Update app.py

app.py

@@ -1062,7 +1062,7 @@ text_embeddings = torch.cat([uncond_embeddings, text_embeddings])
 
 # Prep Scheduler
 set_timesteps(scheduler, num_inference_steps)
-
+ 
 # Prep latents
 latents = torch.randn(
   (batch_size, unet.in_channels, height // 8, width // 8),