Update app.py

app.py

@@ -113,15 +113,16 @@ def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str
 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("ford442/sdxl-vae-bf16", safety_checker=None).to('cuda')
+   #   vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", torch_dtype=torch.bfloat16,safety_checker=None).to('cuda')
+    vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", safety_checker=None).to('cuda')
     pipe = StableDiffusionXLPipeline.from_pretrained(
         model_id,
-        torch_dtype=torch.bfloat16,
+      #  torch_dtype=torch.bfloat16,
         add_watermarker=False,
         use_safetensors=True,
         vae=vae,
     )
+    pipe.unet.to(torch.bfloat16)
     pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
     pipe.to('cuda')
     #pipe.to(device=device, dtype=torch.bfloat16)