wangbo/ComfyUI
1
0
Fork 0
mirror of https://github.com/comfyanonymous/ComfyUI.git synced 2026-06-23 16:29:25 +08:00
Code Issues Actions 19 Packages Projects Releases Wiki Activity

Update model patch category

Browse Source
This commit is contained in:
Alexis Rolland 2026-06-14 12:01:34 +08:00
parent fed21e38cf
commit 9a2fc200da
7 changed files with 17 additions and 15 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
comfy_extras/nodes_chroma_radiance.py
View File

@ -33,7 +33,7 @@ class ChromaRadianceOptions(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="ChromaRadianceOptions",
category="model/patch/chroma_radiance",
category="model/patch/chroma radiance",
description="Allows setting advanced options for the Chroma Radiance model.",
inputs=[
io.Model.Input(id="model"),

1
comfy_extras/nodes_context_windows.py
View File

@ -66,6 +66,7 @@ class WanContextWindowsManualNode(ContextWindowsManualNode):
schema.node_id = "WanContextWindowsManual"
schema.display_name = "WAN Context Windows (Manual)"
schema.description = "Manually set context windows for WAN-like models (dim=2)."
schema.category="model/patch/wan"
schema.inputs = [
io.Model.Input("model", tooltip="The model to apply context windows to during sampling."),
io.Int.Input("context_length", min=1, max=nodes.MAX_RESOLUTION, step=4, default=81, tooltip="The length of the context window.", advanced=True),

4
comfy_extras/nodes_easycache.py
View File

@ -363,7 +363,7 @@ class EasyCacheNode(io.ComfyNode):
node_id="EasyCache",
display_name="EasyCache",
description="Native EasyCache implementation.",
category="advanced/debug/model",
category="advanced/debug",
is_experimental=True,
inputs=[
io.Model.Input("model", tooltip="The model to add EasyCache to."),
@ -496,7 +496,7 @@ class LazyCacheNode(io.ComfyNode):
node_id="LazyCache",
display_name="LazyCache",
description="A homebrew version of EasyCache - even 'easier' version of EasyCache to implement. Overall works worse than EasyCache, but better in some rare cases AND universal compatibility with everything in ComfyUI.",
category="advanced/debug/model",
category="advanced/debug",
is_experimental=True,
inputs=[
io.Model.Input("model", tooltip="The model to add LazyCache to."),

2
comfy_extras/nodes_hidream_o1.py
View File

@ -117,7 +117,7 @@ class HiDreamO1PatchSeamSmoothing(io.ComfyNode):
return io.Schema(
node_id="HiDreamO1PatchSeamSmoothing",
display_name="HiDream-O1 Patch Seam Smoothing",
category="advanced/model",
category="model/patch/hidream",
is_experimental=True,
description=(
"Average the model output across multiple shifted patch-grid "

2
comfy_extras/nodes_lt.py
View File

@ -566,7 +566,7 @@ class ModelSamplingLTXV(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="ModelSamplingLTXV",
category="advanced/model",
category="model/patch/ltxv",
inputs=[
io.Model.Input("model"),
io.Float.Input("max_shift", default=2.05, min=0.0, max=100.0, step=0.01),

2
comfy_extras/nodes_lumina2.py
View File

@ -9,7 +9,7 @@ class RenormCFG(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="RenormCFG",
category="advanced/model",
category="model/patch",
inputs=[
io.Model.Input("model"),
io.Float.Input("cfg_trunc", default=100, min=0.0, max=100.0, step=0.01, advanced=True),

19
comfy_extras/nodes_model_advanced.py
View File

@ -59,7 +59,7 @@ class ModelSamplingDiscrete:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
CATEGORY = "advanced/model"
CATEGORY = "model/patch"
def patch(self, model, sampling, zsnr):
m = model.clone()
@ -97,7 +97,7 @@ class ModelSamplingStableCascade:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
CATEGORY = "advanced/model"
CATEGORY = "model/patch/stable cascade"
def patch(self, model, shift):
m = model.clone()
@ -123,7 +123,7 @@ class ModelSamplingSD3:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
CATEGORY = "advanced/model"
CATEGORY = "model/patch/stable diffusion"
def patch(self, model, shift, multiplier=1000):
m = model.clone()
@ -150,6 +150,7 @@ class ModelSamplingAuraFlow(ModelSamplingSD3):
}}
FUNCTION = "patch_aura"
CATEGORY = "model/patch"
def patch_aura(self, model, shift):
return self.patch(model, shift, multiplier=1.0)
@ -167,7 +168,7 @@ class ModelSamplingFlux:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
CATEGORY = "advanced/model"
CATEGORY = "model/patch/flux"
def patch(self, model, max_shift, base_shift, width, height):
m = model.clone()
@ -202,7 +203,7 @@ class ModelSamplingContinuousEDM:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
CATEGORY = "advanced/model"
CATEGORY = "model/patch"
def patch(self, model, sampling, sigma_max, sigma_min):
m = model.clone()
@ -247,7 +248,7 @@ class ModelSamplingContinuousV:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
CATEGORY = "advanced/model"
CATEGORY = "model/patch"
def patch(self, model, sampling, sigma_max, sigma_min):
m = model.clone()
@ -273,7 +274,7 @@ class RescaleCFG:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
CATEGORY = "advanced/model"
CATEGORY = "model/patch"
def patch(self, model, multiplier):
def rescale_cfg(args):
@ -314,7 +315,7 @@ class ModelNoiseScale:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
CATEGORY = "advanced/model"
CATEGORY = "model/patch"
def patch(self, model, noise_scale):
m = model.clone()
@ -337,7 +338,7 @@ class ModelComputeDtype:
RETURN_TYPES = ("MODEL",)
FUNCTION = "patch"
CATEGORY = "advanced/debug/model"
CATEGORY = "advanced/debug"
def patch(self, model, dtype):
m = model.clone()