diff --git a/comfy_extras/nodes_mask.py b/comfy_extras/nodes_mask.py
index c9b2a84d9..50c763d43 100644
--- a/comfy_extras/nodes_mask.py
+++ b/comfy_extras/nodes_mask.py
@@ -127,7 +127,7 @@ class MaskToImage(IO.ComfyNode):
             node_id="MaskToImage",
             search_aliases=["convert mask"],
             display_name="Convert Mask to Image",
-            category="mask",
+            category="image/mask",
             inputs=[
                 IO.Mask.Input("mask"),
             ],
@@ -149,7 +149,7 @@ class ImageToMask(IO.ComfyNode):
             node_id="ImageToMask",
             search_aliases=["extract channel", "channel to mask"],
             display_name="Convert Image to Mask",
-            category="mask",
+            category="image/mask",
             inputs=[
                 IO.Image.Input("image"),
                 IO.Combo.Input("channel", options=["red", "green", "blue", "alpha"]),
@@ -172,7 +172,8 @@ class ImageColorToMask(IO.ComfyNode):
         return IO.Schema(
             node_id="ImageColorToMask",
             search_aliases=["color keying", "chroma key"],
-            category="mask",
+            display_name="Convert Image Color to Mask",
+            category="image/mask",
             inputs=[
                 IO.Image.Input("image"),
                 IO.Int.Input("color", default=0, min=0, max=0xFFFFFF, step=1, display_mode=IO.NumberDisplay.number),
@@ -194,8 +195,9 @@ class SolidMask(IO.ComfyNode):
     @classmethod
     def define_schema(cls):
         return IO.Schema(
-            node_id="SolidMask",
-            category="mask",
+            node_id="CreateSolidMask",
+            display_name="Create Solid Mask",
+            category="image/mask",
             inputs=[
                 IO.Float.Input("value", default=1.0, min=0.0, max=1.0, step=0.01),
                 IO.Int.Input("width", default=512, min=1, max=nodes.MAX_RESOLUTION, step=1),
@@ -219,7 +221,7 @@ class InvertMask(IO.ComfyNode):
             node_id="InvertMask",
             search_aliases=["reverse mask", "flip mask"],
             display_name="Invert Mask",
-            category="mask",
+            category="image/mask",
             inputs=[
                 IO.Mask.Input("mask"),
             ],
@@ -241,7 +243,7 @@ class CropMask(IO.ComfyNode):
             node_id="CropMask",
             search_aliases=["cut mask", "extract mask region", "mask slice"],
             display_name="Crop Mask",
-            category="mask",
+            category="image/mask",
             inputs=[
                 IO.Mask.Input("mask"),
                 IO.Int.Input("x", default=0, min=0, max=nodes.MAX_RESOLUTION, step=1),
@@ -268,7 +270,7 @@ class MaskComposite(IO.ComfyNode):
             node_id="MaskComposite",
             search_aliases=["combine masks", "blend masks", "layer masks", "masks composition"],
             display_name="Combine Masks",
-            category="mask",
+            category="image/mask",
             inputs=[
                 IO.Mask.Input("destination"),
                 IO.Mask.Input("source"),
@@ -319,7 +321,7 @@ class FeatherMask(IO.ComfyNode):
             node_id="FeatherMask",
             search_aliases=["soft edge mask", "blur mask edges", "gradient mask edge"],
             display_name="Feather Mask",
-            category="mask",
+            category="image/mask",
             inputs=[
                 IO.Mask.Input("mask"),
                 IO.Int.Input("left", default=0, min=0, max=nodes.MAX_RESOLUTION, step=1),
@@ -367,7 +369,7 @@ class GrowMask(IO.ComfyNode):
             node_id="GrowMask",
             search_aliases=["expand mask", "shrink mask"],
             display_name="Grow Mask",
-            category="mask",
+            category="image/mask",
             inputs=[
                 IO.Mask.Input("mask"),
                 IO.Int.Input("expand", default=0, min=-nodes.MAX_RESOLUTION, max=nodes.MAX_RESOLUTION, step=1),
@@ -403,7 +405,8 @@ class ThresholdMask(IO.ComfyNode):
         return IO.Schema(
             node_id="ThresholdMask",
             search_aliases=["binary mask"],
-            category="mask",
+            display_name="Threshold Mask",
+            category="image/mask",
             inputs=[
                 IO.Mask.Input("mask"),
                 IO.Float.Input("value", default=0.5, min=0.0, max=1.0, step=0.01),
@@ -429,7 +432,7 @@ class MaskPreview(IO.ComfyNode):
             node_id="MaskPreview",
             search_aliases=["show mask", "view mask", "inspect mask", "debug mask"],
             display_name="Preview Mask",
-            category="mask",
+            category="image/mask",
             description="Saves the input images to your ComfyUI output directory.",
             inputs=[
                 IO.Mask.Input("mask"),
diff --git a/comfy_extras/nodes_post_processing.py b/comfy_extras/nodes_post_processing.py
index be6ec7434..c30052d76 100644
--- a/comfy_extras/nodes_post_processing.py
+++ b/comfy_extras/nodes_post_processing.py
@@ -595,7 +595,7 @@ class BatchMasksNode(io.ComfyNode):
             node_id="BatchMasksNode",
             search_aliases=["combine masks", "stack masks", "merge masks"],
             display_name="Batch Masks",
-            category="mask",
+            category="image/mask",
             inputs=[
                 io.Autogrow.Input("masks", template=autogrow_template)
             ],
diff --git a/nodes.py b/nodes.py
index 5755f0bb8..cbca01c03 100644
--- a/nodes.py
+++ b/nodes.py
@@ -1771,7 +1771,7 @@ class LoadImageMask(LoadImage):
             }
         }
 
-    CATEGORY = "mask"
+    CATEGORY = "image/mask"
     RETURN_TYPES = ("MASK",)
     FUNCTION = "load_image_mask"