Update app.py

app.py

@@ -16,6 +16,11 @@ dtype = torch.float16 if torch.cuda.is_available() else torch.float32
 pipeline = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=dtype).to(device)
 pipeline.load_ip_adapter("h94/IP-Adapter", subfolder="sdxl_models", weight_name="ip-adapter_sdxl.bin")
 
+def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
+    if randomize_seed:
+        seed = random.randint(0, 2000)
+    return seed
+    
 @spaces.GPU(enable_queue=True)
 def create_image(image_pil,
                  prompt,
@@ -44,7 +49,7 @@ def create_image(image_pil,
         pipeline.set_ip_adapter_scale(scale)
 
     style_image = load_image(image_pil)
-    generator = torch.Generator(device=device).manual_seed(randomize_seed_fn(seed, False))
+    generator = torch.Generator(device=device).manual_seed(randomize_seed_fn(seed, True))
     
     image = pipeline(
         prompt=prompt,