Update app.py

app.py

@@ -29,6 +29,7 @@ pipe.to(device)
 MAX_SEED = 2**32 - 1
 MAX_IMAGE_SIZE = 1024
 
+@spaces.GPU
 def generate_image(prompt, negative_prompt, seed, randomize_seed, width, height, guidance_scale, num_inference_steps):
     if randomize_seed or seed == 0:
         seed = torch.randint(0, MAX_SEED, (1,)).item()