Update app.py

app.py

@@ -67,7 +67,7 @@ def auto_negative_prompt(positive_prompt):
     "model", "actor", "actress", "celebrity", "avatar", "group"]):
         negatives.append(
             "blurry face, lowres face, deformed pupils, bad anatomy, malformed hands, extra fingers, uneven eyes, distorted face, "
-            "unrealistic skin, mutated, ugly, disfigured, poorly drawn face, "
+            "unrealisticy skin, mutated, ugly, disfigured, poorly drawn face, "
             "missing limbs, extra limbs, fused fingers, too many fingers, bad teeth, "
             "mutated hands, long neck, extra wings, multiple wings,grainy face, noisy face, "
             "compression artifacts, rendering artifacts, digital artifacts, overprocessed face, oversmoothed face "
@@ -421,7 +421,10 @@ def enhanced_composite_with_sam(original_image, inpaint_result, original_mask,
             edited_rgba = edited_region_fullsize.convert("RGBA")
             # Dadurch werden in die Folie der weichen SAM-Maske wieder an den Stellen schwarze/transparente Löcher
             # gerissen wo der Hintergrund innerhalb der BBox bleiben muß!
-            mask_rgba = soft_mask.convert("L") # SAM-Maske als Alpha-Kanal
+            mask_rgba = soft_mask.convert("L") # SAM-Maske als Alpha-Kanal also als Löcherfolie
+
+            print(f"🔍 Alpha-Maske Werte: min={np.array(mask_rgba).min()}, max={np.array(mask_rgba).max()}")
+            print(f"🔍 Generierte Person Alpha: {edited_rgba.getchannel('A').getextrema()}")
 
             # generiere hiermit ein neues transparantes Bild in original BBox-Größe (unsichtbare Trägerfolie)
             temp_image = Image.new("RGBA", original_bbox_size, (0, 0, 0, 0))