Update app.py

app.py

@@ -7,7 +7,7 @@ from diffusers import StableDiffusionPipeline
 pipe = StableDiffusionPipeline.from_pretrained("nan2/lcbanner", torch_type=torch.float16)
 pipe = pipe.to("cuda")
 #torch.backends.cudnn.benchmark = True
-num_samples = 2
+num_samples = 1
 
 def infer(prompt):
     images = pipe([prompt] * num_samples, guidance_scale=7.5)["sample"]