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feat: add SEARCH_ALIASES for model and misc nodes

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Add search aliases to model-related and miscellaneous nodes:
- Model nodes: nodes_model_merging.py, nodes_model_advanced.py, nodes_lora_extract.py
- Sampler nodes: nodes_custom_sampler.py, nodes_align_your_steps.py
- Control nodes: nodes_controlnet.py, nodes_attention_multiply.py, nodes_hooks.py
- Training nodes: nodes_train.py, nodes_dataset.py
- Utility nodes: nodes_logic.py, nodes_canny.py, nodes_differential_diffusion.py
- Architecture-specific: nodes_sd3.py, nodes_pixart.py, nodes_lumina2.py, nodes_kandinsky5.py, nodes_hidream.py, nodes_fresca.py, nodes_hunyuan3d.py
- Media nodes: nodes_load_3d.py, nodes_webcam.py, nodes_preview_any.py, nodes_wanmove.py

Uses search_aliases parameter in io.Schema() for v3 nodes, SEARCH_ALIASES class attribute for legacy nodes.
This commit is contained in:
bymyself
2026-01-21 19:12:33 -08:00
parent dcde86463c
commit 1202709996
24 changed files with 38 additions and 4 deletions
Download Patch File Download Diff File Expand all files Collapse all files

1
comfy_extras/nodes_align_your_steps.py
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@@ -28,6 +28,7 @@ class AlignYourStepsScheduler(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="AlignYourStepsScheduler",
search_aliases=["AYS scheduler"],
category="sampling/custom_sampling/schedulers",
inputs=[
io.Combo.Input("model_type", options=["SD1", "SDXL", "SVD"]),

1
comfy_extras/nodes_attention_multiply.py
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@@ -71,6 +71,7 @@ class CLIPAttentionMultiply(io.ComfyNode):
def define_schema(cls) -> io.Schema:
return io.Schema(
node_id="CLIPAttentionMultiply",
search_aliases=["clip attention scale", "text encoder attention"],
category="_for_testing/attention_experiments",
inputs=[
io.Clip.Input("clip"),

1
comfy_extras/nodes_canny.py
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@@ -10,6 +10,7 @@ class Canny(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="Canny",
search_aliases=["edge detection", "outline", "contour detection", "line art"],
category="image/preprocessors",
inputs=[
io.Image.Input("image"),

1
comfy_extras/nodes_controlnet.py
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@@ -38,6 +38,7 @@ class ControlNetInpaintingAliMamaApply(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="ControlNetInpaintingAliMamaApply",
search_aliases=["masked controlnet"],
category="conditioning/controlnet",
inputs=[
io.Conditioning.Input("positive"),

4
comfy_extras/nodes_custom_sampler.py
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@@ -297,6 +297,7 @@ class ExtendIntermediateSigmas(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="ExtendIntermediateSigmas",
search_aliases=["interpolate sigmas"],
category="sampling/custom_sampling/sigmas",
inputs=[
io.Sigmas.Input("sigmas"),
@@ -856,6 +857,7 @@ class DualCFGGuider(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="DualCFGGuider",
search_aliases=["dual prompt guidance"],
category="sampling/custom_sampling/guiders",
inputs=[
io.Model.Input("model"),
@@ -883,6 +885,7 @@ class DisableNoise(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="DisableNoise",
search_aliases=["zero noise"],
category="sampling/custom_sampling/noise",
inputs=[],
outputs=[io.Noise.Output()]
@@ -1019,6 +1022,7 @@ class ManualSigmas(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="ManualSigmas",
search_aliases=["custom noise schedule", "define sigmas"],
category="_for_testing/custom_sampling",
is_experimental=True,
inputs=[

6
comfy_extras/nodes_dataset.py
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@@ -1223,11 +1223,11 @@ class ResolutionBucket(io.ComfyNode):
class MakeTrainingDataset(io.ComfyNode):
"""Encode images with VAE and texts with CLIP to create a training dataset."""
@classmethod
def define_schema(cls):
return io.Schema(
node_id="MakeTrainingDataset",
search_aliases=["encode dataset"],
display_name="Make Training Dataset",
category="dataset",
is_experimental=True,
@@ -1309,11 +1309,11 @@ class MakeTrainingDataset(io.ComfyNode):
class SaveTrainingDataset(io.ComfyNode):
"""Save encoded training dataset (latents + conditioning) to disk."""
@classmethod
def define_schema(cls):
return io.Schema(
node_id="SaveTrainingDataset",
search_aliases=["export training data"],
display_name="Save Training Dataset",
category="dataset",
is_experimental=True,
@@ -1410,11 +1410,11 @@ class SaveTrainingDataset(io.ComfyNode):
class LoadTrainingDataset(io.ComfyNode):
"""Load encoded training dataset from disk."""
@classmethod
def define_schema(cls):
return io.Schema(
node_id="LoadTrainingDataset",
search_aliases=["import dataset", "training data"],
display_name="Load Training Dataset",
category="dataset",
is_experimental=True,

1
comfy_extras/nodes_differential_diffusion.py
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@@ -11,6 +11,7 @@ class DifferentialDiffusion(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="DifferentialDiffusion",
search_aliases=["inpaint gradient", "variable denoise strength"],
display_name="Differential Diffusion",
category="_for_testing",
inputs=[

1
comfy_extras/nodes_fresca.py
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@@ -58,6 +58,7 @@ class FreSca(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="FreSca",
search_aliases=["frequency guidance"],
display_name="FreSca",
category="_for_testing",
description="Applies frequency-dependent scaling to the guidance",

1
comfy_extras/nodes_hidream.py
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@@ -38,6 +38,7 @@ class CLIPTextEncodeHiDream(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodeHiDream",
search_aliases=["hidream prompt"],
category="advanced/conditioning",
inputs=[
io.Clip.Input("clip"),

5
comfy_extras/nodes_hooks.py
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@@ -259,6 +259,7 @@ class SetClipHooks:
return (clip,)
class ConditioningTimestepsRange:
SEARCH_ALIASES = ["prompt scheduling", "timestep segments", "conditioning phases"]
NodeId = 'ConditioningTimestepsRange'
NodeName = 'Timesteps Range'
@classmethod
@@ -468,6 +469,7 @@ class SetHookKeyframes:
return (hooks,)
class CreateHookKeyframe:
SEARCH_ALIASES = ["hook scheduling", "strength animation", "timed hook"]
NodeId = 'CreateHookKeyframe'
NodeName = 'Create Hook Keyframe'
@classmethod
@@ -497,6 +499,7 @@ class CreateHookKeyframe:
return (prev_hook_kf,)
class CreateHookKeyframesInterpolated:
SEARCH_ALIASES = ["ease hook strength", "smooth hook transition", "interpolate keyframes"]
NodeId = 'CreateHookKeyframesInterpolated'
NodeName = 'Create Hook Keyframes Interp.'
@classmethod
@@ -544,6 +547,7 @@ class CreateHookKeyframesInterpolated:
return (prev_hook_kf,)
class CreateHookKeyframesFromFloats:
SEARCH_ALIASES = ["batch keyframes", "strength list to keyframes"]
NodeId = 'CreateHookKeyframesFromFloats'
NodeName = 'Create Hook Keyframes From Floats'
@classmethod
@@ -618,6 +622,7 @@ class SetModelHooksOnCond:
# Combine Hooks
#------------------------------------------
class CombineHooks:
SEARCH_ALIASES = ["merge hooks"]
NodeId = 'CombineHooks2'
NodeName = 'Combine Hooks [2]'
@classmethod

1
comfy_extras/nodes_hunyuan3d.py
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@@ -618,6 +618,7 @@ class SaveGLB(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="SaveGLB",
search_aliases=["export 3d model", "save mesh"],
category="3d",
is_output_node=True,
inputs=[

1
comfy_extras/nodes_kandinsky5.py
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@@ -104,6 +104,7 @@ class CLIPTextEncodeKandinsky5(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodeKandinsky5",
search_aliases=["kandinsky prompt"],
category="advanced/conditioning/kandinsky5",
inputs=[
io.Clip.Input("clip"),

1
comfy_extras/nodes_load_3d.py
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@@ -75,6 +75,7 @@ class Preview3D(IO.ComfyNode):
def define_schema(cls):
return IO.Schema(
node_id="Preview3D",
search_aliases=["view mesh", "3d viewer"],
display_name="Preview 3D & Animation",
category="3d",
is_experimental=True,

2
comfy_extras/nodes_logic.py
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@@ -224,6 +224,7 @@ class ConvertStringToComboNode(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="ConvertStringToComboNode",
search_aliases=["string to dropdown", "text to combo"],
display_name="Convert String to Combo",
category="logic",
inputs=[io.String.Input("string")],
@@ -239,6 +240,7 @@ class InvertBooleanNode(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="InvertBooleanNode",
search_aliases=["not", "toggle", "negate", "flip boolean"],
display_name="Invert Boolean",
category="logic",
inputs=[io.Boolean.Input("boolean")],

1
comfy_extras/nodes_lora_extract.py
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@@ -78,6 +78,7 @@ class LoraSave(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LoraSave",
search_aliases=["export lora"],
display_name="Extract and Save Lora",
category="_for_testing",
inputs=[

1
comfy_extras/nodes_lumina2.py
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@@ -79,6 +79,7 @@ class CLIPTextEncodeLumina2(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodeLumina2",
search_aliases=["lumina prompt"],
display_name="CLIP Text Encode for Lumina2",
category="conditioning",
description="Encodes a system prompt and a user prompt using a CLIP model into an embedding "

1
comfy_extras/nodes_model_advanced.py
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@@ -299,6 +299,7 @@ class RescaleCFG:
return (m, )
class ModelComputeDtype:
SEARCH_ALIASES = ["model precision", "change dtype"]
@classmethod
def INPUT_TYPES(s):
return {"required": { "model": ("MODEL",),

4
comfy_extras/nodes_model_merging.py
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@@ -91,6 +91,7 @@ class CLIPMergeSimple:
class CLIPSubtract:
SEARCH_ALIASES = ["clip difference", "text encoder subtract"]
@classmethod
def INPUT_TYPES(s):
return {"required": { "clip1": ("CLIP",),
@@ -113,6 +114,7 @@ class CLIPSubtract:
class CLIPAdd:
SEARCH_ALIASES = ["combine clip"]
@classmethod
def INPUT_TYPES(s):
return {"required": { "clip1": ("CLIP",),
@@ -225,6 +227,7 @@ def save_checkpoint(model, clip=None, vae=None, clip_vision=None, filename_prefi
comfy.sd.save_checkpoint(output_checkpoint, model, clip, vae, clip_vision, metadata=metadata, extra_keys=extra_keys)
class CheckpointSave:
SEARCH_ALIASES = ["save model", "export checkpoint", "merge save"]
def __init__(self):
self.output_dir = folder_paths.get_output_directory()
@@ -337,6 +340,7 @@ class VAESave:
return {}
class ModelSave:
SEARCH_ALIASES = ["export model", "checkpoint save"]
def __init__(self):
self.output_dir = folder_paths.get_output_directory()

1
comfy_extras/nodes_pixart.py
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@@ -7,6 +7,7 @@ class CLIPTextEncodePixArtAlpha(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodePixArtAlpha",
search_aliases=["pixart prompt"],
category="advanced/conditioning",
description="Encodes text and sets the resolution conditioning for PixArt Alpha. Does not apply to PixArt Sigma.",
inputs=[

2
comfy_extras/nodes_preview_any.py
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@@ -16,7 +16,7 @@ class PreviewAny():
OUTPUT_NODE = True
CATEGORY = "utils"
SEARCH_ALIASES = ["preview", "show", "display", "view", "show text", "display text", "preview text", "show output", "inspect", "debug"]
SEARCH_ALIASES = ["show output", "inspect", "debug", "print value", "show text"]
def main(self, source=None):
value = 'None'

1
comfy_extras/nodes_sd3.py
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@@ -65,6 +65,7 @@ class CLIPTextEncodeSD3(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="CLIPTextEncodeSD3",
search_aliases=["sd3 prompt"],
category="advanced/conditioning",
inputs=[
io.Clip.Input("clip"),

2
comfy_extras/nodes_train.py
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@@ -1101,6 +1101,7 @@ class SaveLoRA(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="SaveLoRA",
search_aliases=["export lora"],
display_name="Save LoRA Weights",
category="loaders",
is_experimental=True,
@@ -1144,6 +1145,7 @@ class LossGraphNode(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="LossGraphNode",
search_aliases=["training chart", "training visualization", "plot loss"],
display_name="Plot Loss Graph",
category="training",
is_experimental=True,

1
comfy_extras/nodes_wanmove.py
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@@ -324,6 +324,7 @@ class GenerateTracks(io.ComfyNode):
def define_schema(cls):
return io.Schema(
node_id="GenerateTracks",
search_aliases=["motion paths", "camera movement", "trajectory"],
category="conditioning/video_models",
inputs=[
io.Int.Input("width", default=832, min=16, max=4096, step=16),

1
comfy_extras/nodes_webcam.py
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@@ -5,6 +5,7 @@ MAX_RESOLUTION = nodes.MAX_RESOLUTION
class WebcamCapture(nodes.LoadImage):
SEARCH_ALIASES = ["camera input", "live capture", "camera feed", "snapshot"]
@classmethod
def INPUT_TYPES(s):
return {