Update app.py

app.py

@@ -1419,6 +1419,40 @@ def img_to_image(image, prompt, neg_prompt, strength, steps, guidance_scale,
             drawing_keywords = ["drawing", "illustration", "sketch", "painting", "artwork", "watercolor"]
 
 
+
+            if any(keyword in prompt_lower for keyword in anime_keywords):
+    print("🎨 ANIME-TRANSFORM-MODUS")
+
+    def smoothstep(min_val, max_val, x):
+    x = max(0, min(1, (x - min_val) / (max_val - min_val)))
+    return x * x * (3 - 2 * x)
+
+    # 1️⃣ Transformationsdruck (radikal erst spät)
+    adj_strength = 0.30 + 0.55 * smoothstep(0.35, 0.9, ui_strength)
+    adj_strength = max(0.3, min(adj_strength, 0.85))
+
+    # 2️⃣ ControlNet: lange frei, dann stabilisieren
+    controlnet_strength = 0.30 + 0.52 * smoothstep(0.65, 0.9, ui_strength)
+    controlnet_strength = max(0.25, min(controlnet_strength, 0.85))
+
+    # 3️⃣ Anime-Ratios (normiert!)
+    depth_ratio = 0.55 + 0.15 * smoothstep(0.5, 0.9, ui_strength)
+    canny_ratio = 1.0 - depth_ratio
+
+    # 4️⃣ Conditioning
+    conditioning_scale = [
+        controlnet_strength * depth_ratio,
+        controlnet_strength * canny_ratio
+    ]
+
+    print(f"UI Strength: {ui_strength}")
+    print(f"adj_strength: {adj_strength:.3f}")
+    print(f"controlnet_strength: {controlnet_strength:.3f}")
+    print(f"Depth: {depth_ratio*100:.1f}%, Canny: {canny_ratio*100:.1f}%")
+    print(f"conditioning_scale: {conditioning_scale}")
+            
+
+
             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