puts nodes in sub menus

unfortunately breaks previous, but I should have done this from start

Author: EllangoK

post_processing/arithmetic_blend.py

@@ -17,7 +17,7 @@ def INPUT_TYPES(s):
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "arithmetic_blend_images"
 
-    CATEGORY = "postprocessing"
+    CATEGORY = "postprocessing/Blends"
 
     def arithmetic_blend_images(self, image1: torch.Tensor, image2: torch.Tensor, blend_mode: str):
         if blend_mode == "add":

post_processing/blend.py

@@ -24,7 +24,7 @@ def INPUT_TYPES(s):
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "blend_images"
 
-    CATEGORY = "postprocessing"
+    CATEGORY = "postprocessing/Blends"
 
     def blend_images(self, image1: torch.Tensor, image2: torch.Tensor, blend_factor: float, blend_mode: str):
         if image1.shape != image2.shape:

post_processing/blur.py

@@ -28,7 +28,7 @@ def INPUT_TYPES(s):
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "blur"
 
-    CATEGORY = "postprocessing"
+    CATEGORY = "postprocessing/Filters"
 
     def blur(self, image: torch.Tensor, blur_radius: int, sigma: float):
         if blur_radius == 0:

post_processing/canny_edge_detect.py

@@ -30,7 +30,7 @@ def INPUT_TYPES(s):
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "canny"
 
-    CATEGORY = "postprocessing"
+    CATEGORY = "postprocessing/Masks"
 
     def canny(self, image: torch.Tensor, lower_threshold: int, upper_threshold: int):
         batch_size, height, width, _ = image.shape

post_processing/chromatic_abberation.py

@@ -36,7 +36,7 @@ def INPUT_TYPES(s):
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "chromatic_aberration"
 
-    CATEGORY = "postprocessing"
+    CATEGORY = "postprocessing/Effects"
 
     def chromatic_aberration(self, image: torch.Tensor, red_shift: int, green_shift: int, blue_shift: int, red_direction: str, green_direction: str, blue_direction: str):
         def get_shift(direction, shift):

post_processing/color_correct.py

@@ -55,7 +55,7 @@ def INPUT_TYPES(s):
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "color_correct"
 
-    CATEGORY = "postprocessing"
+    CATEGORY = "postprocessing/Color Adjustments"
 
     def color_correct(self, image: torch.Tensor, temperature: float, hue: float, brightness: float, contrast: float, saturation: float, gamma: float):
         batch_size, height, width, _ = image.shape

post_processing/dissolve.py

@@ -22,7 +22,7 @@ def INPUT_TYPES(s):
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "dissolve_images"
 
-    CATEGORY = "postprocessing"
+    CATEGORY = "postprocessing/Blends"
 
     def dissolve_images(self, image1: torch.Tensor, image2: torch.Tensor, dissolve_factor: float):
         dither_pattern = torch.rand_like(image1)

post_processing/dodge_and_burn.py

@@ -23,7 +23,7 @@ def INPUT_TYPES(s):
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "dodge_and_burn"
 
-    CATEGORY = "postprocessing"
+    CATEGORY = "postprocessing/Blends"
 
     def dodge_and_burn(self, image: torch.Tensor, mask: torch.Tensor, intensity: float, mode: str):
         if mode in ["dodge", "color_dodge", "linear_dodge"]:

post_processing/film_grain.py

@@ -40,7 +40,7 @@ def INPUT_TYPES(s):
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "film_grain"
 
-    CATEGORY = "postprocessing"
+    CATEGORY = "postprocessing/Effects"
 
     def film_grain(self, image: torch.Tensor, intensity: float, scale: float, temperature: float, vignette: float):
         batch_size, height, width, _ = image.shape

post_processing/glow.py

@@ -28,7 +28,7 @@ def INPUT_TYPES(cls):
     RETURN_TYPES = ("IMAGE",)
     FUNCTION = "apply_glow"
 
-    CATEGORY = "postprocessing"
+    CATEGORY = "postprocessing/Effects"
 
     def apply_glow(self, image: torch.Tensor, intensity: float, blur_radius: int):
         blurred_image = self.gaussian_blur(image, 2 * blur_radius + 1)