Update app.py

app.py

@@ -1155,32 +1155,27 @@ def img_to_image(image, prompt, neg_prompt, strength, steps, guidance_scale,
             #    print("👤 Humanoid → Humanoid → Ratio 85:15 (Pose:Canny)")
 
             if any(keyword in prompt_lower for keyword in humanoid_keywords):
-                # Der Parameter 'strength' ist die UI-Stärke
-                ui_strength = strength  # Benenne um für Klarheit
+                # Der Parameter 'strength' ist die UI-Veränderungsstärke d.h. die Einstellungen
+                # für Controlnet werden anhand von strength berechnet:
+                ui_strength = strength  
     
                 # 1. Basierend auf der UI-Stärke (strength) berechnen
-                #adj_strength = ui_strength * 0.8
-                #controlnet_strength = 0.5 - (ui_strength * 0.35)
-                #pose_ratio = 0.75 - (ui_strength * 0.15)
-                #canny_ratio = 0.25 + (ui_strength * 0.15)
-
-                adj_strength = ui_strength
-                controlnet_strength = 0.26
-                pose_ratio = 0.665
-                canny_ratio = 0.335
-
-                conditioning_scale = [0.173, 0.087]
+                adj_strength = ui_strength * 0.8
+                controlnet_strength = 0.6 - (ui_strength * 0.4)
+                pose_ratio = 0.75 - (ui_strength * 0.1)
+                canny_ratio = 0.25 + (ui_strength * 0.1)
+         
                 
                 # 2. Werte auf sinnvolle Bereiche begrenzen (Clipping)
-                #adj_strength = max(0.1, min(adj_strength, 0.8))
-                #controlnet_strength = max(0.15, min(controlnet_strength, 0.5))
-                #pose_ratio = max(0.5, min(pose_ratio, 0.8))
-                #canny_ratio = max(0.2, min(canny_ratio, 0.5))
-
-                #conditioning_scale = [
-                #    controlnet_strength * depth_ratio,  # Depth-Gewichtung
-                #    controlnet_strength * canny_ratio   # Canny-Gewichtung
-                #]
+                adj_strength = max(0.6, min(adj_strength, 0.9))
+                controlnet_strength = max(0.15, min(controlnet_strength, 0.6))
+                pose_ratio = max(0.6, min(pose_ratio, 0.8))
+                canny_ratio = max(0.2, min(canny_ratio, 0.4))
+
+                conditioning_scale = [
+                    controlnet_strength * depth_ratio,  # Depth-Gewichtung
+                    controlnet_strength * canny_ratio   # Canny-Gewichtung
+                ]
     
                 print(f"👤 Humanoid → Humanoid (UI-Stärke: {ui_strength})")
                 print(f"   adj_strength: {adj_strength:.2f}, controlnet: {controlnet_strength:.2f}")