Update app.py

app.py

@@ -65,11 +65,18 @@ def generate_tryon(person_img, cloth_img):
         raise gr.Error("Both images required!")
     
     try:
-        # person_img and cloth_img are already PIL Images, no conversion needed
         print("Images received as PIL", file=sys.stderr)
         
         load_models()
         
+        # CRITICAL: Clear cache and create fresh copies
+        gc.collect()
+        if torch.cuda.is_available():
+            torch.cuda.empty_cache()
+        
+        person_img = person_img.copy()
+        cloth_img = cloth_img.copy()
+        
         target_height = 1024
         target_width = 768
         person_img = resize_and_crop(person_img, (target_width, target_height))
@@ -77,6 +84,8 @@ def generate_tryon(person_img, cloth_img):
         
         mask = automasker(person_img, "upper")['mask']
         gc.collect()
+        if torch.cuda.is_available():
+            torch.cuda.empty_cache()
         
         result = pipeline(
             image=person_img,
@@ -84,7 +93,7 @@ def generate_tryon(person_img, cloth_img):
             mask=mask,
             num_inference_steps=50,
             guidance_scale=2.5,
-            seed=42,
+            seed=None,  # CHANGED: Random seed for different results
             height=target_height,
             width=target_width
         )[0]