Update app.py

app.py

@@ -1172,15 +1172,28 @@ def img_to_image(image, prompt, neg_prompt, strength, steps, guidance_scale,
                 # 1. Basierend auf der UI-Stärke (strength) berechnen
                 adj_strength = 0.15 + 0.8 * ui_strength
                 controlnet_strength = 0.85 - 0.83 * ui_strength
-                pose_ratio = 0.85 - 0.4 * smoothstep(0.4, 0.8, ui_strength)
+
+
+                # 2. DYNAMISCHE POSE-ANPASSUNG: Mehr Pose bei hoher Stärke für Stabilität!
+                # Standard: 0.85 → 0.45 (wie bisher)
+                base_pose_ratio = 0.85 - 0.4 * smoothstep(0.4, 0.8, ui_strength)
+    
+                # Pose-Boost bei hoher UI-Stärke (verhindert kleine/verdrehte Körper)
+                if ui_strength > 0.7:
+                    pose_boost = (ui_strength - 0.7) * 0.5  # 0 → 0.1 bei UI=0.9
+                    pose_ratio = base_pose_ratio + pose_boost
+                else:
+                    pose_ratio = base_pose_ratio
+                    
+    
                 canny_ratio = 1.0 - pose_ratio
          
                 
                 # 2. Werte auf sinnvolle Bereiche begrenzen (Clipping)
-                adj_strength = max(0.15, min(adj_strength, 0.95))
-                controlnet_strength = max(0.08, min(controlnet_strength, 0.85))
-                pose_ratio = max(0.4, min(pose_ratio, 0.85))
-                canny_ratio = max(0.15, min(canny_ratio, 0.6))
+                adj_strength = max(0.15, min(adj_strength, 0.92))
+                controlnet_strength = max(0.12, min(controlnet_strength, 0.85))
+                pose_ratio = max(0.45, min(pose_ratio, 0.75))
+                canny_ratio = max(0.25, min(canny_ratio, 0.55))
 
                 conditioning_scale = [
                     controlnet_strength * pose_ratio,  # Depth-Gewichtung