Update app.py

app.py

@@ -2,6 +2,8 @@ import gradio as gr
 from pathlib import Path
 from diffusers import StableDiffusionPipeline
 from PIL import Image
+from huggingface_hub import notebook_login
+if not (Path.home()/'.huggingface'/'token').exists(): notebook_login()
 
 
 import torch, logging
@@ -18,7 +20,7 @@ model_id = "CompVis/stable-diffusion-v1-4"
 device = "cuda" if torch.cuda.is_available() else "cpu"
 context = autocast if device == "cuda" else nullcontext
 
-pipe = StableDiffusionPipeline.from_pretrained(model_id, revision="fp16",torch_dtype=torch.float16,use_auth_token=True).to(device)
+pipe = StableDiffusionPipeline.from_pretrained(model_id, revision="fp16",torch_dtype=torch.float16).to(device)
 
 
 def infer(prompt,samples):