Update controlnet_module.py

controlnet_module.py

@@ -840,12 +840,26 @@ class ControlNetProcessor:
 
                 if use_crop_strategy:
                     # Berechnung: wo wäre die Original-BBox im verkleinerten Crop-(Kopf am Rand des Bildes)
-                    scale_x = image.width / original_image.width
-                    scale_y = image.height / original_image.height
-                    bbox_x1 = int(original_bbox[0] * scale_x)
-                    bbox_y1 = int(original_bbox[1] * scale_y)
-                    bbox_x2 = int(original_bbox[2] * scale_x)
-                    bbox_y2 = int(original_bbox[3] * scale_y)
+                    #scale_x = image.width / original_image.width
+                    #scale_y = image.height / original_image.height
+                    #bbox_x1 = int(original_bbox[0] * scale_x)
+                    #bbox_y1 = int(original_bbox[1] * scale_y)
+                    #bbox_x2 = int(original_bbox[2] * scale_x)
+                    #bbox_y2 = int(original_bbox[3] * scale_y)
+                    
+                    bbox_x1 = original_bbox[0] - crop_x1
+                    bbox_y1 = original_bbox[1] - crop_y1
+                    bbox_x2 = original_bbox[2] - crop_x1
+                    bbox_y2 = original_bbox[3] - crop_y1
+    
+                    # Sicherstellen, dass innerhalb des Crops (wie in SCHRITT 3)
+                    bbox_x1 = max(0, bbox_x1)
+                    bbox_y1 = max(0, bbox_y1)
+                    bbox_x2 = min(image.width, bbox_x2)
+                    bbox_y2 = min(image.height, bbox_y2)
+    
+                    print(f"   🎯 Heuristik-BBox im Crop: [{bbox_x1}, {bbox_y1}, {bbox_x2}, {bbox_y2}]")
+                                       
                 else:
                     # Für Original: Direkt Original-BBox verwenden
                     bbox_x1, bbox_y1, bbox_x2, bbox_y2 = original_bbox