Update app.py

app.py

@@ -5,13 +5,13 @@ from diffusers import DiffusionPipeline, DDIMScheduler
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 scheduler = DDIMScheduler.from_pretrained('li-yan/diffusion-aurora-256')
-scheduler.set_timesteps(num_inference_steps=40)
+scheduler.set_timesteps(num_inference_steps=20)
 
 pipeline = DiffusionPipeline.from_pretrained(
     'li-yan/diffusion-aurora-256', scheduler=scheduler).to(device)
 
 def image_gen(name):
-	images = pipeline(num_inference_steps=40).images
+	images = pipeline(num_inference_steps=20).images
 	return images[0]
 
 css = ".output-image {height: 256px !important; width: 256px !important;}"