Update inpainting_module.py

inpainting_module.py

@@ -508,14 +508,14 @@ class InpaintingModule:
                 canny_array = np.array(canny_image)
                 mask_array = np.array(mask.convert('L'))
 
-                # In masked region, reduce Canny edge strength by 80%
+                # In masked region, completely suppress Canny edges
                 # This prevents ControlNet from locking original colors
                 mask_region = mask_array > 128  # White = masked area
-                canny_array[mask_region] = (canny_array[mask_region] * 0.2).astype(np.uint8)
-                # ↑ Keep 20% edge strength for basic shape preservation
+                canny_array[mask_region] = 0
+                # ↑ Complete suppression gives prompt maximum control over color transformation
 
                 canny_image = Image.fromarray(canny_array)
-                logger.info("Applied mask-aware ControlNet: weakened edges in masked region by 80%")
+                logger.info("Applied mask-aware ControlNet: suppressed edges in masked region completely")
 
             return canny_image
 
@@ -917,7 +917,7 @@ class InpaintingModule:
 
             # Conditional prompt enhancement based on template
             # Check if we should enhance the prompt or use it directly
-            should_enhance = kwargs.get('enhance_prompt', True)  # Default: enhance
+            should_enhance = kwargs.get('enhance_prompt', False)  # Default: no enhancement
 
             if should_enhance:
                 if progress_callback: