Update stable_diffusion_demo.py

stable_diffusion_demo.py

@@ -1,10 +1,10 @@
+import spaces
 from PIL import Image
 from tqdm.auto import tqdm
 import torch
 from transformers import CLIPTextModel, CLIPTokenizer
 from diffusers import AutoencoderKL, UNet2DConditionModel, PNDMScheduler, LMSDiscreteScheduler, StableDiffusionPipeline, UniPCMultistepScheduler
 from torchvision import transforms
-import spaces
 
 torch_device = "cuda" if torch.cuda.is_available() else ("mps" if torch.mps.is_available() else "cpu")