative)",
category="api node/image/Magnific",
category="image/partner/Magnific",
description="Prompt‑guided enhancement, stylization, and 2x/4x/8x/16x upscaling. "
"Maximum output: 25.3 megapixels.",
inputs=[
@ -240,7 +240,7 @@ class MagnificImageUpscalerPreciseV2Node(IO.ComfyNode):
return IO.Schema(
node_id="MagnificImageUpscalerPreciseV2Node",
display_name="Magnific Image Upscale (Precise V2)",
category="api node/image/Magnific",
category="image/partner/Magnific",
description="High-fidelity upscaling with fine control over sharpness, grain, and detail. "
"Maximum output: 10060×10060 pixels.",
inputs=[
@ -400,7 +400,7 @@ class MagnificImageStyleTransferNode(IO.ComfyNode):
return IO.Schema(
node_id="MagnificImageStyleTransferNode",
display_name="Magnific Image Style Transfer",
category="api node/image/Magnific",
category="image/partner/Magnific",
description="Transfer the style from a reference image to your input image.",
inputs=[
IO.Image.Input("image", tooltip="The image to apply style transfer to."),
@ -549,7 +549,7 @@ class MagnificImageRelightNode(IO.ComfyNode):
return IO.Schema(
node_id="MagnificImageRelightNode",
display_name="Magnific Image Relight",
category="api node/image/Magnific",
category="image/partner/Magnific",
description="Relight an image with lighting adjustments and optional reference-based light transfer.",
inputs=[
IO.Image.Input("image", tooltip="The image to relight."),
@ -789,7 +789,7 @@ class MagnificImageSkinEnhancerNode(IO.ComfyNode):
return IO.Schema(
node_id="MagnificImageSkinEnhancerNode",
display_name="Magnific Image Skin Enhancer",
category="api node/image/Magnific",
category="image/partner/Magnific",
description="Skin enhancement for portraits with multiple processing modes.",
inputs=[
IO.Image.Input("image", tooltip="The portrait image to enhance."),

14
comfy_api_nodes/nodes_meshy.py
View File

@ -33,7 +33,7 @@ class MeshyTextToModelNode(IO.ComfyNode):
return IO.Schema(
node_id="MeshyTextToModelNode",
display_name="Meshy: Text to Model",
category="api node/3d/Meshy",
category="3d/partner/Meshy",
inputs=[
IO.Combo.Input("model", options=["latest"]),
IO.String.Input("prompt", multiline=True, default=""),
@ -145,7 +145,7 @@ class MeshyRefineNode(IO.ComfyNode):
return IO.Schema(
node_id="MeshyRefineNode",
display_name="Meshy: Refine Draft Model",
category="api node/3d/Meshy",
category="3d/partner/Meshy",
description="Refine a previously created draft model.",
inputs=[
IO.Combo.Input("model", options=["latest"]),
@ -240,7 +240,7 @@ class MeshyImageToModelNode(IO.ComfyNode):
return IO.Schema(
node_id="MeshyImageToModelNode",
display_name="Meshy: Image to Model",
category="api node/3d/Meshy",
category="3d/partner/Meshy",
inputs=[
IO.Combo.Input("model", options=["latest"]),
IO.Image.Input("image"),
@ -405,7 +405,7 @@ class MeshyMultiImageToModelNode(IO.ComfyNode):
return IO.Schema(
node_id="MeshyMultiImageToModelNode",
display_name="Meshy: Multi-Image to Model",
category="api node/3d/Meshy",
category="3d/partner/Meshy",
inputs=[
IO.Combo.Input("model", options=["latest"]),
IO.Autogrow.Input(
@ -575,7 +575,7 @@ class MeshyRigModelNode(IO.ComfyNode):
return IO.Schema(
node_id="MeshyRigModelNode",
display_name="Meshy: Rig Model",
category="api node/3d/Meshy",
category="3d/partner/Meshy",
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.",
@ -656,7 +656,7 @@ class MeshyAnimateModelNode(IO.ComfyNode):
return IO.Schema(
node_id="MeshyAnimateModelNode",
display_name="Meshy: Animate Model",
category="api node/3d/Meshy",
category="3d/partner/Meshy",
description="Apply a specific animation action to a previously rigged character.",
inputs=[
IO.Custom("MESHY_RIGGED_TASK_ID").Input("rig_task_id"),
@ -722,7 +722,7 @@ class MeshyTextureNode(IO.ComfyNode):
return IO.Schema(
node_id="MeshyTextureNode",
display_name="Meshy: Texture Model",
category="api node/3d/Meshy",
category="3d/partner/Meshy",
inputs=[
IO.Combo.Input("model", options=["latest"]),
IO.Custom("MESHY_TASK_ID").Input("meshy_task_id"),

8
comfy_api_nodes/nodes_minimax.py
View File

@ -101,7 +101,7 @@ class MinimaxTextToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="MinimaxTextToVideoNode",
display_name="MiniMax Text to Video",
category="api node/video/MiniMax",
category="video/partner/MiniMax",
description="Generates videos synchronously based on a prompt, and optional parameters.",
inputs=[
IO.String.Input(
@ -163,7 +163,7 @@ class MinimaxImageToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="MinimaxImageToVideoNode",
display_name="MiniMax Image to Video",
category="api node/video/MiniMax",
category="video/partner/MiniMax",
description="Generates videos synchronously based on an image and prompt, and optional parameters.",
inputs=[
IO.Image.Input(
@ -230,7 +230,7 @@ class MinimaxSubjectToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="MinimaxSubjectToVideoNode",
display_name="MiniMax Subject to Video",
category="api node/video/MiniMax",
category="video/partner/MiniMax",
description="Generates videos synchronously based on an image and prompt, and optional parameters.",
inputs=[
IO.Image.Input(
@ -294,7 +294,7 @@ class MinimaxHailuoVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="MinimaxHailuoVideoNode",
display_name="MiniMax Hailuo Video",
category="api node/video/MiniMax",
category="video/partner/MiniMax",
description="Generates videos from prompt, with optional start frame using the new MiniMax Hailuo-02 model.",
inputs=[
IO.String.Input(

14
comfy_api_nodes/nodes_openai.py
View File

@ -99,7 +99,7 @@ class OpenAIDalle2(IO.ComfyNode):
return IO.Schema(
node_id="OpenAIDalle2",
display_name="OpenAI DALL·E 2",
category="api node/image/OpenAI",
category="image/partner/OpenAI",
description="Generates images synchronously via OpenAI's DALL·E 2 endpoint.",
inputs=[
IO.String.Input(
@ -249,7 +249,7 @@ class OpenAIDalle3(IO.ComfyNode):
return IO.Schema(
node_id="OpenAIDalle3",
display_name="OpenAI DALL·E 3",
category="api node/image/OpenAI",
category="image/partner/OpenAI",
description="Generates images synchronously via OpenAI's DALL·E 3 endpoint.",
inputs=[
IO.String.Input(
@ -371,7 +371,7 @@ class OpenAIGPTImage1(IO.ComfyNode):
return IO.Schema(
node_id="OpenAIGPTImage1",
display_name="OpenAI GPT Image 2",
category="api node/image/OpenAI",
category="image/partner/OpenAI",
description="Generates images synchronously via OpenAI's GPT Image endpoint.",
is_deprecated=True,
inputs=[
@ -695,7 +695,7 @@ class OpenAIGPTImageNodeV2(IO.ComfyNode):
return IO.Schema(
node_id="OpenAIGPTImageNodeV2",
display_name="OpenAI GPT Image 2",
category="api node/image/OpenAI",
category="image/partner/OpenAI",
description="Generates images via OpenAI's GPT Image endpoint.",
inputs=[
IO.String.Input(
@ -962,7 +962,7 @@ class OpenAIChatNode(IO.ComfyNode):
return IO.Schema(
node_id="OpenAIChatNode",
display_name="OpenAI ChatGPT",
category="api node/text/OpenAI",
category="text/partner/OpenAI",
essentials_category="Text Generation",
description="Generate text responses from an OpenAI model.",
inputs=[
@ -1201,7 +1201,7 @@ class OpenAIInputFiles(IO.ComfyNode):
return IO.Schema(
node_id="OpenAIInputFiles",
display_name="OpenAI ChatGPT Input Files",
category="api node/text/OpenAI",
category="text/partner/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.",
inputs=[
IO.Combo.Input(
@ -1248,7 +1248,7 @@ class OpenAIChatConfig(IO.ComfyNode):
return IO.Schema(
node_id="OpenAIChatConfig",
display_name="OpenAI ChatGPT Advanced Options",
category="api node/text/OpenAI",
category="text/partner/OpenAI",
description="Allows specifying advanced configuration options for the OpenAI Chat Nodes.",
inputs=[
IO.Combo.Input(

2
comfy_api_nodes/nodes_openrouter.py
View File

@ -265,7 +265,7 @@ class OpenRouterLLMNode(IO.ComfyNode):
return IO.Schema(
node_id="OpenRouterLLMNode",
display_name="OpenRouter LLM",
category="api node/text/OpenRouter",
category="text/partner/OpenRouter",
essentials_category="Text Generation",
description=(
"Generate text responses through OpenRouter. Routes to a curated set of popular "

8
comfy_api_nodes/nodes_pixverse.py
View File

@ -53,7 +53,7 @@ class PixverseTemplateNode(IO.ComfyNode):
return IO.Schema(
node_id="PixverseTemplateNode",
display_name="PixVerse Template",
category="api node/video/PixVerse",
category="video/partner/PixVerse",
inputs=[
IO.Combo.Input("template", options=list(pixverse_templates.keys())),
],
@ -74,7 +74,7 @@ class PixverseTextToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="PixverseTextToVideoNode",
display_name="PixVerse Text to Video",
category="api node/video/PixVerse",
category="video/partner/PixVerse",
description="Generates videos based on prompt and output_size.",
inputs=[
IO.String.Input(
@ -192,7 +192,7 @@ class PixverseImageToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="PixverseImageToVideoNode",
display_name="PixVerse Image to Video",
category="api node/video/PixVerse",
category="video/partner/PixVerse",
description="Generates videos based on prompt and output_size.",
inputs=[
IO.Image.Input("image"),
@ -310,7 +310,7 @@ class PixverseTransitionVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="PixverseTransitionVideoNode",
display_name="PixVerse Transition Video",
category="api node/video/PixVerse",
category="video/partner/PixVerse",
description="Generates videos based on prompt and output_size.",
inputs=[
IO.Image.Input("first_frame"),

4
comfy_api_nodes/nodes_quiver.py
View File

@ -62,7 +62,7 @@ class QuiverTextToSVGNode(IO.ComfyNode):
return IO.Schema(
node_id="QuiverTextToSVGNode",
display_name="Quiver Text to SVG",
category="api node/image/Quiver",
category="image/partner/Quiver",
description="Generate an SVG from a text prompt using Quiver AI.",
inputs=[
IO.String.Input(
@ -177,7 +177,7 @@ class QuiverImageToSVGNode(IO.ComfyNode):
return IO.Schema(
node_id="QuiverImageToSVGNode",
display_name="Quiver Image to SVG",
category="api node/image/Quiver",
category="image/partner/Quiver",
description="Vectorize a raster image into SVG using Quiver AI.",
inputs=[
IO.Image.Input(

38
comfy_api_nodes/nodes_recraft.py
View File

@ -178,7 +178,7 @@ class RecraftColorRGBNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftColorRGB",
display_name="Recraft Color RGB",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Create Recraft Color by choosing specific RGB values.",
inputs=[
IO.Int.Input("r", default=0, min=0, max=255, tooltip="Red value of color."),
@ -204,7 +204,7 @@ class RecraftControlsNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftControls",
display_name="Recraft Controls",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Create Recraft Controls for customizing Recraft generation.",
inputs=[
IO.Custom(RecraftIO.COLOR).Input("colors", optional=True),
@ -228,7 +228,7 @@ class RecraftStyleV3RealisticImageNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftStyleV3RealisticImage",
display_name="Recraft Style - Realistic Image",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Select realistic_image style and optional substyle.",
inputs=[
IO.Combo.Input("substyle", options=get_v3_substyles(cls.RECRAFT_STYLE)),
@ -253,7 +253,7 @@ class RecraftStyleV3DigitalIllustrationNode(RecraftStyleV3RealisticImageNode):
return IO.Schema(
node_id="RecraftStyleV3DigitalIllustration",
display_name="Recraft Style - Digital Illustration",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Select realistic_image style and optional substyle.",
inputs=[
IO.Combo.Input("substyle", options=get_v3_substyles(cls.RECRAFT_STYLE)),
@ -272,7 +272,7 @@ class RecraftStyleV3VectorIllustrationNode(RecraftStyleV3RealisticImageNode):
return IO.Schema(
node_id="RecraftStyleV3VectorIllustrationNode",
display_name="Recraft Style - Realistic Image",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Select realistic_image style and optional substyle.",
inputs=[
IO.Combo.Input("substyle", options=get_v3_substyles(cls.RECRAFT_STYLE)),
@ -291,7 +291,7 @@ class RecraftStyleV3LogoRasterNode(RecraftStyleV3RealisticImageNode):
return IO.Schema(
node_id="RecraftStyleV3LogoRaster",
display_name="Recraft Style - Logo Raster",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Select realistic_image style and optional substyle.",
inputs=[
IO.Combo.Input("substyle", options=get_v3_substyles(cls.RECRAFT_STYLE, include_none=False)),
@ -308,7 +308,7 @@ class RecraftStyleInfiniteStyleLibrary(IO.ComfyNode):
return IO.Schema(
node_id="RecraftStyleV3InfiniteStyleLibrary",
display_name="Recraft Style - Infinite Style Library",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Choose style based on preexisting UUID from Recraft's Infinite Style Library.",
inputs=[
IO.String.Input("style_id", default="", tooltip="UUID of style from Infinite Style Library."),
@ -331,7 +331,7 @@ class RecraftCreateStyleNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftCreateStyleNode",
display_name="Recraft Create Style",
category="api node/image/Recraft",
category="image/partner/Recraft",
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.",
@ -400,7 +400,7 @@ class RecraftTextToImageNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftTextToImageNode",
display_name="Recraft Text to Image",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Generates images synchronously based on prompt and resolution.",
inputs=[
IO.String.Input("prompt", multiline=True, default="", tooltip="Prompt for the image generation."),
@ -512,7 +512,7 @@ class RecraftImageToImageNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftImageToImageNode",
display_name="Recraft Image to Image",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Modify image based on prompt and strength.",
inputs=[
IO.Image.Input("image"),
@ -630,7 +630,7 @@ class RecraftImageInpaintingNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftImageInpaintingNode",
display_name="Recraft Image Inpainting",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Modify image based on prompt and mask.",
inputs=[
IO.Image.Input("image"),
@ -732,7 +732,7 @@ class RecraftTextToVectorNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftTextToVectorNode",
display_name="Recraft Text to Vector",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Generates SVG synchronously based on prompt and resolution.",
inputs=[
IO.String.Input("prompt", default="", tooltip="Prompt for the image generation.", multiline=True),
@ -832,7 +832,7 @@ class RecraftVectorizeImageNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftVectorizeImageNode",
display_name="Recraft Vectorize Image",
category="api node/image/Recraft",
category="image/partner/Recraft",
essentials_category="Image Tools",
description="Generates SVG synchronously from an input image.",
inputs=[
@ -876,7 +876,7 @@ class RecraftReplaceBackgroundNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftReplaceBackgroundNode",
display_name="Recraft Replace Background",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Replace background on image, based on provided prompt.",
inputs=[
IO.Image.Input("image"),
@ -963,7 +963,7 @@ class RecraftRemoveBackgroundNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftRemoveBackgroundNode",
display_name="Recraft Remove Background",
category="api node/image/Recraft",
category="image/partner/Recraft",
essentials_category="Image Tools",
description="Remove background from image, and return processed image and mask.",
inputs=[
@ -1012,7 +1012,7 @@ class RecraftCrispUpscaleNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftCrispUpscaleNode",
display_name="Recraft Crisp Upscale Image",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Upscale image synchronously.\n"
"Enhances a given raster image using ‘crisp upscale’ tool, "
"increasing image resolution, making the image sharper and cleaner.",
@ -1058,7 +1058,7 @@ class RecraftCreativeUpscaleNode(RecraftCrispUpscaleNode):
return IO.Schema(
node_id="RecraftCreativeUpscaleNode",
display_name="Recraft Creative Upscale Image",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Upscale image synchronously.\n"
"Enhances a given raster image using ‘creative upscale’ tool, "
"boosting resolution with a focus on refining small details and faces.",
@ -1086,7 +1086,7 @@ class RecraftV4TextToImageNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftV4TextToImageNode",
display_name="Recraft V4 Text to Image",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Generates images using Recraft V4 or V4 Pro models.",
inputs=[
IO.String.Input(
@ -1210,7 +1210,7 @@ class RecraftV4TextToVectorNode(IO.ComfyNode):
return IO.Schema(
node_id="RecraftV4TextToVectorNode",
display_name="Recraft V4 Text to Vector",
category="api node/image/Recraft",
category="image/partner/Recraft",
description="Generates SVG using Recraft V4 or V4 Pro models.",
inputs=[
IO.String.Input(

6
comfy_api_nodes/nodes_reve.py
View File

@ -109,7 +109,7 @@ class ReveImageCreateNode(IO.ComfyNode):
return IO.Schema(
node_id="ReveImageCreateNode",
display_name="Reve Image Create",
category="api node/image/Reve",
category="image/partner/Reve",
description="Generate images from text descriptions using Reve.",
inputs=[
IO.String.Input(
@ -200,7 +200,7 @@ class ReveImageEditNode(IO.ComfyNode):
return IO.Schema(
node_id="ReveImageEditNode",
display_name="Reve Image Edit",
category="api node/image/Reve",
category="image/partner/Reve",
description="Edit images using natural language instructions with Reve.",
inputs=[
IO.Image.Input("image", tooltip="The image to edit."),
@ -300,7 +300,7 @@ class ReveImageRemixNode(IO.ComfyNode):
return IO.Schema(
node_id="ReveImageRemixNode",
display_name="Reve Image Remix",
category="api node/image/Reve",
category="image/partner/Reve",
description="Combine reference images with text prompts to create new images using Reve.",
inputs=[
IO.Autogrow.Input(

14
comfy_api_nodes/nodes_rodin.py
View File

@ -230,7 +230,7 @@ class Rodin3D_Regular(IO.ComfyNode):
return IO.Schema(
node_id="Rodin3D_Regular",
display_name="Rodin 3D Generate - Regular Generate",
category="api node/3d/Rodin",
category="3d/partner/Rodin",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.Image.Input("Images"),
@ -289,7 +289,7 @@ class Rodin3D_Detail(IO.ComfyNode):
return IO.Schema(
node_id="Rodin3D_Detail",
display_name="Rodin 3D Generate - Detail Generate",
category="api node/3d/Rodin",
category="3d/partner/Rodin",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.Image.Input("Images"),
@ -348,7 +348,7 @@ class Rodin3D_Smooth(IO.ComfyNode):
return IO.Schema(
node_id="Rodin3D_Smooth",
display_name="Rodin 3D Generate - Smooth Generate",
category="api node/3d/Rodin",
category="3d/partner/Rodin",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.Image.Input("Images"),
@ -406,7 +406,7 @@ class Rodin3D_Sketch(IO.ComfyNode):
return IO.Schema(
node_id="Rodin3D_Sketch",
display_name="Rodin 3D Generate - Sketch Generate",
category="api node/3d/Rodin",
category="3d/partner/Rodin",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.Image.Input("Images"),
@ -468,7 +468,7 @@ class Rodin3D_Gen2(IO.ComfyNode):
return IO.Schema(
node_id="Rodin3D_Gen2",
display_name="Rodin 3D Generate - Gen-2 Generate",
category="api node/3d/Rodin",
category="3d/partner/Rodin",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.Image.Input("Images"),
@ -941,7 +941,7 @@ class Rodin3D_Gen25_Image(IO.ComfyNode):
return IO.Schema(
node_id="Rodin3D_Gen25_Image",
display_name="Rodin 3D Gen-2.5 - Image to 3D",
category="api node/3d/Rodin",
category="3d/partner/Rodin",
description=(
"Generate a 3D model from 1-5 reference images via Rodin Gen-2.5. "
"Pick a mode (Fast / Regular / Extreme-High) to tune quality vs. cost."
@ -1035,7 +1035,7 @@ class Rodin3D_Gen25_Text(IO.ComfyNode):
return IO.Schema(
node_id="Rodin3D_Gen25_Text",
display_name="Rodin 3D Gen-2.5 - Text to 3D",
category="api node/3d/Rodin",
category="3d/partner/Rodin",
description=(
"Generate a 3D model from a text prompt via Rodin Gen-2.5. "
"Pick a mode (Fast / Regular / Extreme-High) to tune quality vs. cost."

8
comfy_api_nodes/nodes_runway.py
View File

@ -140,7 +140,7 @@ class RunwayImageToVideoNodeGen3a(IO.ComfyNode):
return IO.Schema(
node_id="RunwayImageToVideoNodeGen3a",
display_name="Runway Image to Video (Gen3a Turbo)",
category="api node/video/Runway",
category="video/partner/Runway",
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: "
@ -234,7 +234,7 @@ class RunwayImageToVideoNodeGen4(IO.ComfyNode):
return IO.Schema(
node_id="RunwayImageToVideoNodeGen4",
display_name="Runway Image to Video (Gen4 Turbo)",
category="api node/video/Runway",
category="video/partner/Runway",
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: "
@ -329,7 +329,7 @@ class RunwayFirstLastFrameNode(IO.ComfyNode):
return IO.Schema(
node_id="RunwayFirstLastFrameNode",
display_name="Runway First-Last-Frame to Video",
category="api node/video/Runway",
category="video/partner/Runway",
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. "
@ -440,7 +440,7 @@ class RunwayTextToImageNode(IO.ComfyNode):
return IO.Schema(
node_id="RunwayTextToImageNode",
display_name="Runway Text to Image",
category="api node/image/Runway",
category="image/partner/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.",
inputs=[

4
comfy_api_nodes/nodes_sonilo.py
View File

@ -34,7 +34,7 @@ class SoniloVideoToMusic(IO.ComfyNode):
return IO.Schema(
node_id="SoniloVideoToMusic",
display_name="Sonilo Video to Music",
category="api node/audio/Sonilo",
category="audio/partner/Sonilo",
description="Generate music from video content using Sonilo's AI model. "
"Analyzes the video and creates matching music.",
inputs=[
@ -99,7 +99,7 @@ class SoniloTextToMusic(IO.ComfyNode):
return IO.Schema(
node_id="SoniloTextToMusic",
display_name="Sonilo Text to Music",
category="api node/audio/Sonilo",
category="audio/partner/Sonilo",
description="Generate music from a text prompt using Sonilo's AI model. "
"Leave duration at 0 to let the model infer it from the prompt.",
inputs=[

2
comfy_api_nodes/nodes_sora.py
View File

@ -34,7 +34,7 @@ class OpenAIVideoSora2(IO.ComfyNode):
return IO.Schema(
node_id="OpenAIVideoSora2",
display_name="OpenAI Sora - Video (DEPRECATED)",
category="api node/video/Sora",
category="video/partner/Sora",
description=(
"OpenAI video and audio generation.\n\n"
"DEPRECATION NOTICE: OpenAI will stop serving the Sora v2 API in September 2026. "

16
comfy_api_nodes/nodes_stability.py
View File

@ -62,7 +62,7 @@ class StabilityStableImageUltraNode(IO.ComfyNode):
return IO.Schema(
node_id="StabilityStableImageUltraNode",
display_name="Stability AI Stable Image Ultra",
category="api node/image/Stability AI",
category="image/partner/Stability AI",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.String.Input(
@ -197,7 +197,7 @@ class StabilityStableImageSD_3_5Node(IO.ComfyNode):
return IO.Schema(
node_id="StabilityStableImageSD_3_5Node",
display_name="Stability AI Stable Diffusion 3.5 Image",
category="api node/image/Stability AI",
category="image/partner/Stability AI",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.String.Input(
@ -354,7 +354,7 @@ class StabilityUpscaleConservativeNode(IO.ComfyNode):
return IO.Schema(
node_id="StabilityUpscaleConservativeNode",
display_name="Stability AI Upscale Conservative",
category="api node/image/Stability AI",
category="image/partner/Stability AI",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.Image.Input("image"),
@ -457,7 +457,7 @@ class StabilityUpscaleCreativeNode(IO.ComfyNode):
return IO.Schema(
node_id="StabilityUpscaleCreativeNode",
display_name="Stability AI Upscale Creative",
category="api node/image/Stability AI",
category="image/partner/Stability AI",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.Image.Input("image"),
@ -578,7 +578,7 @@ class StabilityUpscaleFastNode(IO.ComfyNode):
return IO.Schema(
node_id="StabilityUpscaleFastNode",
display_name="Stability AI Upscale Fast",
category="api node/image/Stability AI",
category="image/partner/Stability AI",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.Image.Input("image"),
@ -630,7 +630,7 @@ class StabilityTextToAudio(IO.ComfyNode):
return IO.Schema(
node_id="StabilityTextToAudio",
display_name="Stability AI Text To Audio",
category="api node/audio/Stability AI",
category="audio/partner/Stability AI",
essentials_category="Audio",
description=cleandoc(cls.__doc__ or ""),
inputs=[
@ -708,7 +708,7 @@ class StabilityAudioToAudio(IO.ComfyNode):
return IO.Schema(
node_id="StabilityAudioToAudio",
display_name="Stability AI Audio To Audio",
category="api node/audio/Stability AI",
category="audio/partner/Stability AI",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.Combo.Input(
@ -802,7 +802,7 @@ class StabilityAudioInpaint(IO.ComfyNode):
return IO.Schema(
node_id="StabilityAudioInpaint",
display_name="Stability AI Audio Inpaint",
category="api node/audio/Stability AI",
category="audio/partner/Stability AI",
description=cleandoc(cls.__doc__ or ""),
inputs=[
IO.Combo.Input(

6
comfy_api_nodes/nodes_topaz.py
View File

@ -52,7 +52,7 @@ class TopazImageEnhance(IO.ComfyNode):
return IO.Schema(
node_id="TopazImageEnhance",
display_name="Topaz Image Enhance",
category="api node/image/Topaz",
category="image/partner/Topaz",
description="Industry-standard upscaling and image enhancement.",
inputs=[
IO.Combo.Input("model", options=["Reimagine"]),
@ -235,7 +235,7 @@ class TopazVideoEnhance(IO.ComfyNode):
return IO.Schema(
node_id="TopazVideoEnhance",
display_name="Topaz Video Enhance (Legacy)",
category="api node/video/Topaz",
category="video/partner/Topaz",
description="Breathe new life into video with powerful upscaling and recovery technology.",
inputs=[
IO.Video.Input("video"),
@ -475,7 +475,7 @@ class TopazVideoEnhanceV2(IO.ComfyNode):
return IO.Schema(
node_id="TopazVideoEnhanceV2",
display_name="Topaz Video Enhance",
category="api node/video/Topaz",
category="video/partner/Topaz",
description="Breathe new life into video with powerful upscaling and recovery technology.",
inputs=[
IO.Video.Input("video"),

16
comfy_api_nodes/nodes_tripo.py
View File

@ -80,7 +80,7 @@ class TripoTextToModelNode(IO.ComfyNode):
return IO.Schema(
node_id="TripoTextToModelNode",
display_name="Tripo: Text to Model",
category="api node/3d/Tripo",
category="3d/partner/Tripo",
inputs=[
IO.String.Input("prompt", multiline=True),
IO.String.Input("negative_prompt", multiline=True, optional=True),
@ -195,7 +195,7 @@ class TripoImageToModelNode(IO.ComfyNode):
return IO.Schema(
node_id="TripoImageToModelNode",
display_name="Tripo: Image to Model",
category="api node/3d/Tripo",
category="3d/partner/Tripo",
inputs=[
IO.Image.Input("image"),
IO.Combo.Input(
@ -323,7 +323,7 @@ class TripoMultiviewToModelNode(IO.ComfyNode):
return IO.Schema(
node_id="TripoMultiviewToModelNode",
display_name="Tripo: Multiview to Model",
category="api node/3d/Tripo",
category="3d/partner/Tripo",
inputs=[
IO.Image.Input("image"),
IO.Image.Input("image_left", optional=True),
@ -461,7 +461,7 @@ class TripoTextureNode(IO.ComfyNode):
return IO.Schema(
node_id="TripoTextureNode",
display_name="Tripo: Texture model",
category="api node/3d/Tripo",
category="3d/partner/Tripo",
inputs=[
IO.Custom("MODEL_TASK_ID").Input("model_task_id"),
IO.Boolean.Input("texture", default=True, optional=True),
@ -528,7 +528,7 @@ class TripoRefineNode(IO.ComfyNode):
return IO.Schema(
node_id="TripoRefineNode",
display_name="Tripo: Refine Draft model",
category="api node/3d/Tripo",
category="3d/partner/Tripo",
description="Refine a draft model created by v1.4 Tripo models only.",
inputs=[
IO.Custom("MODEL_TASK_ID").Input("model_task_id", tooltip="Must be a v1.4 Tripo model"),
@ -568,7 +568,7 @@ class TripoRigNode(IO.ComfyNode):
return IO.Schema(
node_id="TripoRigNode",
display_name="Tripo: Rig model",
category="api node/3d/Tripo",
category="3d/partner/Tripo",
inputs=[IO.Custom("MODEL_TASK_ID").Input("original_model_task_id")],
outputs=[
IO.String.Output(display_name="model_file"), # for backward compatibility only
@ -605,7 +605,7 @@ class TripoRetargetNode(IO.ComfyNode):
return IO.Schema(
node_id="TripoRetargetNode",
display_name="Tripo: Retarget rigged model",
category="api node/3d/Tripo",
category="3d/partner/Tripo",
inputs=[
IO.Custom("RIG_TASK_ID").Input("original_model_task_id"),
IO.Combo.Input(
@ -670,7 +670,7 @@ class TripoConversionNode(IO.ComfyNode):
return IO.Schema(
node_id="TripoConversionNode",
display_name="Tripo: Convert model",
category="api node/3d/Tripo",
category="3d/partner/Tripo",
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"]),

6
comfy_api_nodes/nodes_veo2.py
View File

@ -45,7 +45,7 @@ class VeoVideoGenerationNode(IO.ComfyNode):
return IO.Schema(
node_id="VeoVideoGenerationNode",
display_name="Google Veo 2 Video Generation",
category="api node/video/Veo",
category="video/partner/Veo",
description="Generates videos from text prompts using Google's Veo 2 API",
inputs=[
IO.String.Input(
@ -256,7 +256,7 @@ class Veo3VideoGenerationNode(IO.ComfyNode):
return IO.Schema(
node_id="Veo3VideoGenerationNode",
display_name="Google Veo 3 Video Generation",
category="api node/video/Veo",
category="video/partner/Veo",
description="Generates videos from text prompts using Google's Veo 3 API",
inputs=[
IO.String.Input(
@ -468,7 +468,7 @@ class Veo3FirstLastFrameNode(IO.ComfyNode):
return IO.Schema(
node_id="Veo3FirstLastFrameNode",
display_name="Google Veo 3 First-Last-Frame to Video",
category="api node/video/Veo",
category="video/partner/Veo",
description="Generate video using prompt and first and last frames.",
inputs=[
IO.String.Input(

26
comfy_api_nodes/nodes_vidu.py
View File

@ -71,7 +71,7 @@ class ViduTextToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="ViduTextToVideoNode",
display_name="Vidu Text To Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate video from a text prompt",
inputs=[
IO.Combo.Input("model", options=["viduq1"], tooltip="Model name"),
@ -169,7 +169,7 @@ class ViduImageToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="ViduImageToVideoNode",
display_name="Vidu Image To Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate video from image and optional prompt",
inputs=[
IO.Combo.Input("model", options=["viduq1"], tooltip="Model name"),
@ -273,7 +273,7 @@ class ViduReferenceVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="ViduReferenceVideoNode",
display_name="Vidu Reference To Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate video from multiple images and a prompt",
inputs=[
IO.Combo.Input("model", options=["viduq1"], tooltip="Model name"),
@ -388,7 +388,7 @@ class ViduStartEndToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="ViduStartEndToVideoNode",
display_name="Vidu Start End To Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate a video from start and end frames and a prompt",
inputs=[
IO.Combo.Input("model", options=["viduq1"], tooltip="Model name"),
@ -492,7 +492,7 @@ class Vidu2TextToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="Vidu2TextToVideoNode",
display_name="Vidu2 Text-to-Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate video from a text prompt",
inputs=[
IO.Combo.Input("model", options=["viduq2"]),
@ -584,7 +584,7 @@ class Vidu2ImageToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="Vidu2ImageToVideoNode",
display_name="Vidu2 Image-to-Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate a video from an image and an optional prompt.",
inputs=[
IO.Combo.Input("model", options=["viduq2-pro-fast", "viduq2-pro", "viduq2-turbo"]),
@ -714,7 +714,7 @@ class Vidu2ReferenceVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="Vidu2ReferenceVideoNode",
display_name="Vidu2 Reference-to-Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate a video from multiple reference images and a prompt.",
inputs=[
IO.Combo.Input("model", options=["viduq2"]),
@ -849,7 +849,7 @@ class Vidu2StartEndToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="Vidu2StartEndToVideoNode",
display_name="Vidu2 Start/End Frame-to-Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate a video from a start frame, an end frame, and a prompt.",
inputs=[
IO.Combo.Input("model", options=["viduq2-pro-fast", "viduq2-pro", "viduq2-turbo"]),
@ -969,7 +969,7 @@ class ViduExtendVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="ViduExtendVideoNode",
display_name="Vidu Video Extension",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Extend an existing video by generating additional frames.",
inputs=[
IO.DynamicCombo.Input(
@ -1138,7 +1138,7 @@ class ViduMultiFrameVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="ViduMultiFrameVideoNode",
display_name="Vidu Multi-Frame Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate a video with multiple keyframe transitions.",
inputs=[
IO.Combo.Input("model", options=["viduq2-pro", "viduq2-turbo"]),
@ -1284,7 +1284,7 @@ class Vidu3TextToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="Vidu3TextToVideoNode",
display_name="Vidu Q3 Text-to-Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate video from a text prompt.",
inputs=[
IO.DynamicCombo.Input(
@ -1429,7 +1429,7 @@ class Vidu3ImageToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="Vidu3ImageToVideoNode",
display_name="Vidu Q3 Image-to-Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate a video from an image and an optional prompt.",
inputs=[
IO.DynamicCombo.Input(
@ -1571,7 +1571,7 @@ class Vidu3StartEndToVideoNode(IO.ComfyNode):
return IO.Schema(
node_id="Vidu3StartEndToVideoNode",
display_name="Vidu Q3 Start/End Frame-to-Video Generation",
category="api node/video/Vidu",
category="video/partner/Vidu",
description="Generate a video from a start frame, an end frame, and a prompt.",
inputs=[
IO.DynamicCombo.Input(

28
comfy_api_nodes/nodes_wan.py
View File

@ -61,7 +61,7 @@ class WanTextToImageApi(IO.ComfyNode):
return IO.Schema(
node_id="WanTextToImageApi",
display_name="Wan Text to Image",
category="api node/image/Wan",
category="image/partner/Wan",
description="Generates an image based on a text prompt.",
inputs=[
IO.Combo.Input(
@ -184,7 +184,7 @@ class WanImageToImageApi(IO.ComfyNode):
return IO.Schema(
node_id="WanImageToImageApi",
display_name="Wan Image to Image",
category="api node/image/Wan",
category="image/partner/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).",
inputs=[
@ -312,7 +312,7 @@ class WanTextToVideoApi(IO.ComfyNode):
return IO.Schema(
node_id="WanTextToVideoApi",
display_name="Wan Text to Video",
category="api node/video/Wan",
category="video/partner/Wan",
description="Generates a video based on a text prompt.",
inputs=[
IO.Combo.Input(
@ -495,7 +495,7 @@ class WanImageToVideoApi(IO.ComfyNode):
return IO.Schema(
node_id="WanImageToVideoApi",
display_name="Wan Image to Video",
category="api node/video/Wan",
category="video/partner/Wan",
description="Generates a video from the first frame and a text prompt.",
inputs=[
IO.Combo.Input(
@ -674,7 +674,7 @@ class WanReferenceVideoApi(IO.ComfyNode):
return IO.Schema(
node_id="WanReferenceVideoApi",
display_name="Wan Reference to Video",
category="api node/video/Wan",
category="video/partner/Wan",
description="Use the character and voice from input videos, combined with a prompt, "
"to generate a new video that maintains character consistency.",
inputs=[
@ -828,7 +828,7 @@ class Wan2TextToVideoApi(IO.ComfyNode):
return IO.Schema(
node_id="Wan2TextToVideoApi",
display_name="Wan 2.7 Text to Video",
category="api node/video/Wan",
category="video/partner/Wan",
description="Generates a video based on a text prompt using the Wan 2.7 model.",
inputs=[
IO.DynamicCombo.Input(
@ -981,7 +981,7 @@ class Wan2ImageToVideoApi(IO.ComfyNode):
return IO.Schema(
node_id="Wan2ImageToVideoApi",
display_name="Wan 2.7 Image to Video",
category="api node/video/Wan",
category="video/partner/Wan",
description="Generate a video from a first-frame image, with optional last-frame image and audio.",
inputs=[
IO.DynamicCombo.Input(
@ -1152,7 +1152,7 @@ class Wan2VideoContinuationApi(IO.ComfyNode):
return IO.Schema(
node_id="Wan2VideoContinuationApi",
display_name="Wan 2.7 Video Continuation",
category="api node/video/Wan",
category="video/partner/Wan",
description="Continue a video from where it left off, with optional last-frame control.",
inputs=[
IO.DynamicCombo.Input(
@ -1319,7 +1319,7 @@ class Wan2VideoEditApi(IO.ComfyNode):
return IO.Schema(
node_id="Wan2VideoEditApi",
display_name="Wan 2.7 Video Edit",
category="api node/video/Wan",
category="video/partner/Wan",
description="Edit a video using text instructions, reference images, or style transfer.",
inputs=[
IO.DynamicCombo.Input(
@ -1477,7 +1477,7 @@ class Wan2ReferenceVideoApi(IO.ComfyNode):
return IO.Schema(
node_id="Wan2ReferenceVideoApi",
display_name="Wan 2.7 Reference to Video",
category="api node/video/Wan",
category="video/partner/Wan",
description="Generate a video featuring a person or object from reference materials. "
"Supports single-character performances and multi-character interactions.",
inputs=[
@ -1651,7 +1651,7 @@ class HappyHorseTextToVideoApi(IO.ComfyNode):
return IO.Schema(
node_id="HappyHorseTextToVideoApi",
display_name="HappyHorse Text to Video",
category="api node/video/Wan",
category="video/partner/Wan",
description="Generates a video based on a text prompt using the HappyHorse model.",
inputs=[
IO.DynamicCombo.Input(
@ -1775,7 +1775,7 @@ class HappyHorseImageToVideoApi(IO.ComfyNode):
return IO.Schema(
node_id="HappyHorseImageToVideoApi",
display_name="HappyHorse Image to Video",
category="api node/video/Wan",
category="video/partner/Wan",
description="Generate a video from a first-frame image using the HappyHorse model.",
inputs=[
IO.DynamicCombo.Input(
@ -1905,7 +1905,7 @@ class HappyHorseVideoEditApi(IO.ComfyNode):
return IO.Schema(
node_id="HappyHorseVideoEditApi",
display_name="HappyHorse Video Edit",
category="api node/video/Wan",
category="video/partner/Wan",
description="Edit a video using text instructions or reference images with the HappyHorse model. "
"Output duration is 3-15s and matches the input video; inputs longer than 15s are truncated.",
inputs=[
@ -2046,7 +2046,7 @@ class HappyHorseReferenceVideoApi(IO.ComfyNode):
return IO.Schema(
node_id="HappyHorseReferenceVideoApi",
display_name="HappyHorse Reference to Video",
category="api node/video/Wan",
category="video/partner/Wan",
description="Generate a video featuring a person or object from reference materials with the HappyHorse "
"model. Supports single-character performances and multi-character interactions.",
inputs=[

4
comfy_api_nodes/nodes_wavespeed.py
View File

@ -27,7 +27,7 @@ class WavespeedFlashVSRNode(IO.ComfyNode):
return IO.Schema(
node_id="WavespeedFlashVSRNode",
display_name="FlashVSR Video Upscale",
category="api node/video/WaveSpeed",
category="video/partner/WaveSpeed",
description="Fast, high-quality video upscaler that "
"boosts resolution and restores clarity for low-resolution or blurry footage.",
inputs=[
@ -98,7 +98,7 @@ class WavespeedImageUpscaleNode(IO.ComfyNode):
return IO.Schema(
node_id="WavespeedImageUpscaleNode",
display_name="WaveSpeed Image Upscale",
category="api node/image/WaveSpeed",
category="image/partner/WaveSpeed",
description="Boost image resolution and quality, upscaling photos to 4K or 8K for sharp, detailed results.",
inputs=[
IO.Combo.Input("model", options=["SeedVR2", "Ultimate"]),

8
comfy_extras/nodes_ace.py
View File

@ -11,7 +11,7 @@ class TextEncodeAceStepAudio(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="TextEncodeAceStepAudio",
category="conditioning",
category="model/conditioning",
inputs=[
IO.Clip.Input("clip"),
IO.String.Input("tags", multiline=True, dynamic_prompts=True),
@ -33,7 +33,7 @@ class TextEncodeAceStepAudio15(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="TextEncodeAceStepAudio1.5",
category="conditioning",
category="model/conditioning",
inputs=[
IO.Clip.Input("clip"),
IO.String.Input("tags", multiline=True, dynamic_prompts=True),
@ -67,7 +67,7 @@ class EmptyAceStepLatentAudio(IO.ComfyNode):
return IO.Schema(
node_id="EmptyAceStepLatentAudio",
display_name="Empty Ace Step 1.0 Latent Audio",
category="latent/audio",
category="model/latent/audio",
inputs=[
IO.Float.Input("seconds", default=120.0, min=1.0, max=1000.0, step=0.1),
IO.Int.Input(
@ -90,7 +90,7 @@ class EmptyAceStep15LatentAudio(IO.ComfyNode):
return IO.Schema(
node_id="EmptyAceStep1.5LatentAudio",
display_name="Empty Ace Step 1.5 Latent Audio",
category="latent/audio",
category="model/latent/audio",
inputs=[
IO.Float.Input("seconds", default=120.0, min=1.0, max=1000.0, step=0.01),
IO.Int.Input(

4
comfy_extras/nodes_advanced_samplers.py
View File

@ -45,7 +45,7 @@ class SamplerLCMUpscale(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="SamplerLCMUpscale",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Float.Input("scale_ratio", default=1.0, min=0.1, max=20.0, step=0.01, advanced=True),
io.Int.Input("scale_steps", default=-1, min=-1, max=1000, step=1, advanced=True),
@ -91,7 +91,7 @@ class SamplerLCM(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="SamplerLCM",
category="sampling/samplers",
category="model/sampling/samplers",
description=("LCM sampler with tunable per-step noise. s_noise is a multiplier on the model's training noise scale"),
inputs=[
io.Float.Input("s_noise", default=1.0, min=0.0, max=64.0, step=0.01,

2
comfy_extras/nodes_align_your_steps.py
View File

@ -29,7 +29,7 @@ class AlignYourStepsScheduler(io.ComfyNode):
return io.Schema(
node_id="AlignYourStepsScheduler",
search_aliases=["AYS scheduler"],
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Combo.Input("model_type", options=["SD1", "SDXL", "SVD"]),
io.Int.Input("steps", default=10, min=1, max=10000),

2
comfy_extras/nodes_apg.py
View File

@ -16,7 +16,7 @@ class APG(io.ComfyNode):
return io.Schema(
node_id="APG",
display_name="Adaptive Projected Guidance",
category="sampling/custom_sampling",
category="model/sampling/custom_sampling",
inputs=[
io.Model.Input("model"),
io.Float.Input(

6
comfy_extras/nodes_ar_video.py
View File

@ -19,7 +19,7 @@ class EmptyARVideoLatent(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="EmptyARVideoLatent",
category="latent/video",
category="model/latent/video",
inputs=[
io.Int.Input("width", default=832, min=16, max=8192, step=16),
io.Int.Input("height", default=480, min=16, max=8192, step=16),
@ -53,7 +53,7 @@ class SamplerARVideo(io.ComfyNode):
return io.Schema(
node_id="SamplerARVideo",
display_name="Sampler AR Video",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Int.Input(
"num_frame_per_block",
@ -85,7 +85,7 @@ class ARVideoI2V(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="ARVideoI2V",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Model.Input("model"),
io.Vae.Input("vae"),

10
comfy_extras/nodes_audio.py
View File

@ -16,7 +16,7 @@ class EmptyLatentAudio(IO.ComfyNode):
return IO.Schema(
node_id="EmptyLatentAudio",
display_name="Empty Latent Audio",
category="latent/audio",
category="model/latent/audio",
essentials_category="Audio",
inputs=[
IO.Float.Input("seconds", default=47.6, min=1.0, max=1000.0, step=0.1),
@ -41,7 +41,7 @@ class ConditioningStableAudio(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="ConditioningStableAudio",
category="conditioning",
category="model/conditioning",
inputs=[
IO.Conditioning.Input("positive"),
IO.Conditioning.Input("negative"),
@ -70,7 +70,7 @@ class VAEEncodeAudio(IO.ComfyNode):
node_id="VAEEncodeAudio",
search_aliases=["audio to latent"],
display_name="VAE Encode Audio",
category="latent/audio",
category="model/latent/audio",
inputs=[
IO.Audio.Input("audio"),
IO.Vae.Input("vae"),
@ -115,7 +115,7 @@ class VAEDecodeAudio(IO.ComfyNode):
node_id="VAEDecodeAudio",
search_aliases=["latent to audio"],
display_name="VAE Decode Audio",
category="latent/audio",
category="model/latent/audio",
inputs=[
IO.Latent.Input("samples"),
IO.Vae.Input("vae"),
@ -137,7 +137,7 @@ class VAEDecodeAudioTiled(IO.ComfyNode):
node_id="VAEDecodeAudioTiled",
search_aliases=["latent to audio"],
display_name="VAE Decode Audio (Tiled)",
category="latent/audio",
category="model/latent/audio",
inputs=[
IO.Latent.Input("samples"),
IO.Vae.Input("vae"),

4
comfy_extras/nodes_audio_encoder.py
View File

@ -11,7 +11,7 @@ class AudioEncoderLoader(io.ComfyNode):
return io.Schema(
node_id="AudioEncoderLoader",
display_name="Load Audio Encoder",
category="loaders",
category="model/loaders",
inputs=[
io.Combo.Input(
"audio_encoder_name",
@ -36,7 +36,7 @@ class AudioEncoderEncode(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="AudioEncoderEncode",
category="conditioning",
category="model/conditioning",
inputs=[
io.AudioEncoder.Input("audio_encoder"),
io.Audio.Input("audio"),

2
comfy_extras/nodes_bg_removal.py
View File

@ -11,7 +11,7 @@ class LoadBackgroundRemovalModel(IO.ComfyNode):
return IO.Schema(
node_id="LoadBackgroundRemovalModel",
display_name="Load Background Removal Model",
category="loaders",
category="model/loaders",
inputs=[
IO.Combo.Input("bg_removal_name", options=sorted(files), tooltip="The model used to remove backgrounds from images"),
],

2
comfy_extras/nodes_camera_trajectory.py
View File

@ -153,7 +153,7 @@ class WanCameraEmbedding(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="WanCameraEmbedding",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Combo.Input(
"camera_pose",

4
comfy_extras/nodes_chroma_radiance.py
View File

@ -13,7 +13,7 @@ class EmptyChromaRadianceLatentImage(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="EmptyChromaRadianceLatentImage",
category="latent/chroma_radiance",
category="model/latent/chroma_radiance",
inputs=[
io.Int.Input(id="width", default=1024, min=16, max=nodes.MAX_RESOLUTION, step=16),
io.Int.Input(id="height", default=1024, min=16, max=nodes.MAX_RESOLUTION, step=16),
@ -33,7 +33,7 @@ class ChromaRadianceOptions(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="ChromaRadianceOptions",
category="model_patches/chroma_radiance",
category="model/patch/chroma_radiance",
description="Allows setting advanced options for the Chroma Radiance model.",
inputs=[
io.Model.Input(id="model"),

2
comfy_extras/nodes_color.py
View File

@ -8,7 +8,7 @@ class ColorToRGBInt(io.ComfyNode):
return io.Schema(
node_id="ColorToRGBInt",
display_name="Color to RGB Int",
category="utils",
category="utilities",
description="Convert a color to a RGB integer value.",
inputs=[
io.Color.Input("color"),

2
comfy_extras/nodes_context_windows.py
View File

@ -9,7 +9,7 @@ class ContextWindowsManualNode(io.ComfyNode):
return io.Schema(
node_id="ContextWindowsManual",
display_name="Context Windows (Manual)",
category="model_patches",
category="model/patch",
description="Manually set context windows.",
inputs=[
io.Model.Input("model", tooltip="The model to apply context windows to during sampling."),

4
comfy_extras/nodes_controlnet.py
View File

@ -9,7 +9,7 @@ class SetUnionControlNetType(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SetUnionControlNetType",
category="conditioning/controlnet",
category="model/conditioning/controlnet",
inputs=[
io.ControlNet.Input("control_net"),
io.Combo.Input("type", options=["auto"] + list(UNION_CONTROLNET_TYPES.keys())),
@ -39,7 +39,7 @@ class ControlNetInpaintingAliMamaApply(io.ComfyNode):
return io.Schema(
node_id="ControlNetInpaintingAliMamaApply",
search_aliases=["masked controlnet"],
category="conditioning/controlnet",
category="model/conditioning/controlnet",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),

6
comfy_extras/nodes_cosmos.py
View File

@ -13,7 +13,7 @@ class EmptyCosmosLatentVideo(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="EmptyCosmosLatentVideo",
category="latent/video",
category="model/latent/video",
inputs=[
io.Int.Input("width", default=1280, min=16, max=nodes.MAX_RESOLUTION, step=16),
io.Int.Input("height", default=704, min=16, max=nodes.MAX_RESOLUTION, step=16),
@ -45,7 +45,7 @@ class CosmosImageToVideoLatent(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="CosmosImageToVideoLatent",
category="conditioning/inpaint",
category="model/conditioning/inpaint",
inputs=[
io.Vae.Input("vae"),
io.Int.Input("width", default=1280, min=16, max=nodes.MAX_RESOLUTION, step=16),
@ -88,7 +88,7 @@ class CosmosPredict2ImageToVideoLatent(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="CosmosPredict2ImageToVideoLatent",
category="conditioning/inpaint",
category="model/conditioning/inpaint",
inputs=[
io.Vae.Input("vae"),
io.Int.Input("width", default=848, min=16, max=nodes.MAX_RESOLUTION, step=16),

4
comfy_extras/nodes_curve.py
View File

@ -11,7 +11,7 @@ class CurveEditor(io.ComfyNode):
return io.Schema(
node_id="CurveEditor",
display_name="Curve Editor",
category="utils",
category="utilities",
inputs=[
io.Curve.Input("curve"),
io.Histogram.Input("histogram", optional=True),
@ -38,7 +38,7 @@ class ImageHistogram(io.ComfyNode):
return io.Schema(
node_id="ImageHistogram",
display_name="Image Histogram",
category="utils",
category="utilities",
inputs=[
io.Image.Input("image"),
],

66
comfy_extras/nodes_custom_sampler.py
View File

@ -17,7 +17,7 @@ class BasicScheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="BasicScheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Model.Input("model"),
io.Combo.Input("scheduler", options=comfy.samplers.SCHEDULER_NAMES),
@ -47,7 +47,7 @@ class KarrasScheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="KarrasScheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Int.Input("steps", default=20, min=1, max=10000),
io.Float.Input("sigma_max", default=14.614642, min=0.0, max=5000.0, step=0.01, round=False, advanced=True),
@ -69,7 +69,7 @@ class ExponentialScheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="ExponentialScheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Int.Input("steps", default=20, min=1, max=10000),
io.Float.Input("sigma_max", default=14.614642, min=0.0, max=5000.0, step=0.01, round=False, advanced=True),
@ -90,7 +90,7 @@ class PolyexponentialScheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="PolyexponentialScheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Int.Input("steps", default=20, min=1, max=10000),
io.Float.Input("sigma_max", default=14.614642, min=0.0, max=5000.0, step=0.01, round=False, advanced=True),
@ -112,7 +112,7 @@ class LaplaceScheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LaplaceScheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Int.Input("steps", default=20, min=1, max=10000),
io.Float.Input("sigma_max", default=14.614642, min=0.0, max=5000.0, step=0.01, round=False, advanced=True),
@ -136,7 +136,7 @@ class SDTurboScheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SDTurboScheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Model.Input("model"),
io.Int.Input("steps", default=1, min=1, max=10),
@ -160,7 +160,7 @@ class BetaSamplingScheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="BetaSamplingScheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Model.Input("model"),
io.Int.Input("steps", default=20, min=1, max=10000),
@ -182,7 +182,7 @@ class VPScheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="VPScheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Int.Input("steps", default=20, min=1, max=10000),
io.Float.Input("beta_d", default=19.9, min=0.0, max=5000.0, step=0.01, round=False, advanced=True), #TODO: fix default values
@ -204,7 +204,7 @@ class SplitSigmas(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SplitSigmas",
category="sampling/sigmas",
category="model/sampling/sigmas",
inputs=[
io.Sigmas.Input("sigmas"),
io.Int.Input("step", default=0, min=0, max=10000),
@ -228,7 +228,7 @@ class SplitSigmasDenoise(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SplitSigmasDenoise",
category="sampling/sigmas",
category="model/sampling/sigmas",
inputs=[
io.Sigmas.Input("sigmas"),
io.Float.Input("denoise", default=1.0, min=0.0, max=1.0, step=0.01),
@ -254,7 +254,7 @@ class FlipSigmas(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="FlipSigmas",
category="sampling/sigmas",
category="model/sampling/sigmas",
inputs=[io.Sigmas.Input("sigmas")],
outputs=[io.Sigmas.Output()]
)
@ -276,7 +276,7 @@ class SetFirstSigma(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SetFirstSigma",
category="sampling/sigmas",
category="model/sampling/sigmas",
inputs=[
io.Sigmas.Input("sigmas"),
io.Float.Input("sigma", default=136.0, min=0.0, max=20000.0, step=0.001, round=False),
@ -298,7 +298,7 @@ class ExtendIntermediateSigmas(io.ComfyNode):
return io.Schema(
node_id="ExtendIntermediateSigmas",
search_aliases=["interpolate sigmas"],
category="sampling/sigmas",
category="model/sampling/sigmas",
inputs=[
io.Sigmas.Input("sigmas"),
io.Int.Input("steps", default=2, min=1, max=100),
@ -351,7 +351,7 @@ class SamplingPercentToSigma(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SamplingPercentToSigma",
category="sampling/sigmas",
category="model/sampling/sigmas",
inputs=[
io.Model.Input("model"),
io.Float.Input("sampling_percent", default=0.0, min=0.0, max=1.0, step=0.0001),
@ -379,7 +379,7 @@ class KSamplerSelect(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="KSamplerSelect",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[io.Combo.Input("sampler_name", options=comfy.samplers.SAMPLER_NAMES)],
outputs=[io.Sampler.Output()]
)
@ -396,7 +396,7 @@ class SamplerDPMPP_3M_SDE(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SamplerDPMPP_3M_SDE",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Float.Input("eta", default=1.0, min=0.0, max=100.0, step=0.01, round=False, advanced=True),
io.Float.Input("s_noise", default=1.0, min=0.0, max=100.0, step=0.01, round=False, advanced=True),
@ -421,7 +421,7 @@ class SamplerDPMPP_2M_SDE(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SamplerDPMPP_2M_SDE",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Combo.Input("solver_type", options=['midpoint', 'heun']),
io.Float.Input("eta", default=1.0, min=0.0, max=100.0, step=0.01, round=False, advanced=True),
@ -448,7 +448,7 @@ class SamplerDPMPP_SDE(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SamplerDPMPP_SDE",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Float.Input("eta", default=1.0, min=0.0, max=100.0, step=0.01, round=False, advanced=True),
io.Float.Input("s_noise", default=1.0, min=0.0, max=100.0, step=0.01, round=False, advanced=True),
@ -474,7 +474,7 @@ class SamplerDPMPP_2S_Ancestral(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SamplerDPMPP_2S_Ancestral",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Float.Input("eta", default=1.0, min=0.0, max=100.0, step=0.01, round=False),
io.Float.Input("s_noise", default=1.0, min=0.0, max=100.0, step=0.01, round=False),
@ -494,7 +494,7 @@ class SamplerEulerAncestral(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SamplerEulerAncestral",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Float.Input("eta", default=1.0, min=0.0, max=100.0, step=0.01, round=False, advanced=True),
io.Float.Input("s_noise", default=1.0, min=0.0, max=100.0, step=0.01, round=False, advanced=True),
@ -515,7 +515,7 @@ class SamplerEulerAncestralCFGPP(io.ComfyNode):
return io.Schema(
node_id="SamplerEulerAncestralCFGPP",
display_name="SamplerEulerAncestralCFG++",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Float.Input("eta", default=1.0, min=0.0, max=1.0, step=0.01, round=False),
io.Float.Input("s_noise", default=1.0, min=0.0, max=10.0, step=0.01, round=False),
@ -537,7 +537,7 @@ class SamplerLMS(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SamplerLMS",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[io.Int.Input("order", default=4, min=1, max=100, advanced=True)],
outputs=[io.Sampler.Output()]
)
@ -554,7 +554,7 @@ class SamplerDPMAdaptative(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SamplerDPMAdaptative",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Int.Input("order", default=3, min=2, max=3, advanced=True),
io.Float.Input("rtol", default=0.05, min=0.0, max=100.0, step=0.01, round=False, advanced=True),
@ -585,7 +585,7 @@ class SamplerER_SDE(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SamplerER_SDE",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Combo.Input("solver_type", options=["ER-SDE", "Reverse-time SDE", "ODE"]),
io.Int.Input("max_stage", default=3, min=1, max=3, advanced=True),
@ -623,7 +623,7 @@ class SamplerSASolver(io.ComfyNode):
return io.Schema(
node_id="SamplerSASolver",
search_aliases=["sde"],
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Model.Input("model"),
io.Float.Input("eta", default=1.0, min=0.0, max=10.0, step=0.01, round=False, advanced=True),
@ -668,7 +668,7 @@ class SamplerSEEDS2(io.ComfyNode):
return io.Schema(
node_id="SamplerSEEDS2",
search_aliases=["sde", "exp heun"],
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[
io.Combo.Input("solver_type", options=["phi_1", "phi_2"]),
io.Float.Input("eta", default=1.0, min=0.0, max=100.0, step=0.01, round=False, tooltip="Stochastic strength", advanced=True),
@ -727,7 +727,7 @@ class SamplerCustom(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SamplerCustom",
category="sampling/custom_sampling",
category="model/sampling/custom_sampling",
inputs=[
io.Model.Input("model"),
io.Boolean.Input("add_noise", default=True, advanced=True),
@ -795,7 +795,7 @@ class BasicGuider(io.ComfyNode):
return io.Schema(
node_id="BasicGuider",
display_name="Basic Guider",
category="sampling/guiders",
category="model/sampling/guiders",
inputs=[
io.Model.Input("model"),
io.Conditioning.Input("conditioning"),
@ -817,7 +817,7 @@ class CFGGuider(io.ComfyNode):
return io.Schema(
node_id="CFGGuider",
display_name="CFG Guider",
category="sampling/guiders",
category="model/sampling/guiders",
inputs=[
io.Model.Input("model"),
io.Conditioning.Input("positive"),
@ -872,7 +872,7 @@ class DualCFGGuider(io.ComfyNode):
node_id="DualCFGGuider",
search_aliases=["dual prompt guidance"],
display_name="Dual CFG Guider",
category="sampling/guiders",
category="model/sampling/guiders",
inputs=[
io.Model.Input("model"),
io.Conditioning.Input("cond1"),
@ -900,7 +900,7 @@ class DisableNoise(io.ComfyNode):
return io.Schema(
node_id="DisableNoise",
search_aliases=["zero noise"],
category="sampling/noise",
category="model/sampling/noise",
inputs=[],
outputs=[io.Noise.Output()]
)
@ -917,7 +917,7 @@ class RandomNoise(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="RandomNoise",
category="sampling/noise",
category="model/sampling/noise",
inputs=[io.Int.Input("noise_seed", default=0, min=0, max=0xffffffffffffffff, control_after_generate=True)],
outputs=[io.Noise.Output()]
)
@ -934,7 +934,7 @@ class SamplerCustomAdvanced(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SamplerCustomAdvanced",
category="sampling/custom_sampling",
category="model/sampling/custom_sampling",
inputs=[
io.Noise.Input("noise"),
io.Guider.Input("guider"),

10
comfy_extras/nodes_dataset.py
View File

@ -574,7 +574,7 @@ class TextProcessingNode(io.ComfyNode):
return io.Schema(
node_id=cls.node_id,
display_name=cls.display_name or cls.node_id,
category="dataset/text",
category="text",
is_experimental=True,
is_input_list=is_group, # True for group, False for individual
inputs=inputs,
@ -1208,7 +1208,7 @@ class ResolutionBucket(io.ComfyNode):
node_id="ResolutionBucket",
search_aliases=["bucket by resolution", "group by resolution", "batch by resolution"],
display_name="Resolution Bucket",
category="training",
category="model/training",
description="Group latents and conditionings into buckets",
is_experimental=True,
is_input_list=True,
@ -1302,7 +1302,7 @@ class MakeTrainingDataset(io.ComfyNode):
node_id="MakeTrainingDataset",
search_aliases=["encode dataset"],
display_name="Make Training Dataset",
category="training",
category="model/training",
description="Encode images with VAE and texts with CLIP to create a training dataset of latents and conditionings.",
is_experimental=True,
is_input_list=True, # images and texts as lists
@ -1390,7 +1390,7 @@ class SaveTrainingDataset(io.ComfyNode):
node_id="SaveTrainingDataset",
search_aliases=["export dataset", "save dataset"],
display_name="Save Training Dataset",
category="training",
category="model/training",
description="Save encoded training dataset (latents + conditioning) to disk for efficient loading during training.",
is_experimental=True,
is_output_node=True,
@ -1493,7 +1493,7 @@ class LoadTrainingDataset(io.ComfyNode):
node_id="LoadTrainingDataset",
search_aliases=["import dataset", "training data"],
display_name="Load Training Dataset",
category="training",
category="model/training",
description="Load encoded training dataset (latents + conditioning) from disk for use in training.",
is_experimental=True,
inputs=[

4
comfy_extras/nodes_eps.py
View File

@ -18,7 +18,7 @@ class EpsilonScaling(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="Epsilon Scaling",
category="model_patches/unet",
category="model/patch/unet",
inputs=[
io.Model.Input("model"),
io.Float.Input(
@ -84,7 +84,7 @@ class TemporalScoreRescaling(io.ComfyNode):
return io.Schema(
node_id="TemporalScoreRescaling",
display_name="TSR - Temporal Score Rescaling",
category="model_patches/unet",
category="model/patch/unet",
inputs=[
io.Model.Input("model"),
io.Float.Input(

4
comfy_extras/nodes_flux.py
View File

@ -40,7 +40,7 @@ class EmptyFlux2LatentImage(io.ComfyNode):
return io.Schema(
node_id="EmptyFlux2LatentImage",
display_name="Empty Flux 2 Latent",
category="latent",
category="model/latent",
inputs=[
io.Int.Input("width", default=1024, min=16, max=nodes.MAX_RESOLUTION, step=16),
io.Int.Input("height", default=1024, min=16, max=nodes.MAX_RESOLUTION, step=16),
@ -215,7 +215,7 @@ class Flux2Scheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="Flux2Scheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Int.Input("steps", default=20, min=1, max=4096),
io.Int.Input("width", default=1024, min=16, max=nodes.MAX_RESOLUTION, step=1),

2
comfy_extras/nodes_frame_interpolation.py
View File

@ -19,7 +19,7 @@ class FrameInterpolationModelLoader(io.ComfyNode):
return io.Schema(
node_id="FrameInterpolationModelLoader",
display_name="Load Frame Interpolation Model",
category="loaders",
category="model/loaders",
inputs=[
io.Combo.Input("model_name", options=folder_paths.get_filename_list("frame_interpolation"),
tooltip="Select a frame interpolation model to load. Models must be placed in the 'frame_interpolation' folder."),

4
comfy_extras/nodes_freelunch.py
View File

@ -29,7 +29,7 @@ class FreeU(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="FreeU",
category="model_patches/unet",
category="model/patch/unet",
inputs=[
IO.Model.Input("model"),
IO.Float.Input("b1", default=1.1, min=0.0, max=10.0, step=0.01, advanced=True),
@ -76,7 +76,7 @@ class FreeU_V2(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="FreeU_V2",
category="model_patches/unet",
category="model/patch/unet",
inputs=[
IO.Model.Input("model"),
IO.Float.Input("b1", default=1.3, min=0.0, max=10.0, step=0.01, advanced=True),

2
comfy_extras/nodes_gits.py
View File

@ -340,7 +340,7 @@ class GITSScheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="GITSScheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Float.Input("coeff", default=1.20, min=0.80, max=1.50, step=0.05, advanced=True),
io.Int.Input("steps", default=10, min=2, max=1000),

4
comfy_extras/nodes_hidream_o1.py
View File

@ -14,7 +14,7 @@ class EmptyHiDreamO1LatentImage(io.ComfyNode):
return io.Schema(
node_id="EmptyHiDreamO1LatentImage",
display_name="Empty HiDream-O1 Latent Image",
category="latent/image",
category="model/latent/image",
description=(
"Empty pixel-space latent for HiDream-O1-Image. The model was "
"trained at ~4 megapixels; lower resolutions go off-distribution "
@ -47,7 +47,7 @@ class HiDreamO1ReferenceImages(io.ComfyNode):
return io.Schema(
node_id="HiDreamO1ReferenceImages",
display_name="HiDream-O1 Reference Images",
category="conditioning/image",
category="model/conditioning/image",
description=(
"Attach 1-10 reference images to conditioning, one for edit instruction"
"or multiple for subject-driven personalization."

16
comfy_extras/nodes_hunyuan.py
View File

@ -41,7 +41,7 @@ class EmptyHunyuanLatentVideo(io.ComfyNode):
return io.Schema(
node_id="EmptyHunyuanLatentVideo",
display_name="Empty HunyuanVideo 1.0 Latent",
category="latent/video",
category="model/latent/video",
inputs=[
io.Int.Input("width", default=848, min=16, max=nodes.MAX_RESOLUTION, step=16),
io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16),
@ -81,7 +81,7 @@ class HunyuanVideo15ImageToVideo(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="HunyuanVideo15ImageToVideo",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),
@ -132,7 +132,7 @@ class HunyuanVideo15SuperResolution(io.ComfyNode):
return io.Schema(
node_id="HunyuanVideo15SuperResolution",
display_name="Hunyuan Video 1.5 Super Resolution",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),
@ -178,7 +178,7 @@ class LatentUpscaleModelLoader(io.ComfyNode):
return io.Schema(
node_id="LatentUpscaleModelLoader",
display_name="Load Latent Upscale Model",
category="loaders",
category="model/loaders",
inputs=[
io.Combo.Input("model_name", options=folder_paths.get_filename_list("latent_upscale_models")),
],
@ -227,7 +227,7 @@ class HunyuanVideo15LatentUpscaleWithModel(io.ComfyNode):
return io.Schema(
node_id="HunyuanVideo15LatentUpscaleWithModel",
display_name="Hunyuan Video 15 Latent Upscale With Model",
category="latent",
category="model/latent",
inputs=[
io.LatentUpscaleModel.Input("model"),
io.Latent.Input("samples"),
@ -308,7 +308,7 @@ class HunyuanImageToVideo(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="HunyuanImageToVideo",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Conditioning.Input("positive"),
io.Vae.Input("vae"),
@ -359,7 +359,7 @@ class EmptyHunyuanImageLatent(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="EmptyHunyuanImageLatent",
category="latent",
category="model/latent",
inputs=[
io.Int.Input("width", default=2048, min=64, max=nodes.MAX_RESOLUTION, step=32),
io.Int.Input("height", default=2048, min=64, max=nodes.MAX_RESOLUTION, step=32),
@ -384,7 +384,7 @@ class HunyuanRefinerLatent(io.ComfyNode):
return io.Schema(
node_id="HunyuanRefinerLatent",
display_name="Hunyuan Latent Refiner",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),

8
comfy_extras/nodes_hunyuan3d.py
View File

@ -12,7 +12,7 @@ class EmptyLatentHunyuan3Dv2(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="EmptyLatentHunyuan3Dv2",
category="latent/3d",
category="model/latent/3d",
inputs=[
IO.Int.Input("resolution", default=3072, min=1, max=8192),
IO.Int.Input("batch_size", default=1, min=1, max=4096, tooltip="The number of latent images in the batch."),
@ -35,7 +35,7 @@ class Hunyuan3Dv2Conditioning(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="Hunyuan3Dv2Conditioning",
category="conditioning/3d_models",
category="model/conditioning/3d_models",
inputs=[
IO.ClipVisionOutput.Input("clip_vision_output"),
],
@ -60,7 +60,7 @@ class Hunyuan3Dv2ConditioningMultiView(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="Hunyuan3Dv2ConditioningMultiView",
category="conditioning/3d_models",
category="model/conditioning/3d_models",
inputs=[
IO.ClipVisionOutput.Input("front", optional=True),
IO.ClipVisionOutput.Input("left", optional=True),
@ -97,7 +97,7 @@ class VAEDecodeHunyuan3D(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="VAEDecodeHunyuan3D",
category="latent/3d",
category="model/latent/3d",
inputs=[
IO.Latent.Input("samples"),
IO.Vae.Input("vae"),

2
comfy_extras/nodes_hypernetwork.py
View File

@ -103,7 +103,7 @@ class HypernetworkLoader(IO.ComfyNode):
return IO.Schema(
node_id="HypernetworkLoader",
display_name="Load Hypernetwork",
category="loaders",
category="model/loaders",
inputs=[
IO.Model.Input("model"),
IO.Combo.Input("hypernetwork_name", options=folder_paths.get_filename_list("hypernetworks")),

2
comfy_extras/nodes_hypertile.py
View File

@ -27,7 +27,7 @@ class HyperTile(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="HyperTile",
category="model_patches/unet",
category="model/patch/unet",
inputs=[
io.Model.Input("model"),
io.Int.Input("tile_size", default=256, min=1, max=2048, advanced=True),

2
comfy_extras/nodes_images.py
View File

@ -95,7 +95,7 @@ class BoundingBox(IO.ComfyNode):
return IO.Schema(
node_id="PrimitiveBoundingBox",
display_name="Bounding Box",
category="utils/primitive",
category="utilities/primitive",
inputs=[
IO.Int.Input("x", default=0, min=0, max=MAX_RESOLUTION),
IO.Int.Input("y", default=0, min=0, max=MAX_RESOLUTION),

2
comfy_extras/nodes_ip2p.py
View File

@ -9,7 +9,7 @@ class InstructPixToPixConditioning(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="InstructPixToPixConditioning",
category="conditioning/instructpix2pix",
category="model/conditioning/instructpix2pix",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),

4
comfy_extras/nodes_kandinsky5.py
View File

@ -13,7 +13,7 @@ class Kandinsky5ImageToVideo(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="Kandinsky5ImageToVideo",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),
@ -71,7 +71,7 @@ class NormalizeVideoLatentStart(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="NormalizeVideoLatentStart",
category="conditioning/video_models",
category="model/conditioning/video_models",
description="Normalizes the initial frames of a video latent to match the mean and standard deviation of subsequent reference frames. Helps reduce differences between the starting frames and the rest of the video.",
inputs=[
io.Latent.Input("latent"),

28
comfy_extras/nodes_latent.py
View File

@ -22,7 +22,7 @@ class LatentAdd(io.ComfyNode):
return io.Schema(
node_id="LatentAdd",
search_aliases=["combine latents", "sum latents"],
category="latent/advanced",
category="model/latent/advanced",
inputs=[
io.Latent.Input("samples1"),
io.Latent.Input("samples2"),
@ -49,7 +49,7 @@ class LatentSubtract(io.ComfyNode):
return io.Schema(
node_id="LatentSubtract",
search_aliases=["difference latent", "remove features"],
category="latent/advanced",
category="model/latent/advanced",
inputs=[
io.Latent.Input("samples1"),
io.Latent.Input("samples2"),
@ -76,7 +76,7 @@ class LatentMultiply(io.ComfyNode):
return io.Schema(
node_id="LatentMultiply",
search_aliases=["scale latent", "amplify latent", "latent gain"],
category="latent/advanced",
category="model/latent/advanced",
inputs=[
io.Latent.Input("samples"),
io.Float.Input("multiplier", default=1.0, min=-10.0, max=10.0, step=0.01),
@ -100,7 +100,7 @@ class LatentInterpolate(io.ComfyNode):
return io.Schema(
node_id="LatentInterpolate",
search_aliases=["blend latent", "mix latent", "lerp latent", "transition"],
category="latent/advanced",
category="model/latent/advanced",
inputs=[
io.Latent.Input("samples1"),
io.Latent.Input("samples2"),
@ -139,7 +139,7 @@ class LatentConcat(io.ComfyNode):
return io.Schema(
node_id="LatentConcat",
search_aliases=["join latents", "stitch latents"],
category="latent/advanced",
category="model/latent/advanced",
inputs=[
io.Latent.Input("samples1"),
io.Latent.Input("samples2"),
@ -179,7 +179,7 @@ class LatentCut(io.ComfyNode):
return io.Schema(
node_id="LatentCut",
search_aliases=["crop latent", "slice latent", "extract region"],
category="latent/advanced",
category="model/latent/advanced",
inputs=[
io.Latent.Input("samples"),
io.Combo.Input("dim", options=["x", "y", "t"]),
@ -220,7 +220,7 @@ class LatentCutToBatch(io.ComfyNode):
return io.Schema(
node_id="LatentCutToBatch",
search_aliases=["slice to batch", "split latent", "tile latent"],
category="latent/advanced",
category="model/latent/advanced",
inputs=[
io.Latent.Input("samples"),
io.Combo.Input("dim", options=["t", "x", "y"]),
@ -262,7 +262,7 @@ class LatentBatch(io.ComfyNode):
return io.Schema(
node_id="LatentBatch",
search_aliases=["combine latents", "merge latents", "join latents"],
category="latent/batch",
category="model/latent/batch",
is_deprecated=True,
inputs=[
io.Latent.Input("samples1"),
@ -290,7 +290,7 @@ class LatentBatchSeedBehavior(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LatentBatchSeedBehavior",
category="latent/advanced",
category="model/latent/advanced",
inputs=[
io.Latent.Input("samples"),
io.Combo.Input("seed_behavior", options=["random", "fixed"], default="fixed"),
@ -319,7 +319,7 @@ class LatentApplyOperation(io.ComfyNode):
return io.Schema(
node_id="LatentApplyOperation",
search_aliases=["transform latent"],
category="latent/advanced/operations",
category="model/latent/advanced/operations",
is_experimental=True,
inputs=[
io.Latent.Input("samples"),
@ -343,7 +343,7 @@ class LatentApplyOperationCFG(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LatentApplyOperationCFG",
category="latent/advanced/operations",
category="model/latent/advanced/operations",
is_experimental=True,
inputs=[
io.Model.Input("model"),
@ -375,7 +375,7 @@ class LatentOperationTonemapReinhard(io.ComfyNode):
return io.Schema(
node_id="LatentOperationTonemapReinhard",
search_aliases=["hdr latent"],
category="latent/advanced/operations",
category="model/latent/advanced/operations",
is_experimental=True,
inputs=[
io.Float.Input("multiplier", default=1.0, min=0.0, max=100.0, step=0.01),
@ -410,7 +410,7 @@ class LatentOperationSharpen(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LatentOperationSharpen",
category="latent/advanced/operations",
category="model/latent/advanced/operations",
is_experimental=True,
inputs=[
io.Int.Input("sharpen_radius", default=9, min=1, max=31, step=1, advanced=True),
@ -447,7 +447,7 @@ class ReplaceVideoLatentFrames(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="ReplaceVideoLatentFrames",
category="latent/batch",
category="model/latent/batch",
inputs=[
io.Latent.Input("destination", tooltip="The destination latent where frames will be replaced."),
io.Latent.Input("source", optional=True, tooltip="The source latent providing frames to insert into the destination latent. If not provided, the destination latent is returned unchanged."),

24
comfy_extras/nodes_logic.py
View File

@ -13,7 +13,7 @@ class NotNode(io.ComfyNode):
return io.Schema(
node_id="ComfyNotNode",
display_name="Not",
category="utils/logic",
category="utilities/logic",
description="Logical NOT operation. Returns true if the value is falsy. Uses Python's rules for truthiness.",
search_aliases=["invert", "toggle", "negate", "flip boolean"],
inputs=[
@ -40,7 +40,7 @@ class AndNode(io.ComfyNode):
return io.Schema(
node_id="ComfyAndNode",
display_name="And",
category="utils/logic",
category="utilities/logic",
description="Logical AND operation. Returns true if all of the values are truthy. Uses Python's rules for truthiness.",
search_aliases=["all", "every"],
inputs=[
@ -67,7 +67,7 @@ class OrNode(io.ComfyNode):
return io.Schema(
node_id="ComfyOrNode",
display_name="Or",
category="utils/logic",
category="utilities/logic",
description="Logical OR operation. Returns true if any of the values are truthy. Uses Python's rules for truthiness.",
search_aliases=["any", "some"],
inputs=[
@ -90,7 +90,7 @@ class SwitchNode(io.ComfyNode):
return io.Schema(
node_id="ComfySwitchNode",
display_name="Switch",
category="utils/logic",
category="utilities/logic",
is_experimental=True,
inputs=[
io.Boolean.Input("switch"),
@ -121,7 +121,7 @@ class SoftSwitchNode(io.ComfyNode):
return io.Schema(
node_id="ComfySoftSwitchNode",
display_name="Soft Switch",
category="utils/logic",
category="utilities/logic",
is_experimental=True,
inputs=[
io.Boolean.Input("switch"),
@ -176,7 +176,7 @@ class CustomComboNode(io.ComfyNode):
return io.Schema(
node_id="CustomCombo",
display_name="Custom Combo",
category="utils",
category="utilities",
is_experimental=True,
inputs=[io.Combo.Input("choice", options=[])],
outputs=[
@ -211,7 +211,7 @@ class DCTestNode(io.ComfyNode):
return io.Schema(
node_id="DCTestNode",
display_name="DCTest",
category="utils/logic",
category="utilities/logic",
is_output_node=True,
inputs=[io.DynamicCombo.Input("combo", options=[
io.DynamicCombo.Option("option1", [io.String.Input("string")]),
@ -249,7 +249,7 @@ class AutogrowNamesTestNode(io.ComfyNode):
return io.Schema(
node_id="AutogrowNamesTestNode",
display_name="AutogrowNamesTest",
category="utils/logic",
category="utilities/logic",
inputs=[
_io.Autogrow.Input("autogrow", template=template)
],
@ -269,7 +269,7 @@ class AutogrowPrefixTestNode(io.ComfyNode):
return io.Schema(
node_id="AutogrowPrefixTestNode",
display_name="AutogrowPrefixTest",
category="utils/logic",
category="utilities/logic",
inputs=[
_io.Autogrow.Input("autogrow", template=template)
],
@ -288,7 +288,7 @@ class ComboOutputTestNode(io.ComfyNode):
return io.Schema(
node_id="ComboOptionTestNode",
display_name="ComboOptionTest",
category="utils/logic",
category="utilities/logic",
inputs=[io.Combo.Input("combo", options=["option1", "option2", "option3"]),
io.Combo.Input("combo2", options=["option4", "option5", "option6"])],
outputs=[io.Combo.Output(), io.Combo.Output()],
@ -305,7 +305,7 @@ class ConvertStringToComboNode(io.ComfyNode):
node_id="ConvertStringToComboNode",
search_aliases=["string to dropdown", "text to combo"],
display_name="Convert String to Combo",
category="utils/logic",
category="utilities/logic",
inputs=[io.String.Input("string")],
outputs=[io.Combo.Output()],
)
@ -321,7 +321,7 @@ class InvertBooleanNode(io.ComfyNode):
node_id="InvertBooleanNode",
search_aliases=["not", "toggle", "negate", "flip boolean"],
display_name="Invert Boolean",
category="utils/logic",
category="utilities/logic",
inputs=[io.Boolean.Input("boolean")],
outputs=[io.Boolean.Output()],
)

2
comfy_extras/nodes_lora_debug.py
View File

@ -30,7 +30,7 @@ class LoraLoaderBypass:
OUTPUT_TOOLTIPS = ("The modified diffusion model.", "The modified CLIP model.")
FUNCTION = "load_lora"
CATEGORY = "loaders"
CATEGORY = "model/loaders"
DESCRIPTION = "Apply LoRA in bypass mode. Unlike regular LoRA, this doesn't modify model weights - instead it injects the LoRA computation during forward pass. Useful for training scenarios."
EXPERIMENTAL = True

2
comfy_extras/nodes_lotus.py
View File

@ -10,7 +10,7 @@ class LotusConditioning(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LotusConditioning",
category="conditioning/lotus",
category="model/conditioning/lotus",
inputs=[],
outputs=[io.Conditioning.Output(display_name="conditioning")],
)

22
comfy_extras/nodes_lt.py
View File

@ -25,7 +25,7 @@ class GetICLoRAParameters(io.ComfyNode):
display_name="Get IC-LoRA Parameters",
description="Extracts IC-LoRA parameters from the safetensors metadata of a LoRA-loaded "
"model and outputs them for LTXVAddGuide (eg. reference_downscale_factor).",
category="conditioning/video_models",
category="model/conditioning/video_models",
search_aliases=["ic-lora", "ic lora", "iclora", "downscale factor", "reference downscale"],
inputs=[
io.Model.Input(
@ -62,7 +62,7 @@ class EmptyLTXVLatentVideo(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="EmptyLTXVLatentVideo",
category="latent/video/ltxv",
category="model/latent/video/ltxv",
inputs=[
io.Int.Input("width", default=768, min=64, max=nodes.MAX_RESOLUTION, step=32),
io.Int.Input("height", default=512, min=64, max=nodes.MAX_RESOLUTION, step=32),
@ -86,7 +86,7 @@ class LTXVImgToVideo(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LTXVImgToVideo",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),
@ -131,7 +131,7 @@ class LTXVImgToVideoInplace(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LTXVImgToVideoInplace",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Vae.Input("vae"),
io.Image.Input("image"),
@ -251,7 +251,7 @@ class LTXVAddGuide(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LTXVAddGuide",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),
@ -498,7 +498,7 @@ class LTXVCropGuides(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LTXVCropGuides",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),
@ -542,7 +542,7 @@ class LTXVConditioning(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LTXVConditioning",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),
@ -611,7 +611,7 @@ class LTXVScheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LTXVScheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Int.Input("steps", default=20, min=1, max=10000),
io.Float.Input("max_shift", default=2.05, min=0.0, max=100.0, step=0.01),
@ -746,7 +746,7 @@ class LTXVConcatAVLatent(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LTXVConcatAVLatent",
category="latent/video/ltxv",
category="model/latent/video/ltxv",
inputs=[
io.Latent.Input("video_latent"),
io.Latent.Input("audio_latent"),
@ -781,7 +781,7 @@ class LTXVSeparateAVLatent(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LTXVSeparateAVLatent",
category="latent/video/ltxv",
category="model/latent/video/ltxv",
description="LTXV Separate AV Latent",
inputs=[
io.Latent.Input("av_latent"),
@ -814,7 +814,7 @@ class LTXVReferenceAudio(io.ComfyNode):
return io.Schema(
node_id="LTXVReferenceAudio",
display_name="LTXV Reference Audio (ID-LoRA)",
category="conditioning/audio",
category="model/conditioning/audio",
description="Set reference audio for ID-LoRA speaker identity transfer. Encodes a reference audio clip into the conditioning and optionally patches the model with identity guidance (extra forward pass without reference, amplifying the speaker identity effect).",
inputs=[
io.Model.Input("model"),

8
comfy_extras/nodes_lt_audio.py
View File

@ -12,7 +12,7 @@ class LTXVAudioVAELoader(io.ComfyNode):
return io.Schema(
node_id="LTXVAudioVAELoader",
display_name="Load LTXV Audio VAE",
category="loaders",
category="model/loaders",
inputs=[
io.Combo.Input(
"ckpt_name",
@ -40,7 +40,7 @@ class LTXVAudioVAEEncode(VAEEncodeAudio):
return io.Schema(
node_id="LTXVAudioVAEEncode",
display_name="LTXV Audio VAE Encode",
category="latent/audio",
category="model/latent/audio",
inputs=[
io.Audio.Input("audio", tooltip="The audio to be encoded."),
io.Vae.Input(
@ -63,7 +63,7 @@ class LTXVAudioVAEDecode(io.ComfyNode):
return io.Schema(
node_id="LTXVAudioVAEDecode",
display_name="LTXV Audio VAE Decode",
category="latent/audio",
category="model/latent/audio",
inputs=[
io.Latent.Input("samples", tooltip="The latent to be decoded."),
io.Vae.Input(
@ -96,7 +96,7 @@ class LTXVEmptyLatentAudio(io.ComfyNode):
return io.Schema(
node_id="LTXVEmptyLatentAudio",
display_name="LTXV Empty Latent Audio",
category="latent/audio",
category="model/latent/audio",
inputs=[
io.Int.Input(
"frames_number",

2
comfy_extras/nodes_lt_upsampler.py
View File

@ -13,7 +13,7 @@ class LTXVLatentUpsampler(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="LTXVLatentUpsampler",
category="latent/video",
category="model/latent/video",
is_experimental=True,
inputs=[
IO.Latent.Input("samples"),

2
comfy_extras/nodes_lumina2.py
View File

@ -81,7 +81,7 @@ class CLIPTextEncodeLumina2(io.ComfyNode):
node_id="CLIPTextEncodeLumina2",
search_aliases=["lumina prompt"],
display_name="CLIP Text Encode for Lumina2",
category="conditioning",
category="model/conditioning",
description="Encodes a system prompt and a user prompt using a CLIP model into an embedding "
"that can be used to guide the diffusion model towards generating specific images.",
inputs=[

2
comfy_extras/nodes_mask.py
View File

@ -53,7 +53,7 @@ class LatentCompositeMasked(IO.ComfyNode):
return IO.Schema(
node_id="LatentCompositeMasked",
search_aliases=["overlay latent", "layer latent", "paste latent", "inpaint latent"],
category="latent",
category="model/latent",
inputs=[
IO.Latent.Input("destination"),
IO.Latent.Input("source"),

2
comfy_extras/nodes_math.py
View File

@ -69,7 +69,7 @@ class MathExpressionNode(io.ComfyNode):
return io.Schema(
node_id="ComfyMathExpression",
display_name="Math Expression",
category="utils",
category="utilities",
search_aliases=[
"expression", "formula", "calculate", "calculator",
"eval", "math",

2
comfy_extras/nodes_mediapipe.py
View File

@ -205,7 +205,7 @@ class LoadMediaPipeFaceLandmarker(io.ComfyNode):
node_id="LoadMediaPipeFaceLandmarker",
search_aliases=["face", "facial", "mediapipe", "face landmark", "face mesh", "blazeface", "face detection"],
display_name="Load Face Detection Model (MediaPipe)",
category="loaders",
category="model/loaders",
inputs=[
io.Combo.Input("model_name", options=folder_paths.get_filename_list("detection"),
tooltip="Face detection model from models/detection/."),

2
comfy_extras/nodes_mochi.py
View File

@ -10,7 +10,7 @@ class EmptyMochiLatentVideo(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="EmptyMochiLatentVideo",
category="latent/video",
category="model/latent/video",
inputs=[
io.Int.Input("width", default=848, min=16, max=nodes.MAX_RESOLUTION, step=16),
io.Int.Input("height", default=480, min=16, max=nodes.MAX_RESOLUTION, step=16),

2
comfy_extras/nodes_model_downscale.py
View File

@ -10,7 +10,7 @@ class PatchModelAddDownscale(io.ComfyNode):
return io.Schema(
node_id="PatchModelAddDownscale",
display_name="PatchModelAddDownscale (Kohya Deep Shrink)",
category="model_patches/unet",
category="model/patch/unet",
inputs=[
io.Model.Input("model"),
io.Int.Input("block_number", default=3, min=1, max=32, step=1, advanced=True),

4
comfy_extras/nodes_model_patch.py
View File

@ -548,7 +548,7 @@ class USOStyleReference:
FUNCTION = "apply_patch"
EXPERIMENTAL = True
CATEGORY = "advanced/model_patches/flux"
CATEGORY = "model/patch/flux"
def apply_patch(self, model, model_patch, clip_vision_output):
encoded_image = torch.stack((clip_vision_output.all_hidden_states[:, -20], clip_vision_output.all_hidden_states[:, -11], clip_vision_output.penultimate_hidden_states))
@ -594,7 +594,7 @@ class SUPIRApply(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="SUPIRApply",
category="model_patches/supir",
category="model/patch/supir",
is_experimental=True,
inputs=[
io.Model.Input("model"),

10
comfy_extras/nodes_moge.py
View File

@ -78,7 +78,7 @@ class LoadMoGeModel(io.ComfyNode):
return io.Schema(
node_id="LoadMoGeModel",
display_name="Load MoGe Model",
category="loaders",
category="model/loaders",
inputs=[
io.Combo.Input("model_name", options=folder_paths.get_filename_list("geometry_estimation")),
],
@ -104,7 +104,7 @@ class MoGePanoramaInference(io.ComfyNode):
node_id="MoGePanoramaInference",
search_aliases=["moge", "panorama", "depth", "geometry", "depth estimation", "geometry estimation"],
display_name="Run MoGe Panorama Inference",
category="image/geometry_estimation",
category="image/geometry estimation",
description="Run MoGe on an equirectangular panorama by splitting it into 12 perspective views, running inference on each, and merging the results into a single depth map.",
inputs=[
MoGeModelType.Input("moge_model"),
@ -226,7 +226,7 @@ class MoGeInference(io.ComfyNode):
search_aliases=["moge", "depth", "geometry", "depth estimation", "geometry estimation"],
display_name="Run MoGe Inference",
description="Run MoGe on a single image to estimate depth and geometry.",
category="image/geometry_estimation",
category="image/geometry estimation",
inputs=[
MoGeModelType.Input("moge_model"),
io.Image.Input("image"),
@ -283,7 +283,7 @@ class MoGeRender(io.ComfyNode):
search_aliases=["moge", "render", "geometry", "depth", "normal"],
display_name="Render MoGe Geometry",
description="Render a depth map or normal map from geometry data",
category="image/geometry_estimation",
category="image/geometry estimation",
inputs=[
MoGeGeometry.Input("moge_geometry"),
io.Combo.Input("output", options=["depth", "depth_colored", "normal_opengl", "normal_directx", "mask"], default="depth",
@ -350,7 +350,7 @@ class MoGePointMapToMesh(io.ComfyNode):
search_aliases=["moge", "mesh", "geometry", "point map"],
display_name="Convert MoGe Point Map to Mesh",
description="Convert a MoGe point map into a 3D mesh.",
category="image/geometry_estimation",
category="image/geometry estimation",
inputs=[
MoGeGeometry.Input("moge_geometry"),
io.Int.Input("batch_index", default=0, min=0, max=4096,

2
comfy_extras/nodes_number_convert.py
View File

@ -20,7 +20,7 @@ class NumberConvertNode(io.ComfyNode):
return io.Schema(
node_id="ComfyNumberConvert",
display_name="Convert Number",
category="utils",
category="utilities",
search_aliases=[
"int to float", "float to int", "number convert",
"int2float", "float2int", "cast", "parse number",

2
comfy_extras/nodes_optimalsteps.py
View File

@ -31,7 +31,7 @@ class OptimalStepsScheduler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="OptimalStepsScheduler",
category="sampling/schedulers",
category="model/sampling/schedulers",
inputs=[
io.Combo.Input("model_type", options=["FLUX", "Wan", "Chroma"]),
io.Int.Input("steps", default=20, min=3, max=1000),

2
comfy_extras/nodes_pag.py
View File

@ -15,7 +15,7 @@ class PerturbedAttentionGuidance(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="PerturbedAttentionGuidance",
category="model_patches/unet",
category="model/patch/unet",
inputs=[
io.Model.Input("model"),
io.Float.Input("scale", default=3.0, min=0.0, max=100.0, step=0.01, round=0.01),

2
comfy_extras/nodes_post_processing.py
View File

@ -616,7 +616,7 @@ class BatchLatentsNode(io.ComfyNode):
node_id="BatchLatentsNode",
search_aliases=["combine latents", "stack latents", "merge latents"],
display_name="Batch Latents",
category="latent",
category="model/latent",
inputs=[
io.Autogrow.Input("latents", template=autogrow_template)
],

2
comfy_extras/nodes_preview_any.py
View File

@ -16,7 +16,7 @@ class PreviewAny():
FUNCTION = "main"
OUTPUT_NODE = True
CATEGORY = "utils"
CATEGORY = "utilities"
SEARCH_ALIASES = ["show output", "inspect", "debug", "print value", "show text"]
def main(self, source=None):

10
comfy_extras/nodes_primitive.py
View File

@ -11,7 +11,7 @@ class String(io.ComfyNode):
node_id="PrimitiveString",
search_aliases=["text", "string", "text box", "prompt"],
display_name="Text String",
category="utils/primitive",
category="utilities/primitive",
inputs=[
io.String.Input("value"),
],
@ -30,7 +30,7 @@ class StringMultiline(io.ComfyNode):
node_id="PrimitiveStringMultiline",
search_aliases=["text", "string", "text multiline", "string multiline", "text box", "prompt"],
display_name="Text String (Multiline)",
category="utils/primitive",
category="utilities/primitive",
essentials_category="Basics",
inputs=[
io.String.Input("value", multiline=True),
@ -49,7 +49,7 @@ class Int(io.ComfyNode):
return io.Schema(
node_id="PrimitiveInt",
display_name="Int",
category="utils/primitive",
category="utilities/primitive",
inputs=[
io.Int.Input("value", min=-sys.maxsize, max=sys.maxsize, control_after_generate=io.ControlAfterGenerate.fixed),
],
@ -67,7 +67,7 @@ class Float(io.ComfyNode):
return io.Schema(
node_id="PrimitiveFloat",
display_name="Float",
category="utils/primitive",
category="utilities/primitive",
inputs=[
io.Float.Input("value", min=-sys.maxsize, max=sys.maxsize, step=0.1),
],
@ -85,7 +85,7 @@ class Boolean(io.ComfyNode):
return io.Schema(
node_id="PrimitiveBoolean",
display_name="Boolean",
category="utils/primitive",
category="utilities/primitive",
inputs=[
io.Boolean.Input("value"),
],

2
comfy_extras/nodes_qwen.py
View File

@ -112,7 +112,7 @@ class EmptyQwenImageLayeredLatentImage(io.ComfyNode):
return io.Schema(
node_id="EmptyQwenImageLayeredLatentImage",
display_name="Empty Qwen Image Layered Latent",
category="latent/qwen",
category="model/latent/qwen",
inputs=[
io.Int.Input("width", default=640, min=16, max=nodes.MAX_RESOLUTION, step=16),
io.Int.Input("height", default=640, min=16, max=nodes.MAX_RESOLUTION, step=16),

2
comfy_extras/nodes_rebatch.py
View File

@ -10,7 +10,7 @@ class LatentRebatch(io.ComfyNode):
return io.Schema(
node_id="RebatchLatents",
display_name="Rebatch Latents",
category="latent/batch",
category="model/latent/batch",
is_input_list=True,
inputs=[
io.Latent.Input("latents"),

2
comfy_extras/nodes_resolution.py
View File

@ -35,7 +35,7 @@ class ResolutionSelector(io.ComfyNode):
return io.Schema(
node_id="ResolutionSelector",
display_name="Resolution Selector",
category="utils",
category="utilities",
description="Calculate width and height from aspect ratio and megapixel target. Useful for setting up Empty Latent Image dimensions.",
inputs=[
io.Combo.Input(

2
comfy_extras/nodes_rope.py
View File

@ -7,7 +7,7 @@ class ScaleROPE(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="ScaleROPE",
category="advanced/model_patches",
category="model/patch",
description="Scale and shift the ROPE of the model.",
is_experimental=True,
inputs=[

4
comfy_extras/nodes_sd3.py
View File

@ -41,7 +41,7 @@ class EmptySD3LatentImage(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="EmptySD3LatentImage",
category="latent/sd3",
category="model/latent/sd3",
inputs=[
io.Int.Input("width", default=1024, min=16, max=nodes.MAX_RESOLUTION, step=16),
io.Int.Input("height", default=1024, min=16, max=nodes.MAX_RESOLUTION, step=16),
@ -113,7 +113,7 @@ class ControlNetApplySD3(io.ComfyNode):
return io.Schema(
node_id="ControlNetApplySD3",
display_name="Apply Controlnet with VAE",
category="conditioning/controlnet",
category="model/conditioning/controlnet",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),

2
comfy_extras/nodes_sdupscale.py
View File

@ -9,7 +9,7 @@ class SD_4XUpscale_Conditioning(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SD_4XUpscale_Conditioning",
category="conditioning/upscale_diffusion",
category="model/conditioning/upscale_diffusion",
inputs=[
io.Image.Input("images"),
io.Conditioning.Input("positive"),

6
comfy_extras/nodes_stable3d.py
View File

@ -27,7 +27,7 @@ class StableZero123_Conditioning(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="StableZero123_Conditioning",
category="conditioning/3d_models",
category="model/conditioning/3d_models",
inputs=[
io.ClipVision.Input("clip_vision"),
io.Image.Input("init_image"),
@ -65,7 +65,7 @@ class StableZero123_Conditioning_Batched(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="StableZero123_Conditioning_Batched",
category="conditioning/3d_models",
category="model/conditioning/3d_models",
inputs=[
io.ClipVision.Input("clip_vision"),
io.Image.Input("init_image"),
@ -112,7 +112,7 @@ class SV3D_Conditioning(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SV3D_Conditioning",
category="conditioning/3d_models",
category="model/conditioning/3d_models",
inputs=[
io.ClipVision.Input("clip_vision"),
io.Image.Input("init_image"),

6
comfy_extras/nodes_stable_cascade.py
View File

@ -29,7 +29,7 @@ class StableCascade_EmptyLatentImage(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="StableCascade_EmptyLatentImage",
category="latent/stable_cascade",
category="model/latent/stable_cascade",
inputs=[
io.Int.Input("width", default=1024, min=256, max=nodes.MAX_RESOLUTION, step=8),
io.Int.Input("height", default=1024, min=256, max=nodes.MAX_RESOLUTION, step=8),
@ -58,7 +58,7 @@ class StableCascade_StageC_VAEEncode(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="StableCascade_StageC_VAEEncode",
category="latent/stable_cascade",
category="model/latent/stable_cascade",
inputs=[
io.Image.Input("image"),
io.Vae.Input("vae"),
@ -93,7 +93,7 @@ class StableCascade_StageB_Conditioning(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="StableCascade_StageB_Conditioning",
category="conditioning/stable_cascade",
category="model/conditioning/stable_cascade",
inputs=[
io.Conditioning.Input("conditioning"),
io.Latent.Input("stage_c"),

2
comfy_extras/nodes_tomesd.py
View File

@ -151,7 +151,7 @@ class TomePatchModel(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="TomePatchModel",
category="model_patches/unet",
category="model/patch/unet",
inputs=[
io.Model.Input("model"),
io.Float.Input("ratio", default=0.3, min=0.0, max=1.0, step=0.01),

2
comfy_extras/nodes_toolkit.py
View File

@ -13,7 +13,7 @@ class CreateList(io.ComfyNode):
return io.Schema(
node_id="CreateList",
display_name="Create List",
category="utils",
category="utilities",
is_input_list=True,
search_aliases=["Image Iterator", "Text Iterator", "Iterator"],
inputs=[io.Autogrow.Input("inputs", template=template_autogrow)],

6
comfy_extras/nodes_train.py
View File

@ -951,7 +951,7 @@ class TrainLoraNode(io.ComfyNode):
return io.Schema(
node_id="TrainLoraNode",
display_name="Train LoRA",
category="training",
category="model/training",
is_experimental=True,
is_input_list=True, # All inputs become lists
inputs=[
@ -1309,7 +1309,7 @@ class LoraModelLoader(io.ComfyNode):
return io.Schema(
node_id="LoraModelLoader",
display_name="Load LoRA Model",
category="loaders",
category="model/loaders",
is_experimental=True,
inputs=[
io.Model.Input(
@ -1405,7 +1405,7 @@ class LossGraphNode(io.ComfyNode):
node_id="LossGraphNode",
search_aliases=["training chart", "training visualization", "plot loss"],
display_name="Plot Loss Graph",
category="training",
category="model/training",
is_experimental=True,
is_output_node=True,
inputs=[

2
comfy_extras/nodes_upscale_model.py
View File

@ -22,7 +22,7 @@ class UpscaleModelLoader(io.ComfyNode):
return io.Schema(
node_id="UpscaleModelLoader",
display_name="Load Upscale Model",
category="loaders",
category="model/loaders",
inputs=[
io.Combo.Input("model_name", options=folder_paths.get_filename_list("upscale_models")),
],

10
comfy_extras/nodes_video_model.py
View File

@ -15,7 +15,7 @@ class ImageOnlyCheckpointLoader:
RETURN_TYPES = ("MODEL", "CLIP_VISION", "VAE")
FUNCTION = "load_checkpoint"
CATEGORY = "loaders"
CATEGORY = "model/loaders"
def load_checkpoint(self, ckpt_name, output_vae=True, output_clip=True):
ckpt_path = folder_paths.get_full_path_or_raise("checkpoints", ckpt_name)
@ -41,7 +41,7 @@ class SVD_img2vid_Conditioning:
FUNCTION = "encode"
CATEGORY = "conditioning/video_models"
CATEGORY = "model/conditioning/video_models"
def encode(self, clip_vision, init_image, vae, width, height, video_frames, motion_bucket_id, fps, augmentation_level):
output = clip_vision.encode_image(init_image)
@ -65,7 +65,7 @@ class VideoLinearCFGGuidance:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
CATEGORY = "sampling/guiders"
CATEGORY = "model/sampling/guiders"
def patch(self, model, min_cfg):
def linear_cfg(args):
@ -89,7 +89,7 @@ class VideoTriangleCFGGuidance:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
CATEGORY = "sampling/guiders"
CATEGORY = "model/sampling/guiders"
def patch(self, model, min_cfg):
def linear_cfg(args):
@ -138,7 +138,7 @@ class ConditioningSetAreaPercentageVideo:
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "append"
CATEGORY = "conditioning"
CATEGORY = "model/conditioning"
def append(self, conditioning, width, height, temporal, x, y, z, strength):
c = node_helpers.conditioning_set_values(conditioning, {"area": ("percentage", temporal, height, width, z, y, x),

10
comfy_extras/nodes_void.py
View File

@ -58,7 +58,7 @@ class OpticalFlowLoader(io.ComfyNode):
return io.Schema(
node_id="OpticalFlowLoader",
display_name="Load Optical Flow Model",
category="loaders",
category="model/loaders",
inputs=[
io.Combo.Input(
"model_name",
@ -175,7 +175,7 @@ class VOIDInpaintConditioning(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="VOIDInpaintConditioning",
category="conditioning/video_models",
category="model/conditioning/video_models",
inputs=[
io.Conditioning.Input("positive"),
io.Conditioning.Input("negative"),
@ -288,7 +288,7 @@ class VOIDWarpedNoise(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="VOIDWarpedNoise",
category="latent/video",
category="model/latent/video",
inputs=[
OpticalFlow.Input(
"optical_flow",
@ -393,7 +393,7 @@ class VOIDWarpedNoiseSource(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="VOIDWarpedNoiseSource",
category="sampling/noise",
category="model/sampling/noise",
inputs=[
io.Latent.Input("warped_noise",
tooltip="Warped noise latent from VOIDWarpedNoise"),
@ -455,7 +455,7 @@ class VOIDSampler(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="VOIDSampler",
category="sampling/samplers",
category="model/sampling/samplers",
inputs=[],
outputs=[io.Sampler.Output()],
)

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