Update app.py

app.py

@@ -107,22 +107,19 @@ def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str
     return p.replace("{prompt}", positive), n + negative
 
 def load_and_prepare_model(model_id):
-    model_dtypes = {
-        "ford442/RealVisXL_V5.0_BF16": torch.bfloat16,
-    }
+    model_dtypes = {"ford442/RealVisXL_V5.0_BF16": torch.bfloat16,}
     dtype = model_dtypes.get(model_id, torch.bfloat16)  # Default to float32 if not found
-    sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", algorithm_type="sde-dpmsolver++")
-
     vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", torch_dtype=torch.bfloat16,safety_checker=None)
     pipe = StableDiffusionXLPipeline.from_pretrained(
         model_id,
         torch_dtype=torch.bfloat16,
         add_watermarker=False,
         use_safetensors=True,
-        scheduler=sched,
         vae=vae,
-    ).to('cuda')
-
+    )
+    sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", algorithm_type="sde-dpmsolver++")
+    pipe.scheduler=sched
+    pipe.to('cuda')
     return pipe
 
 # Preload and compile both models