Update app.py

app.py

@@ -93,6 +93,7 @@ style_list = [
 styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in style_list}
 DEFAULT_STYLE_NAME = "Style Zero"
 STYLE_NAMES = list(styles.keys())
+HF_TOKEN = os.getenv("HF_TOKEN")
 
 def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str, str]:
     if style_name in styles:
@@ -107,7 +108,7 @@ def load_and_prepare_model(model_id):
     model_dtypes = {"ford442/RealVisXL_V5.0_BF16": torch.bfloat16,}
     dtype = model_dtypes.get(model_id, torch.bfloat16)  # Default to float32 if not found
     #vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", torch_dtype=torch.bfloat16,safety_checker=None)
-   # vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",safety_checker=None)
+    vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",safety_checker=None)
   #  vae = AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",safety_checker=None).to(torch.bfloat16)
     #  vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", safety_checker=None).to('cuda')
 
@@ -118,7 +119,9 @@ def load_and_prepare_model(model_id):
         'ford442/Juggernaut-XI-v11-fp32',
         #torch_dtype=torch.bfloat16,
         add_watermarker=False,
-       # use_safetensors=True,
+        custom_pipeline="lpw_stable_diffusion_xl",
+        use_safetensors=True,
+        use_auth_token=HF_TOKEN,
      #  vae=AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",repo_type='model',safety_checker=None),
      #   vae=AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",repo_type='model',safety_checker=None, torch_dtype=torch.float32),
        # vae=AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16",repo_type='model',safety_checker=None),