Update app.py

app.py

@@ -101,13 +101,13 @@ def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str
     if not negative:
         negative = ""
     return p.replace("{prompt}", positive), n + negative
-
+https://huggingface.co/BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/blob/main/
 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).to('cuda')
-   #   vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae", torch_dtype=torch.float32,safety_checker=None).to(torch.bfloat16)
-    vae = AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE", torch_dtype=torch.float32,safety_checker=None).to(torch.bfloat16)
+    vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae", torch_dtype=torch.float32,safety_checker=None).to(torch.bfloat16)
+   #   vae = AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors", torch_dtype=torch.float32,safety_checker=None).to(torch.bfloat16)
     #  vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", safety_checker=None).to('cuda')
     pipe = StableDiffusionXLPipeline.from_pretrained(
         model_id,