chore: Various QoL updates of nodes display names, descriptions and categories (CORE-190, CORE-191) (#13830)

* Move detection category under image category

* Add missing categories

* Move detection nodes to detection category

* Move save nodes to image root catefory

* Rename postprocessors

* Move mask category under image

* Move guiders category to parent level at root of sampling category

* Move custom_sampling category to parent level at the root of sampling category

* Modify description of LoRA loaders

* Fix node id SolidMask

* Move VOID Quadmask under image/mask

* Group compositing nodes under image/compositing

* Move load image as mask to image category for consistency with other load image nodes

* Align display name with Load Checkpoint

* Move dataset category under training category

* Rename Number Convert to Conver Number (verb first)

* Rename Canny node

* Revert wanBlockSwap + description

* Add description to RemoveBackground node

* Revert category update of dataset

comfy_extras/nodes_void.py

@@ -122,7 +122,8 @@ class VOIDQuadmaskPreprocess(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="VOIDQuadmaskPreprocess",
-            category="mask/video",
+            display_name="VOID Quadmask Preprocessor",
+            category="image/mask",
             inputs=[
                 io.Mask.Input("mask"),
                 io.Int.Input("dilate_width", default=0, min=0, max=50, step=1,
@@ -392,7 +393,7 @@ class VOIDWarpedNoiseSource(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="VOIDWarpedNoiseSource",
-            category="sampling/custom_sampling/noise",
+            category="sampling/noise",
             inputs=[
                 io.Latent.Input("warped_noise",
                     tooltip="Warped noise latent from VOIDWarpedNoise"),
@@ -454,7 +455,7 @@ class VOIDSampler(io.ComfyNode):
     def define_schema(cls):
         return io.Schema(
             node_id="VOIDSampler",
-            category="sampling/custom_sampling/samplers",
+            category="sampling/samplers",
             inputs=[],
             outputs=[io.Sampler.Output()],
         )