Update app.py

app.py

@@ -40,7 +40,8 @@ def generate_image(prompt, ckpt):
         pipe.unet.load_state_dict(torch.load(hf_hub_download(repo, checkpoint), map_location="cuda"))
         loaded = num_inference_steps
 
-    timesteps = [399] if num_inference_steps == 1 else []
+    if num_inference_steps == 1:
+        timesteps = [399]
     results = pipe(prompt, num_inference_steps=num_inference_steps, guidance_scale=0, timesteps=timesteps)