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Various categories updates

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This commit is contained in:
Alexis Rolland 2026-06-14 09:33:48 +08:00
parent c2303188b8
commit 5ab979c404
5 changed files with 6 additions and 6 deletions
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2
comfy_extras/nodes_sdupscale.py
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@ -9,7 +9,7 @@ class SD_4XUpscale_Conditioning(io.ComfyNode):
def define_schema(cls): def define_schema(cls):
return io.Schema( return io.Schema(
node_id="SD_4XUpscale_Conditioning", node_id="SD_4XUpscale_Conditioning",
category="model/conditioning/upscale_diffusion", category="model/conditioning/stable diffusion upscaler",
inputs=[ inputs=[
io.Image.Input("images"), io.Image.Input("images"),
io.Conditioning.Input("positive"), io.Conditioning.Input("positive"),

2
comfy_extras/nodes_stable3d.py
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@ -65,7 +65,7 @@ class StableZero123_Conditioning_Batched(io.ComfyNode):
def define_schema(cls): def define_schema(cls):
return io.Schema( return io.Schema(
node_id="StableZero123_Conditioning_Batched", node_id="StableZero123_Conditioning_Batched",
category="model/conditioning/stable_zero123", category="model/conditioning/stable zero123",
inputs=[ inputs=[
io.ClipVision.Input("clip_vision"), io.ClipVision.Input("clip_vision"),
io.Image.Input("init_image"), io.Image.Input("init_image"),

2
comfy_extras/nodes_stable_cascade.py
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@ -93,7 +93,7 @@ class StableCascade_StageB_Conditioning(io.ComfyNode):
def define_schema(cls): def define_schema(cls):
return io.Schema( return io.Schema(
node_id="StableCascade_StageB_Conditioning", node_id="StableCascade_StageB_Conditioning",
category="model/conditioning/stable_cascade", category="model/conditioning/stable cascade",
inputs=[ inputs=[
io.Conditioning.Input("conditioning"), io.Conditioning.Input("conditioning"),
io.Latent.Input("stage_c"), io.Latent.Input("stage_c"),

2
comfy_extras/nodes_wan.py
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@ -1252,7 +1252,7 @@ class Wan22ImageToVideoLatent(io.ComfyNode):
def define_schema(cls): def define_schema(cls):
return io.Schema( return io.Schema(
node_id="Wan22ImageToVideoLatent", node_id="Wan22ImageToVideoLatent",
category="model/conditioning/inpaint", category="model/conditioning/wan",
inputs=[ inputs=[
io.Vae.Input("vae"), io.Vae.Input("vae"),
io.Int.Input("width", default=1280, min=32, max=nodes.MAX_RESOLUTION, step=32), io.Int.Input("width", default=1280, min=32, max=nodes.MAX_RESOLUTION, step=32),

4
nodes.py
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@ -438,7 +438,7 @@ class InpaintModelConditioning:
RETURN_NAMES = ("positive", "negative", "latent") RETURN_NAMES = ("positive", "negative", "latent")
FUNCTION = "encode" FUNCTION = "encode"
CATEGORY = "model/conditioning/inpaint" CATEGORY = "model/conditioning"
def encode(self, positive, negative, pixels, vae, mask, noise_mask=True): def encode(self, positive, negative, pixels, vae, mask, noise_mask=True):
x = (pixels.shape[1] // 8) * 8 x = (pixels.shape[1] // 8) * 8
@ -1088,7 +1088,7 @@ class StyleModelApply:
RETURN_TYPES = ("CONDITIONING",) RETURN_TYPES = ("CONDITIONING",)
FUNCTION = "apply_stylemodel" FUNCTION = "apply_stylemodel"
CATEGORY = "model/conditioning/style_model" CATEGORY = "model/conditioning"
def apply_stylemodel(self, conditioning, style_model, clip_vision_output, strength, strength_type): def apply_stylemodel(self, conditioning, style_model, clip_vision_output, strength, strength_type):
cond = style_model.get_cond(clip_vision_output).flatten(start_dim=0, end_dim=1).unsqueeze(dim=0) cond = style_model.get_cond(clip_vision_output).flatten(start_dim=0, end_dim=1).unsqueeze(dim=0)