spaces

app.py

@@ -1,12 +1,13 @@
 
+import spaces
 import torch
 from PIL import Image
 from diffusers import ControlNetModel, DiffusionPipeline
 from diffusers.utils import load_image
 import gradio as gr 
 import warnings
-import spaces
 warnings.filterwarnings("ignore")
+
 def resize_for_condition_image(input_image: Image, resolution: int):
     input_image = input_image.convert("RGB")
     W, H = input_image.size