Update app.py

app.py

@@ -15,6 +15,7 @@ def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
     return seed
 
 device = torch.device('cuda:0' if torch.cuda.is_available() else 'cpu')
+print(torch.cuda.is_available())
 pipeline = AutoPipelineForText2Image.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0", torch_dtype=torch.float16).to(device)
 pipeline.load_ip_adapter("h94/IP-Adapter", subfolder="sdxl_models", weight_name="ip-adapter_sdxl.bin")
 
@@ -55,6 +56,7 @@ def create_image(image_pil,
     print('image loaded')
     generator = torch.Generator().manual_seed(randomize_seed_fn(seed, False))
     print('generator loaded')
+    print(pipeline.model.device)
     image = pipeline(
         prompt=prompt,
         ip_adapter_image=style_image,