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chore: Update nodes categories (#14674)

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Alexis Rolland 2026-07-01 05:20:20 +08:00 committed by GitHub
parent b70944e710
commit 6e11828d10
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6 changed files with 21 additions and 16 deletions
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10
comfy_extras/nodes_cond.py
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@ -8,7 +8,8 @@ class CLIPTextEncodeControlnet(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="CLIPTextEncodeControlnet",
category="experimental/conditioning",
display_name="CLIP Text Encode (Controlnet)",
category="model/conditioning",
inputs=[
io.Clip.Input("clip"),
io.Conditioning.Input("conditioning"),
@ -35,11 +36,12 @@ class T5TokenizerOptions(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="T5TokenizerOptions",
category="experimental/conditioning",
display_name="T5 Tokenizer Options",
category="model/conditioning",
inputs=[
io.Clip.Input("clip"),
io.Int.Input("min_padding", default=0, min=0, max=10000, step=1, advanced=True),
io.Int.Input("min_length", default=0, min=0, max=10000, step=1, advanced=True),
io.Int.Input("min_padding", default=0, min=0, max=10000, step=1),
io.Int.Input("min_length", default=0, min=0, max=10000, step=1),
],
outputs=[io.Clip.Output()],
is_experimental=True,

4
comfy_extras/nodes_custom_sampler.py
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@ -1070,7 +1070,7 @@ class AddNoise(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="AddNoise",
category="experimental/custom_sampling/noise",
category="model/sampling/noise",
is_experimental=True,
inputs=[
io.Model.Input("model"),
@ -1120,7 +1120,7 @@ class ManualSigmas(io.ComfyNode):
return io.Schema(
node_id="ManualSigmas",
search_aliases=["custom noise schedule", "define sigmas"],
category="experimental/custom_sampling",
category="model/sampling/sigmas",
is_experimental=True,
inputs=[
io.String.Input("sigmas", default="1, 0.5", multiline=False)

6
comfy_extras/nodes_photomaker.py
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@ -123,7 +123,8 @@ class PhotoMakerLoader(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="PhotoMakerLoader",
category="experimental/photomaker",
display_name="Load PhotoMaker Model",
category="model/loaders",
inputs=[
io.Combo.Input("photomaker_model_name", options=folder_paths.get_filename_list("photomaker")),
],
@ -149,7 +150,8 @@ class PhotoMakerEncode(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="PhotoMakerEncode",
category="experimental/photomaker",
display_name="PhotoMaker Encode",
category="model/conditioning/photomaker",
inputs=[
io.Photomaker.Input("photomaker"),
io.Image.Input("image"),

2
comfy_extras/nodes_stable_cascade.py
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@ -119,7 +119,7 @@ class StableCascade_SuperResolutionControlnet(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="StableCascade_SuperResolutionControlnet",
category="experimental/stable_cascade",
category="experimental/stable cascade",
is_experimental=True,
inputs=[
io.Image.Input("image"),

4
comfy_extras/nodes_triposplat.py
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@ -143,7 +143,7 @@ class VAEDecodeTripoSplat(IO.ComfyNode):
return IO.Schema(
node_id="VAEDecodeTripoSplat",
display_name="TripoSplat Decode",
category="3d/latent",
category="model/latent/triposplat",
description="Decode the sampled TripoSplat latent into a 3D gaussian splat. "
"Modify the number of gaussians to vary the density.",
inputs=[
@ -188,7 +188,7 @@ class TripoSplatSamplingPreview(IO.ComfyNode):
return IO.Schema(
node_id="TripoSplatSamplingPreview",
display_name="TripoSplat Sampling Preview",
category="3d/latent",
category="model/latent/triposplat",
description="Patch the TripoSplat model for the standard Ksampler node to show a live decoded "
"gaussian splat preview at each step.",
inputs=[

11
nodes.py
View File

@ -349,7 +349,7 @@ class VAEDecodeTiled:
RETURN_TYPES = ("IMAGE",)
FUNCTION = "decode"
CATEGORY = "experimental"
CATEGORY = "model/latent"
def decode(self, vae, samples, tile_size, overlap=64, temporal_size=64, temporal_overlap=8):
if tile_size < overlap * 4:
@ -396,7 +396,7 @@ class VAEEncodeTiled:
RETURN_TYPES = ("LATENT",)
FUNCTION = "encode"
CATEGORY = "experimental"
CATEGORY = "model/latent"
def encode(self, vae, pixels, tile_size, overlap, temporal_size=64, temporal_overlap=8):
t = vae.encode_tiled(pixels, tile_x=tile_size, tile_y=tile_size, overlap=overlap, tile_t=temporal_size, overlap_t=temporal_overlap)
@ -514,7 +514,7 @@ class SaveLatent:
OUTPUT_NODE = True
CATEGORY = "experimental"
CATEGORY = "model/latent"
def save(self, samples, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None):
full_output_folder, filename, counter, subfolder, filename_prefix = folder_paths.get_save_image_path(filename_prefix, self.output_dir)
@ -559,7 +559,7 @@ class LoadLatent:
files = [f for f in os.listdir(input_dir) if os.path.isfile(os.path.join(input_dir, f)) and f.endswith(".latent")]
return {"required": {"latent": [sorted(files), ]}, }
CATEGORY = "experimental"
CATEGORY = "model/latent"
RETURN_TYPES = ("LATENT", )
FUNCTION = "load"
@ -2155,6 +2155,8 @@ NODE_DISPLAY_NAME_MAPPINGS = {
"GLIGENTextBoxApply": "Apply GLIGEN Text Box",
"ConditioningZeroOut": "Conditioning Zero Out",
# Latent
"LoadLatent": "Load Latent",
"SaveLatent": "Save Latent",
"VAEEncodeForInpaint": "VAE Encode (for Inpainting)",
"SetLatentNoiseMask": "Set Latent Noise Mask",
"VAEDecode": "VAE Decode",
@ -2189,7 +2191,6 @@ NODE_DISPLAY_NAME_MAPPINGS = {
"ImageSharpen": "Sharpen Image",
"ImageScaleToTotalPixels": "Scale Image to Total Pixels",
"GetImageSize": "Get Image Size",
# experimental
"VAEDecodeTiled": "VAE Decode (Tiled)",
"VAEEncodeTiled": "VAE Encode (Tiled)",
}