Split some of the dependencies that are prone to problems into ComfyUI_LayerStyle_Advance

py/sharp_soft.py

@@ -1,11 +1,16 @@
-from .imagefunc import *
+import torch
+import copy
+import cv2
+import numpy as np
+from PIL import Image
+from .imagefunc import log, guidedFilter
+
 
-NODE_NAME = 'Sharp & Soft'
 
 class SharpAndSoft:
 
     def __init__(self):
-        pass
+        self.NODE_NAME = 'Sharp & Soft'
 
     @classmethod
     def INPUT_TYPES(self):
@@ -61,7 +66,7 @@ class SharpAndSoft:
             details = (imgB / imgG - 1) * detail_mult + 1
             dup[index] = np.clip(details * imgG - imgB + image, 0, 1)
 
-        log(f"{NODE_NAME} Processed {dup.shape[0]} image(s).", message_type='finish')
+        log(f"{self.NODE_NAME} Processed {dup.shape[0]} image(s).", message_type='finish')
         return (torch.from_numpy(dup),)