Update app.py

app.py

@@ -1037,13 +1037,53 @@ def img_to_image(image, prompt, neg_prompt, strength, steps, guidance_scale,
             print(f"🎯 OPTIMIERTER MODUS: Focus verändern")
             print(f"   Strength: {adj_strength:.2f}, ControlNet: {controlnet_strength:.3f}")
             print(f"   OpenPose: {pose_ratio*100}%, Canny: {canny_ratio*100}%")
-            
+
         elif mode == "environment_change":
             keep_environment = True
-            adj_strength = min(0.85, strength * 1.25)  # Standard-Berechnung
-            controlnet_strength = adj_strength * 0.3
-            print(f"🎯 MODUS: Umgebung ändern → Depth+Canny (keep_environment=True)")
-            
+    
+            # 1. OPTIMIERTE STÄRKE
+            adj_strength = 0.6  # Festwert statt Multiplikation
+    
+            # 2. CONTROLNET-STÄRKE ERHÖHT
+            controlnet_strength = 0.75  # Kritisch für Hintergrundkonsistenz
+    
+            # 3. DYNAMISCHE DEPTH:CANNY RATIO BASIEREND AUF PROMPT
+            prompt_lower = prompt.lower()
+    
+            # Heuristik für Naturszenen vs. Innenräume
+            nature_keywords = ["beach", "forest", "mountain", "ocean", "sky", "field", "landscape", "nature", "outdoor"]
+            interior_keywords = ["office", "room", "interior", "kitchen", "bedroom", "living room", "indoor", "wall", "furniture"]
+    
+            # Standard: Deine gewünschte 90:10 Verteilung
+            depth_ratio = 0.9
+            canny_ratio = 0.1
+    
+            # Anpassung für Innenräume (mehr Kantenerhalt)
+            if any(keyword in prompt_lower for keyword in interior_keywords):
+                depth_ratio = 0.8
+                canny_ratio = 0.2
+                print("🏠 Innenraum erkannt → Ratio 80:20 (Depth:Canny)")
+    
+            # Anpassung für Naturszenen (maximale Flexibilität)
+            elif any(keyword in prompt_lower for keyword in nature_keywords):
+                depth_ratio = 0.95
+                canny_ratio = 0.05
+                print("🌳 Naturszene erkannt → Ratio 95:5 (Depth:Canny)")
+            else:
+                print("🎯 Standard-Ratio 90:10 (Depth:Canny)")
+    
+            # 4. CONDITIONING SCALE BERECHNEN
+            conditioning_scale = [
+                controlnet_strength * depth_ratio,  # Depth-Gewichtung
+                controlnet_strength * canny_ratio   # Canny-Gewichtung
+            ]
+    
+            print(f"🎯 OPTIMIERTER MODUS: Umgebung ändern")
+            print(f"   Strength: {adj_strength}, ControlNet: {controlnet_strength}")
+            print(f"   Depth: {depth_ratio*100}%, Canny: {canny_ratio*100}%")
+            print(f"   Conditioning Scale: [{conditioning_scale[0]:.3f}, {conditioning_scale[1]:.3f}]")
+        
+                               
         else:  # face_only_change
             keep_environment = True
             adj_strength = min(0.85, strength * 1.25)  # Standard-Berechnung