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Code Issues Actions 14 Packages Projects Releases Wiki Activity

Various categories and node title updates

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This commit is contained in:
Alexis Rolland 2026-06-14 11:29:19 +08:00
parent 63781373ea
commit f57d84ab69
17 changed files with 62 additions and 43 deletions
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4
comfy_extras/nodes_ace.py
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@ -111,8 +111,8 @@ class ReferenceAudio(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="ReferenceTimbreAudio",
display_name="Reference Audio",
category="advanced/conditioning/audio",
display_name="Set Reference Audio",
category="model/conditioning",
is_experimental=True,
description="This node sets the reference audio for ace step 1.5",
inputs=[

6
comfy_extras/nodes_clip_sdxl.py
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@ -9,7 +9,8 @@ class CLIPTextEncodeSDXLRefiner(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodeSDXLRefiner",
category="advanced/conditioning",
display_name="CLIP Text Encode (SDXL Refiner)",
category="model/conditioning/stable diffusion",
inputs=[
io.Float.Input("ascore", default=6.0, min=0.0, max=1000.0, step=0.01),
io.Int.Input("width", default=1024, min=0, max=nodes.MAX_RESOLUTION),
@ -30,7 +31,8 @@ class CLIPTextEncodeSDXL(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodeSDXL",
category="advanced/conditioning",
display_name="CLIP Text Encode (SDXL)",
category="model/conditioning/stable diffusion",
inputs=[
io.Clip.Input("clip"),
io.Int.Input("width", default=1024, min=0, max=nodes.MAX_RESOLUTION),

3
comfy_extras/nodes_edit_model.py
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@ -8,7 +8,8 @@ class ReferenceLatent(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="ReferenceLatent",
category="advanced/conditioning/edit_models",
display_name="Set Reference Latent",
category="model/conditioning",
description="This node sets the guiding latent for an edit model. If the model supports it you can chain multiple to set multiple reference images.",
inputs=[
io.Conditioning.Input("conditioning"),

10
comfy_extras/nodes_flux.py
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@ -13,7 +13,7 @@ class CLIPTextEncodeFlux(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodeFlux",
category="advanced/conditioning/flux",
category="model/conditioning/flux",
inputs=[
io.Clip.Input("clip"),
io.String.Input("clip_l", multiline=True, dynamic_prompts=True),
@ -61,7 +61,7 @@ class FluxGuidance(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="FluxGuidance",
category="advanced/conditioning/flux",
category="model/conditioning/flux",
inputs=[
io.Conditioning.Input("conditioning"),
io.Float.Input("guidance", default=3.5, min=0.0, max=100.0, step=0.1),
@ -84,7 +84,7 @@ class FluxDisableGuidance(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="FluxDisableGuidance",
category="advanced/conditioning/flux",
category="model/conditioning/flux",
description="This node completely disables the guidance embed on Flux and Flux like models",
inputs=[
io.Conditioning.Input("conditioning"),
@ -128,7 +128,7 @@ class FluxKontextImageScale(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="FluxKontextImageScale",
category="advanced/conditioning/flux",
category="model/conditioning/flux",
description="This node resizes the image to one that is more optimal for flux kontext.",
inputs=[
io.Image.Input("image"),
@ -156,7 +156,7 @@ class FluxKontextMultiReferenceLatentMethod(io.ComfyNode):
return io.Schema(
node_id="FluxKontextMultiReferenceLatentMethod",
display_name="Edit Model Reference Method",
category="advanced/conditioning/flux",
category="model/conditioning/flux",
inputs=[
io.Conditioning.Input("conditioning"),
io.Combo.Input(

3
comfy_extras/nodes_hidream.py
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@ -38,8 +38,9 @@ class CLIPTextEncodeHiDream(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodeHiDream",
display_name="CLIP Text Encode (HiDream)",
search_aliases=["hidream prompt"],
category="advanced/conditioning",
category="model/conditioning/hidream",
inputs=[
io.Clip.Input("clip"),
io.String.Input("clip_l", multiline=True, dynamic_prompts=True),

5
comfy_extras/nodes_hunyuan.py
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@ -14,7 +14,8 @@ class CLIPTextEncodeHunyuanDiT(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodeHunyuanDiT",
category="advanced/conditioning",
display_name="CLIP Text Encode (Hunyuan Image)",
category="model/conditioning/hunyuan image",
inputs=[
io.Clip.Input("clip"),
io.String.Input("bert", multiline=True, dynamic_prompts=True),
@ -277,7 +278,7 @@ class TextEncodeHunyuanVideo_ImageToVideo(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="TextEncodeHunyuanVideo_ImageToVideo",
category="advanced/conditioning",
category="model/conditioning/hunyuan video",
inputs=[
io.Clip.Input("clip"),
io.ClipVisionOutput.Input("clip_vision_output"),

3
comfy_extras/nodes_kandinsky5.py
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@ -104,8 +104,9 @@ class CLIPTextEncodeKandinsky5(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodeKandinsky5",
display_name="CLIP Text Encode (Kandinsky 5)",
search_aliases=["kandinsky prompt"],
category="advanced/conditioning/kandinsky5",
category="model/conditioning/kandinsky",
inputs=[
io.Clip.Input("clip"),
io.String.Input("clip_l", multiline=True, dynamic_prompts=True),

4
comfy_extras/nodes_lumina2.py
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@ -80,8 +80,8 @@ class CLIPTextEncodeLumina2(io.ComfyNode):
return io.Schema(
node_id="CLIPTextEncodeLumina2",
search_aliases=["lumina prompt"],
display_name="CLIP Text Encode for Lumina2",
category="model/conditioning",
display_name="CLIP Text Encode (Lumina 2)",
category="model/conditioning/lumina",
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=[

10
comfy_extras/nodes_model_patch.py
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@ -479,7 +479,7 @@ class QwenImageDiffsynthControlnet:
FUNCTION = "diffsynth_controlnet"
EXPERIMENTAL = True
CATEGORY = "advanced/loaders/qwen"
CATEGORY = "model/patch/qwen"
def diffsynth_controlnet(self, model, model_patch, vae, image=None, strength=1.0, inpaint_image=None, mask=None):
model_patched = model.clone()
@ -675,3 +675,11 @@ NODE_CLASS_MAPPINGS = {
"USOStyleReference": USOStyleReference,
"SUPIRApply": SUPIRApply,
}
NODE_DISPLAY_NAMES = {
"ModelPatchLoader": "Load Model Patch",
"QwenImageDiffsynthControlnet": "Apply Qwen Image DiffSynth ControlNet",
"ZImageFunControlnet": "Apply Z-Image Fun ControlNet",
"USOStyleReference": "Apply USO Style Reference",
"SUPIRApply": "Apply SUPIR Patch",
}

6
comfy_extras/nodes_pid.py
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@ -14,10 +14,8 @@ class PiDConditioning(io.ComfyNode):
return io.Schema(
node_id="PiDConditioning",
display_name="PiD Conditioning",
category="advanced/conditioning",
description=(
"Attaches a latent and a degrade_sigma scalar to a CONDITIONING for PiD decoding/upscaling"
),
category="model/conditioning",
description=("Attaches a latent and a degrade_sigma scalar to a CONDITIONING for PiD decoding/upscaling"),
inputs=[
io.Conditioning.Input("positive"),
io.Latent.Input("latent", tooltip="latent (from VAEEncode or a KSampler)."),

3
comfy_extras/nodes_pixart.py
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@ -7,8 +7,9 @@ class CLIPTextEncodePixArtAlpha(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodePixArtAlpha",
display_name="CLIP Text Encode (PixArt Alpha)",
search_aliases=["pixart prompt"],
category="advanced/conditioning",
category="model/conditioning/pixart",
description="Encodes text and sets the resolution conditioning for PixArt Alpha. Does not apply to PixArt Sigma.",
inputs=[
io.Int.Input("width", default=1024, min=0, max=nodes.MAX_RESOLUTION),

4
comfy_extras/nodes_qwen.py
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@ -12,7 +12,7 @@ class TextEncodeQwenImageEdit(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="TextEncodeQwenImageEdit",
category="advanced/conditioning",
category="model/conditioning/qwen image",
inputs=[
io.Clip.Input("clip"),
io.String.Input("prompt", multiline=True, dynamic_prompts=True),
@ -55,7 +55,7 @@ class TextEncodeQwenImageEditPlus(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="TextEncodeQwenImageEditPlus",
category="advanced/conditioning",
category="model/conditioning/qwen image",
inputs=[
io.Clip.Input("clip"),
io.String.Input("prompt", multiline=True, dynamic_prompts=True),

3
comfy_extras/nodes_sd3.py
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@ -66,7 +66,8 @@ class CLIPTextEncodeSD3(io.ComfyNode):
return io.Schema(
node_id="CLIPTextEncodeSD3",
search_aliases=["sd3 prompt"],
category="advanced/conditioning",
display_name="CLIP Text Encode (SD3)",
category="model/conditioning/stable diffusion",
inputs=[
io.Clip.Input("clip"),
io.String.Input("clip_l", multiline=True, dynamic_prompts=True),

3
comfy_extras/nodes_video_model.py
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@ -138,7 +138,7 @@ class ConditioningSetAreaPercentageVideo:
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "append"
CATEGORY = "model/conditioning"
CATEGORY = "model/conditioning/transform"
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),
@ -160,4 +160,5 @@ NODE_DISPLAY_NAME_MAPPINGS = {
"ImageOnlyCheckpointLoader": "Load Checkpoint Image Only (img2vid model)",
"VideoLinearCFGGuidance": "Video Linear CFG Guidance",
"VideoTriangleCFGGuidance": "Video Triangle CFG Guidance",
"ConditioningSetAreaPercentageVideo": "Conditioning (Set Area with Percentage for Video)",
}

2
comfy_extras/nodes_void.py
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@ -393,7 +393,7 @@ class VOIDWarpedNoiseSource(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="VOIDWarpedNoiseSource",
category="model/sampling/void",
category="model/latent/void",
inputs=[
io.Latent.Input("warped_noise",
tooltip="Warped noise latent from VOIDWarpedNoise"),

2
comfy_extras/nodes_zimage.py
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@ -10,7 +10,7 @@ class TextEncodeZImageOmni(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="TextEncodeZImageOmni",
category="advanced/conditioning",
category="model/conditioning/z-image",
is_experimental=True,
inputs=[
io.Clip.Input("clip"),

34
nodes.py
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@ -87,7 +87,7 @@ class ConditioningCombine:
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "combine"
CATEGORY = "model/conditioning"
CATEGORY = "model/conditioning/transform"
SEARCH_ALIASES = ["combine", "merge conditioning", "combine prompts", "merge prompts", "mix prompts", "add prompt"]
def combine(self, conditioning_1, conditioning_2):
@ -104,7 +104,7 @@ class ConditioningAverage :
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "addWeighted"
CATEGORY = "model/conditioning"
CATEGORY = "model/conditioning/transform"
def addWeighted(self, conditioning_to, conditioning_from, conditioning_to_strength):
out = []
@ -143,7 +143,7 @@ class ConditioningConcat:
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "concat"
CATEGORY = "model/conditioning"
CATEGORY = "model/conditioning/transform"
def concat(self, conditioning_to, conditioning_from):
out = []
@ -176,7 +176,7 @@ class ConditioningSetArea:
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "append"
CATEGORY = "model/conditioning"
CATEGORY = "model/conditioning/transform"
def append(self, conditioning, width, height, x, y, strength):
c = node_helpers.conditioning_set_values(conditioning, {"area": (height // 8, width // 8, y // 8, x // 8),
@ -197,7 +197,7 @@ class ConditioningSetAreaPercentage:
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "append"
CATEGORY = "model/conditioning"
CATEGORY = "model/conditioning/transform"
def append(self, conditioning, width, height, x, y, strength):
c = node_helpers.conditioning_set_values(conditioning, {"area": ("percentage", height, width, y, x),
@ -214,7 +214,7 @@ class ConditioningSetAreaStrength:
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "append"
CATEGORY = "model/conditioning"
CATEGORY = "model/conditioning/transform"
def append(self, conditioning, strength):
c = node_helpers.conditioning_set_values(conditioning, {"strength": strength})
@ -234,7 +234,7 @@ class ConditioningSetMask:
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "append"
CATEGORY = "model/conditioning"
CATEGORY = "model/conditioning/transform"
def append(self, conditioning, mask, set_cond_area, strength):
set_area_to_bounds = False
@ -257,7 +257,7 @@ class ConditioningZeroOut:
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "zero_out"
CATEGORY = "advanced/conditioning"
CATEGORY = "model/conditioning"
def zero_out(self, conditioning):
c = []
@ -283,11 +283,10 @@ class ConditioningSetTimestepRange:
RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "set_range"
CATEGORY = "advanced/conditioning"
CATEGORY = "model/conditioning/transform"
def set_range(self, conditioning, start, end):
c = node_helpers.conditioning_set_values(conditioning, {"start_percent": start,
"end_percent": end})
c = node_helpers.conditioning_set_values(conditioning, {"start_percent": start, "end_percent": end})
return (c, )
class VAEDecode:
@ -576,7 +575,7 @@ class CheckpointLoader:
RETURN_TYPES = ("MODEL", "CLIP", "VAE")
FUNCTION = "load_checkpoint"
CATEGORY = "advanced/loaders"
CATEGORY = "model/loaders"
DEPRECATED = True
def load_checkpoint(self, config_name, ckpt_name):
@ -622,8 +621,9 @@ class DiffusersLoader:
return {"required": {"model_path": (paths,), }}
RETURN_TYPES = ("MODEL", "CLIP", "VAE")
FUNCTION = "load_checkpoint"
DEPRECATED = True
CATEGORY = "advanced/loaders/deprecated"
CATEGORY = "model/loaders"
def load_checkpoint(self, model_path, output_vae=True, output_clip=True):
for search_path in folder_paths.get_folder_paths("diffusers"):
@ -1005,7 +1005,7 @@ class DualCLIPLoader:
RETURN_TYPES = ("CLIP",)
FUNCTION = "load_clip"
CATEGORY = "advanced/loaders"
CATEGORY = "model/loaders"
DESCRIPTION = "[Recipes]\n\nsdxl: clip-l, clip-g\nsd3: clip-l, clip-g / clip-l, t5 / clip-g, t5\nflux: clip-l, t5\nhidream: at least one of t5 or llama, recommended t5 and llama\nhunyuan_image: qwen2.5vl 7b and byt5 small\nnewbie: gemma-3-4b-it, jina clip v2"
@ -2043,7 +2043,7 @@ NODE_CLASS_MAPPINGS = {
"ImageBatch": ImageBatch,
"ImagePadForOutpaint": ImagePadForOutpaint,
"EmptyImage": EmptyImage,
"ConditioningAverage": ConditioningAverage ,
"ConditioningAverage": ConditioningAverage,
"ConditioningCombine": ConditioningCombine,
"ConditioningConcat": ConditioningConcat,
"ConditioningSetArea": ConditioningSetArea,
@ -2106,6 +2106,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
"UNETLoader": "Load Diffusion Model",
"unCLIPCheckpointLoader": "Load unCLIP Checkpoint",
"GLIGENLoader": "Load GLIGEN Model",
"DiffusersLoader": "Load Diffusers Model (DEPRECATED)",
# Conditioning
"CLIPVisionEncode": "CLIP Vision Encode",
"StyleModelApply": "Apply Style Model",
@ -2113,13 +2114,16 @@ NODE_DISPLAY_NAME_MAPPINGS = {
"CLIPSetLastLayer": "CLIP Set Last Layer",
"ConditioningCombine": "Conditioning (Combine)",
"ConditioningAverage ": "Conditioning (Average)",
"ConditioningAverage": "Conditioning (Average)",
"ConditioningConcat": "Conditioning (Concat)",
"ConditioningSetArea": "Conditioning (Set Area)",
"ConditioningSetAreaPercentage": "Conditioning (Set Area with Percentage)",
"ConditioningSetAreaStrength": "Conditioning (Set Area Strength)",
"ConditioningSetMask": "Conditioning (Set Mask)",
"ControlNetApply": "Apply ControlNet (DEPRECATED)",
"ControlNetApplyAdvanced": "Apply ControlNet",
"GLIGENTextBoxApply": "Apply GLIGEN Text Box",
"ConditioningZeroOut": "Conditioning Zero Out",
# Latent
"VAEEncodeForInpaint": "VAE Encode (for Inpainting)",
"SetLatentNoiseMask": "Set Latent Noise Mask",