Update app.py

app.py

@@ -111,17 +111,18 @@ def load_and_prepare_model(model_id):
         "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')
-    pipe.unet.set_attn_processor(AttnProcessor2_0())
 
-    pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", algorithm_type="sde-dpmsolver++")
     return pipe
 
 # Preload and compile both models