Update app.py

app.py

@@ -1452,6 +1452,39 @@ def img_to_image(image, prompt, neg_prompt, strength, steps, guidance_scale,
                 print(f"   Conditioning Scale: [{conditioning_scale[0]:.3f}, {conditioning_scale[1]:.3f}]")
 
 
+            if any(keyword in prompt_lower for keyword in anime_keywords):
+                # Anime: Mehr Denoising für Stiländerungen
+                adj_strength = 0.55 + (ui_strength * 0.3)  # 0.2-1.0
+
+
+                if ui_strength > 0.6:  # Bei radikalen Änderungen
+                    controlnet_strength = 0.3 + (ui_strength * 0.4)  # 0.3 → 0.66
+                else:  # Bei milden Änderungen
+                    controlnet_strength = 0.65 - (ui_strength * 0.3)  # 0.65 → 0.35
+        
+        
+                # Anime: Weniger Depth, mehr Canny
+                depth_ratio = 0.7 - (ui_strength * 0.2)  # 0.6 → 0.3
+                canny_ratio = 0.1 + (ui_strength * 0.1)  # 0.4 → 0.8
+
+                #Clipping
+                adj_strength = max(0.3, min(adj_strength, 0.85))
+                controlnet_strength = max(0.25, min(controlnet_strength, 0.75))
+                depth_ratio = max(0.4, min(depth_ratio, 0.8))
+                canny_ratio = max(0.05, min(canny_ratio, 0.15))
+                
+
+                conditioning_scale = [
+                    controlnet_strength * depth_ratio,
+                    controlnet_strength * canny_ratio
+                ]
+        
+                print("   🎨 Anime-Modus: Mehr Freiheit für Stiländerungen")
+                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}]")
+
+
 
              
             elif any(keyword in prompt_lower for keyword in drawing_keywords):