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Update loaders category

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This commit is contained in:
Alexis Rolland 2026-06-14 11:49:37 +08:00
parent f57d84ab69
commit fed21e38cf
5 changed files with 16 additions and 13 deletions
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5
comfy_extras/nodes_hidream.py
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@ -11,8 +11,9 @@ class QuadrupleCLIPLoader(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="QuadrupleCLIPLoader",
category="advanced/loaders",
description="[Recipes]\n\nhidream: long clip-l, long clip-g, t5xxl, llama_8b_3.1_instruct",
display_name="Load CLIP (Quadruple)",
category="model/loaders",
description="Recipes:\nhidream: long clip-l, long clip-g, t5xxl, llama_8b_3.1_instruct",
inputs=[
io.Combo.Input("clip_name1", options=folder_paths.get_filename_list("text_encoders")),
io.Combo.Input("clip_name2", options=folder_paths.get_filename_list("text_encoders")),

6
comfy_extras/nodes_lt_audio.py
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@ -168,9 +168,9 @@ class LTXAVTextEncoderLoader(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="LTXAVTextEncoderLoader",
display_name="LTXV Audio Text Encoder Loader",
category="advanced/loaders",
description="[Recipes]\n\nltxav: gemma 3 12B",
display_name="Load LTXV Audio Text Encoder",
category="model/loaders",
description="Recipes:\nltxav: gemma 3 12B",
inputs=[
io.Combo.Input(
"text_encoder",

4
comfy_extras/nodes_model_patch.py
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@ -232,7 +232,7 @@ class ModelPatchLoader:
FUNCTION = "load_model_patch"
EXPERIMENTAL = True
CATEGORY = "advanced/loaders"
CATEGORY = "model/loaders"
def load_model_patch(self, name):
model_patch_path = folder_paths.get_full_path_or_raise("model_patches", name)
@ -512,7 +512,7 @@ class ZImageFunControlnet(QwenImageDiffsynthControlnet):
},
"optional": {"image": ("IMAGE",), "inpaint_image": ("IMAGE",), "mask": ("MASK",)}}
CATEGORY = "advanced/loaders/zimage"
CATEGORY = "model/patch/z-image"
class UsoStyleProjectorPatch:
def __init__(self, model_patch, encoded_image):

5
comfy_extras/nodes_sd3.py
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@ -13,8 +13,9 @@ class TripleCLIPLoader(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="TripleCLIPLoader",
category="advanced/loaders",
description="[Recipes]\n\nsd3: clip-l, clip-g, t5",
display_name="Load CLIP (Triple)",
category="model/loaders",
description="Recipes:\nsd3: clip-l, clip-g, t5",
inputs=[
io.Combo.Input("clip_name1", options=folder_paths.get_filename_list("text_encoders")),
io.Combo.Input("clip_name2", options=folder_paths.get_filename_list("text_encoders")),

9
nodes.py
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@ -949,7 +949,7 @@ class UNETLoader:
RETURN_TYPES = ("MODEL",)
FUNCTION = "load_unet"
CATEGORY = "advanced/loaders"
CATEGORY = "model/loaders"
def load_unet(self, unet_name, weight_dtype):
model_options = {}
@ -977,9 +977,9 @@ class CLIPLoader:
RETURN_TYPES = ("CLIP",)
FUNCTION = "load_clip"
CATEGORY = "advanced/loaders"
CATEGORY = "model/loaders"
DESCRIPTION = "[Recipes]\n\nstable_diffusion: clip-l\nstable_cascade: clip-g\nsd3: t5 xxl/ clip-g / clip-l\nstable_audio: t5 base\nmochi: t5 xxl\ncogvideox: t5 xxl (226-token padding)\ncosmos: old t5 xxl\nlumina2: gemma 2 2B\nwan: umt5 xxl\n hidream: llama-3.1 (Recommend) or t5\nomnigen2: qwen vl 2.5 3B\nlens: gpt-oss-20b\n pixeldit: gemma 2 2B elm"
DESCRIPTION = "Recipes:\nsd: clip-l\nstable cascade: clip-g\nsd3: t5 xxl / clip-g / clip-l\nstable audio: t5 base\nmochi: t5 xxl\ncogvideox: t5 xxl (226-token padding)\ncosmos: old t5 xxl\nlumina2: gemma 2 2B\nwan: umt5 xxl\nhidream: llama-3.1 (Recommend) or t5\nomnigen2: qwen vl 2.5 3B\nlens: gpt-oss-20b\npixeldit: gemma 2 2B elm"
def load_clip(self, clip_name, type="stable_diffusion", device="default"):
clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION)
@ -1007,7 +1007,7 @@ class DualCLIPLoader:
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"
DESCRIPTION = "Recipes:\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"
def load_clip(self, clip_name1, clip_name2, type, device="default"):
clip_type = getattr(comfy.sd.CLIPType, type.upper(), comfy.sd.CLIPType.STABLE_DIFFUSION)
@ -2099,6 +2099,7 @@ NODE_DISPLAY_NAME_MAPPINGS = {
"LoraLoader": "Load LoRA (Model and CLIP)",
"LoraLoaderModelOnly": "Load LoRA",
"CLIPLoader": "Load CLIP",
"DualCLIPLoader": "Load CLIP (Dual)",
"ControlNetLoader": "Load ControlNet Model",
"DiffControlNetLoader": "Load ControlNet Model (diff)",
"StyleModelLoader": "Load Style Model",