chore: Update nodes categories and display names (CORE-89)

comfy_extras/nodes_advanced_samplers.py

@@ -92,7 +92,7 @@ def define_schema(cls) -> io.Schema:
         return io.Schema(
             node_id="SamplerEulerCFGpp",
             display_name="SamplerEulerCFG++",
-            category="_for_testing",  # "sampling/custom_sampling/samplers"
+            category="experimental",  # "sampling/custom_sampling/samplers"
             inputs=[
                 io.Combo.Input("version", options=["regular", "alternative"], advanced=True),
             ],

comfy_extras/nodes_attention_multiply.py

@@ -25,7 +25,7 @@ class UNetSelfAttentionMultiply(io.ComfyNode):
     def define_schema(cls) -> io.Schema:
         return io.Schema(
             node_id="UNetSelfAttentionMultiply",
-            category="_for_testing/attention_experiments",
+            category="experimental/attention_experiments",
             inputs=[
                 io.Model.Input("model"),
                 io.Float.Input("q", default=1.0, min=0.0, max=10.0, step=0.01, advanced=True),
@@ -48,7 +48,7 @@ class UNetCrossAttentionMultiply(io.ComfyNode):
     def define_schema(cls) -> io.Schema:
         return io.Schema(
             node_id="UNetCrossAttentionMultiply",
-            category="_for_testing/attention_experiments",
+            category="experimental/attention_experiments",
             inputs=[
                 io.Model.Input("model"),
                 io.Float.Input("q", default=1.0, min=0.0, max=10.0, step=0.01, advanced=True),
@@ -72,7 +72,7 @@ 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",
+            category="experimental/attention_experiments",
             inputs=[
                 io.Clip.Input("clip"),
                 io.Float.Input("q", default=1.0, min=0.0, max=10.0, step=0.01, advanced=True),
@@ -106,7 +106,7 @@ class UNetTemporalAttentionMultiply(io.ComfyNode):
     def define_schema(cls) -> io.Schema:
         return io.Schema(
             node_id="UNetTemporalAttentionMultiply",
-            category="_for_testing/attention_experiments",
+            category="experimental/attention_experiments",
             inputs=[
                 io.Model.Input("model"),
                 io.Float.Input("self_structural", default=1.0, min=0.0, max=10.0, step=0.01, advanced=True),

comfy_extras/nodes_audio_encoder.py

@@ -10,6 +10,7 @@ class AudioEncoderLoader(io.ComfyNode):
     def define_schema(cls) -> io.Schema:
         return io.Schema(
             node_id="AudioEncoderLoader",
+            display_name="Load Audio Encoder",
             category="loaders",
             inputs=[
                 io.Combo.Input(

comfy_extras/nodes_camera_trajectory.py

@@ -153,7 +153,7 @@ class WanCameraEmbedding(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="WanCameraEmbedding",
-            category="camera",
+            category="conditioning/video_models",
             inputs=[
                 io.Combo.Input(
                     "camera_pose",

comfy_extras/nodes_cond.py

@@ -8,7 +8,7 @@ class CLIPTextEncodeControlnet(io.ComfyNode):
     def define_schema(cls) -> io.Schema:
         return io.Schema(
             node_id="CLIPTextEncodeControlnet",
-            category="_for_testing/conditioning",
+            category="experimental/conditioning",
             inputs=[
                 io.Clip.Input("clip"),
                 io.Conditioning.Input("conditioning"),
@@ -35,7 +35,7 @@ class T5TokenizerOptions(io.ComfyNode):
     def define_schema(cls) -> io.Schema:
         return io.Schema(
             node_id="T5TokenizerOptions",
-            category="_for_testing/conditioning",
+            category="experimental/conditioning",
             inputs=[
                 io.Clip.Input("clip"),
                 io.Int.Input("min_padding", default=0, min=0, max=10000, step=1, advanced=True),

comfy_extras/nodes_context_windows.py

@@ -10,7 +10,7 @@ def define_schema(cls) -> io.Schema:
         return io.Schema(
             node_id="ContextWindowsManual",
             display_name="Context Windows (Manual)",
-            category="context",
+            category="model_patches",
             description="Manually set context windows.",
             inputs=[
                 io.Model.Input("model", tooltip="The model to apply context windows to during sampling."),

comfy_extras/nodes_custom_sampler.py

@@ -984,7 +984,7 @@ class AddNoise(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="AddNoise",
-            category="_for_testing/custom_sampling/noise",
+            category="experimental/custom_sampling/noise",
             is_experimental=True,
             inputs=[
                 io.Model.Input("model"),
@@ -1034,7 +1034,7 @@ def define_schema(cls):
         return io.Schema(
             node_id="ManualSigmas",
             search_aliases=["custom noise schedule", "define sigmas"],
-            category="_for_testing/custom_sampling",
+            category="experimental/custom_sampling",
             is_experimental=True,
             inputs=[
                 io.String.Input("sigmas", default="1, 0.5", multiline=False)

comfy_extras/nodes_differential_diffusion.py

@@ -13,7 +13,7 @@ def define_schema(cls):
             node_id="DifferentialDiffusion",
             search_aliases=["inpaint gradient", "variable denoise strength"],
             display_name="Differential Diffusion",
-            category="_for_testing",
+            category="experimental",
             inputs=[
                 io.Model.Input("model"),
                 io.Float.Input(

comfy_extras/nodes_fresca.py

@@ -60,7 +60,7 @@ def define_schema(cls):
             node_id="FreSca",
             search_aliases=["frequency guidance"],
             display_name="FreSca",
-            category="_for_testing",
+            category="experimental",
             description="Applies frequency-dependent scaling to the guidance",
             inputs=[
                 io.Model.Input("model"),

comfy_extras/nodes_hunyuan.py

@@ -131,6 +131,8 @@ class HunyuanVideo15SuperResolution(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="HunyuanVideo15SuperResolution",
+            display_name="Hunyuan Video 1.5 Super Resolution",
+            category="conditioning/video_models",
             inputs=[
                 io.Conditioning.Input("positive"),
                 io.Conditioning.Input("negative"),
@@ -381,6 +383,8 @@ class HunyuanRefinerLatent(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="HunyuanRefinerLatent",
+            display_name="Hunyuan Latent Refiner",
+            category="conditioning/video_models",
             inputs=[
                 io.Conditioning.Input("positive"),
                 io.Conditioning.Input("negative"),

comfy_extras/nodes_hunyuan3d.py

@@ -40,7 +40,7 @@ class Hunyuan3Dv2Conditioning(IO.ComfyNode):
     def define_schema(cls):
         return IO.Schema(
             node_id="Hunyuan3Dv2Conditioning",
-            category="conditioning/video_models",
+            category="conditioning/3d_models",
             inputs=[
                 IO.ClipVisionOutput.Input("clip_vision_output"),
             ],
@@ -65,7 +65,7 @@ class Hunyuan3Dv2ConditioningMultiView(IO.ComfyNode):
     def define_schema(cls):
         return IO.Schema(
             node_id="Hunyuan3Dv2ConditioningMultiView",
-            category="conditioning/video_models",
+            category="conditioning/3d_models",
             inputs=[
                 IO.ClipVisionOutput.Input("front", optional=True),
                 IO.ClipVisionOutput.Input("left", optional=True),
@@ -424,6 +424,7 @@ class VoxelToMeshBasic(IO.ComfyNode):
     def define_schema(cls):
         return IO.Schema(
             node_id="VoxelToMeshBasic",
+            display_name="Voxel to Mesh (Basic)",
             category="3d",
             inputs=[
                 IO.Voxel.Input("voxel"),
@@ -453,6 +454,7 @@ class VoxelToMesh(IO.ComfyNode):
     def define_schema(cls):
         return IO.Schema(
             node_id="VoxelToMesh",
+            display_name="Voxel to Mesh",
             category="3d",
             inputs=[
                 IO.Voxel.Input("voxel"),

comfy_extras/nodes_hypernetwork.py

@@ -102,6 +102,7 @@ class HypernetworkLoader(IO.ComfyNode):
     def define_schema(cls):
         return IO.Schema(
             node_id="HypernetworkLoader",
+            display_name="Load Hypernetwork",
             category="loaders",
             inputs=[
                 IO.Model.Input("model"),

comfy_extras/nodes_lora_extract.py

@@ -91,7 +91,7 @@ def define_schema(cls):
             node_id="LoraSave",
             search_aliases=["export lora"],
             display_name="Extract and Save Lora",
-            category="_for_testing",
+            category="experimental",
             inputs=[
                 io.String.Input("filename_prefix", default="loras/ComfyUI_extracted_lora"),
                 io.Int.Input("rank", default=8, min=1, max=4096, step=1, advanced=True),

comfy_extras/nodes_lt.py

@@ -594,7 +594,8 @@ class LTXVPreprocess(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="LTXVPreprocess",
-            category="image",
+            display_name="LTXV Preprocess",
+            category="video/preprocessors",
             inputs=[
                 io.Image.Input("image"),
                 io.Int.Input(

comfy_extras/nodes_mahiro.py

@@ -11,7 +11,7 @@ def define_schema(cls):
         return io.Schema(
             node_id="Mahiro",
             display_name="Positive-Biased Guidance",
-            category="_for_testing",
+            category="experimental",
             description="Modify the guidance to scale more on the 'direction' of the positive prompt rather than the difference between the negative prompt.",
             inputs=[
                 io.Model.Input("model"),

comfy_extras/nodes_math.py

@@ -70,7 +70,7 @@ def define_schema(cls) -> io.Schema:
         return io.Schema(
             node_id="ComfyMathExpression",
             display_name="Math Expression",
-            category="math",
+            category="logic",
             search_aliases=[
                 "expression", "formula", "calculate", "calculator",
                 "eval", "math",

comfy_extras/nodes_number_convert.py

@@ -21,7 +21,7 @@ def define_schema(cls) -> io.Schema:
         return io.Schema(
             node_id="ComfyNumberConvert",
             display_name="Number Convert",
-            category="math",
+            category="utils",
             search_aliases=[
                 "int to float", "float to int", "number convert",
                 "int2float", "float2int", "cast", "parse number",

comfy_extras/nodes_perpneg.py

@@ -24,8 +24,8 @@ class PerpNeg(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="PerpNeg",
-            display_name="Perp-Neg (DEPRECATED by PerpNegGuider)",
-            category="_for_testing",
+            display_name="Perp-Neg (DEPRECATED)",
+            category="experimental",
             inputs=[
                 io.Model.Input("model"),
                 io.Conditioning.Input("empty_conditioning"),
@@ -127,7 +127,8 @@ class PerpNegGuider(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="PerpNegGuider",
-            category="_for_testing",
+            display_name="Perp-Neg Guider",
+            category="experimental",
             inputs=[
                 io.Model.Input("model"),
                 io.Conditioning.Input("positive"),

comfy_extras/nodes_photomaker.py

@@ -123,7 +123,7 @@ class PhotoMakerLoader(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="PhotoMakerLoader",
-            category="_for_testing/photomaker",
+            category="experimental/photomaker",
             inputs=[
                 io.Combo.Input("photomaker_model_name", options=folder_paths.get_filename_list("photomaker")),
             ],
@@ -149,7 +149,7 @@ class PhotoMakerEncode(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="PhotoMakerEncode",
-            category="_for_testing/photomaker",
+            category="experimental/photomaker",
             inputs=[
                 io.Photomaker.Input("photomaker"),
                 io.Image.Input("image"),

comfy_extras/nodes_post_processing.py

@@ -116,6 +116,7 @@ class Quantize(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="ImageQuantize",
+            display_name="Quantize Image",
             category="image/postprocessing",
             inputs=[
                 io.Image.Input("image"),
@@ -181,6 +182,7 @@ class Sharpen(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="ImageSharpen",
+            display_name="Sharpen Image",
             category="image/postprocessing",
             inputs=[
                 io.Image.Input("image"),
@@ -436,7 +438,7 @@ def define_schema(cls):
             node_id="ResizeImageMaskNode",
             display_name="Resize Image/Mask",
             description="Resize an image or mask using various scaling methods.",
-            category="transform",
+            category="image/transform",
             search_aliases=["resize", "resize image", "resize mask", "scale", "scale image", "scale mask", "image resize", "change size", "dimensions", "shrink", "enlarge"],
             inputs=[
                 io.MatchType.Input("input", template=template),

comfy_extras/nodes_rtdetr.py

@@ -15,7 +15,7 @@ def define_schema(cls):
         return io.Schema(
             node_id="RTDETR_detect",
             display_name="RT-DETR Detect",
-            category="detection/",
+            category="detection",
             search_aliases=["bbox", "bounding box", "object detection", "coco"],
             inputs=[
                 io.Model.Input("model", display_name="model"),
@@ -71,7 +71,7 @@ def define_schema(cls):
         return io.Schema(
             node_id="DrawBBoxes",
             display_name="Draw BBoxes",
-            category="detection/",
+            category="detection",
             search_aliases=["bbox", "bounding box", "object detection", "rt_detr", "visualize detections", "coco"],
             inputs=[
                 io.Image.Input("image", optional=True),

comfy_extras/nodes_sag.py

@@ -113,7 +113,7 @@ def define_schema(cls):
         return io.Schema(
             node_id="SelfAttentionGuidance",
             display_name="Self-Attention Guidance",
-            category="_for_testing",
+            category="experimental",
             inputs=[
                 io.Model.Input("model"),
                 io.Float.Input("scale", default=0.5, min=-2.0, max=5.0, step=0.01),

comfy_extras/nodes_sam3.py

@@ -93,7 +93,7 @@ def define_schema(cls):
         return io.Schema(
             node_id="SAM3_Detect",
             display_name="SAM3 Detect",
-            category="detection/",
+            category="detection",
             search_aliases=["sam3", "segment anything", "open vocabulary", "text detection", "segment"],
             inputs=[
                 io.Model.Input("model", display_name="model"),
@@ -265,7 +265,7 @@ def define_schema(cls):
         return io.Schema(
             node_id="SAM3_VideoTrack",
             display_name="SAM3 Video Track",
-            category="detection/",
+            category="detection",
             search_aliases=["sam3", "video", "track", "propagate"],
             inputs=[
                 io.Image.Input("images", display_name="images", tooltip="Video frames as batched images"),
@@ -321,7 +321,7 @@ def define_schema(cls):
         return io.Schema(
             node_id="SAM3_TrackPreview",
             display_name="SAM3 Track Preview",
-            category="detection/",
+            category="detection",
             inputs=[
                 SAM3TrackData.Input("track_data", display_name="track_data"),
                 io.Image.Input("images", display_name="images", optional=True),
@@ -475,7 +475,7 @@ def define_schema(cls):
         return io.Schema(
             node_id="SAM3_TrackToMask",
             display_name="SAM3 Track to Mask",
-            category="detection/",
+            category="detection",
             inputs=[
                 SAM3TrackData.Input("track_data", display_name="track_data"),
                 io.String.Input("object_indices", display_name="object_indices", default="",

comfy_extras/nodes_stable_cascade.py

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

comfy_extras/nodes_textgen.py

@@ -26,7 +26,8 @@ def define_schema(cls):
 
         return io.Schema(
             node_id="TextGenerate",
-            category="textgen",
+            display_name="Generate Text",
+            category="text",
             search_aliases=["LLM", "gemma"],
             inputs=[
                 io.Clip.Input("clip"),
@@ -157,6 +158,7 @@ def define_schema(cls):
         parent_schema = super().define_schema()
         return io.Schema(
             node_id="TextGenerateLTX2Prompt",
+            display_name="Generate LTX2 Prompt",
             category=parent_schema.category,
             inputs=parent_schema.inputs,
             outputs=parent_schema.outputs,

comfy_extras/nodes_torch_compile.py

@@ -10,7 +10,7 @@ class TorchCompileModel(io.ComfyNode):
     def define_schema(cls) -> io.Schema:
         return io.Schema(
             node_id="TorchCompileModel",
-            category="_for_testing",
+            category="experimental",
             inputs=[
                 io.Model.Input("model"),
                 io.Combo.Input(