Update app.py

app.py

@@ -6,9 +6,10 @@ from PIL import Image
 from diffusers import DiffusionPipeline 
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
+
 pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-0.9", safety_checker=None)
 pipe = pipe.to(device)
+pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
 
 def genie (prompt, negative_prompt, scale, steps, seed):
      generator = torch.Generator(device=device).manual_seed(seed)