Update app.py

app.py

@@ -115,15 +115,15 @@ def load_and_prepare_model(model_id):
     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("ford442/sdxl-vae-bf16", safety_checker=None)
-    sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
     pipe = StableDiffusionXLPipeline.from_pretrained(
         model_id,
       #  torch_dtype=torch.bfloat16,
         add_watermarker=False,
         use_safetensors=True,
         vae=vae,
-        scheduler=sched
-    ).to('cuda')
+    )
+    pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
+    pipe.to('cuda')
     #pipe.to(device=device, dtype=torch.bfloat16)
     
     #sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", algorithm_type="dpmsolver++")