Update app.py

app.py

@@ -1,9 +1,10 @@
+import gradio as gr
+import spaces
+
 import torch
 from diffusers import StableDiffusionXLPipeline, UNet2DConditionModel, EulerDiscreteScheduler
 from huggingface_hub import hf_hub_download
 from safetensors.torch import load_file
-import gradio as gr
-import spaces
 
 base = "stabilityai/stable-diffusion-xl-base-1.0"
 repo = "ByteDance/SDXL-Lightning"
@@ -14,7 +15,7 @@ unet = UNet2DConditionModel.from_config(base, subfolder="unet").to("cuda", torch
 unet.load_state_dict(load_file(hf_hub_download(repo, ckpt), device="cuda"))
 pipe = StableDiffusionXLPipeline.from_pretrained(base, unet=unet, torch_dtype=torch.float16, variant="fp16").to("cuda")
 
-# Ensure sampler uses "trailing" timesteps and "sample" prediction type.
+# Ensure sampler uses "trailing" timesteps.
 pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
 
 # Load model.