diff --git a/comfy_extras/nodes_sdupscale.py b/comfy_extras/nodes_sdupscale.py
index ea283e971..5c247fb49 100644
--- a/comfy_extras/nodes_sdupscale.py
+++ b/comfy_extras/nodes_sdupscale.py
@@ -9,7 +9,7 @@ class SD_4XUpscale_Conditioning(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="SD_4XUpscale_Conditioning",
-            category="model/conditioning/upscale_diffusion",
+            category="model/conditioning/stable diffusion upscaler",
             inputs=[
                 io.Image.Input("images"),
                 io.Conditioning.Input("positive"),
diff --git a/comfy_extras/nodes_stable3d.py b/comfy_extras/nodes_stable3d.py
index df3f18bfd..b0eba819b 100644
--- a/comfy_extras/nodes_stable3d.py
+++ b/comfy_extras/nodes_stable3d.py
@@ -65,7 +65,7 @@ class StableZero123_Conditioning_Batched(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="StableZero123_Conditioning_Batched",
-            category="model/conditioning/stable_zero123",
+            category="model/conditioning/stable zero123",
             inputs=[
                 io.ClipVision.Input("clip_vision"),
                 io.Image.Input("init_image"),
diff --git a/comfy_extras/nodes_stable_cascade.py b/comfy_extras/nodes_stable_cascade.py
index e55f248ae..c10df6503 100644
--- a/comfy_extras/nodes_stable_cascade.py
+++ b/comfy_extras/nodes_stable_cascade.py
@@ -93,7 +93,7 @@ class StableCascade_StageB_Conditioning(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="StableCascade_StageB_Conditioning",
-            category="model/conditioning/stable_cascade",
+            category="model/conditioning/stable cascade",
             inputs=[
                 io.Conditioning.Input("conditioning"),
                 io.Latent.Input("stage_c"),
diff --git a/comfy_extras/nodes_wan.py b/comfy_extras/nodes_wan.py
index d73be8e00..6f40422a7 100644
--- a/comfy_extras/nodes_wan.py
+++ b/comfy_extras/nodes_wan.py
@@ -1252,7 +1252,7 @@ class Wan22ImageToVideoLatent(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="Wan22ImageToVideoLatent",
-            category="model/conditioning/inpaint",
+            category="model/conditioning/wan",
             inputs=[
                 io.Vae.Input("vae"),
                 io.Int.Input("width", default=1280, min=32, max=nodes.MAX_RESOLUTION, step=32),
diff --git a/nodes.py b/nodes.py
index 118b2f025..a97f9bdc5 100644
--- a/nodes.py
+++ b/nodes.py
@@ -438,7 +438,7 @@ class InpaintModelConditioning:
     RETURN_NAMES = ("positive", "negative", "latent")
     FUNCTION = "encode"
 
-    CATEGORY = "model/conditioning/inpaint"
+    CATEGORY = "model/conditioning"
 
     def encode(self, positive, negative, pixels, vae, mask, noise_mask=True):
         x = (pixels.shape[1] // 8) * 8
@@ -1088,7 +1088,7 @@ class StyleModelApply:
     RETURN_TYPES = ("CONDITIONING",)
     FUNCTION = "apply_stylemodel"
 
-    CATEGORY = "model/conditioning/style_model"
+    CATEGORY = "model/conditioning"
 
     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)