Update app.py

app.py

@@ -13,10 +13,10 @@ repo = "ByteDance/SDXL-Lightning"
 ckpt = "sdxl_lightning_4step_unet.safetensors" # Use the correct ckpt for your step setting!
 # Load model.
 pipe_box=[]
-device="cuda:0"
 
 @spaces.GPU()
 def init():
+    device="cuda:0"
     #unet = UNet2DConditionModel.from_config(base, subfolder="unet").to(device, torch.float16)
     #unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device=device))
     #pipe = StableDiffusionXLPipeline.from_pretrained(base, unet=unet, torch_dtype=torch.float16, variant="fp16").to(device)
@@ -25,6 +25,7 @@ def init():
     pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
     pipe_box.append(pipe)
 #init()
+@spaces.GPU()
 def run():
     init()
     pipe=pipe_box[0]