Update app.py

app.py

@@ -80,8 +80,6 @@ HF_TOKEN = os.getenv("HF_TOKEN")
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
     
 def load_and_prepare_model():
-    model_dtypes = {"ford442/RealVisXL_V5.0_BF16": torch.bfloat16,}
-    dtype = model_dtypes.get(model_id, torch.bfloat16)  # Default to float32 if not found
     vaeXL = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae", safety_checker=None, use_safetensors=False).to(device=device, dtype=torch.bfloat16)
     sched = EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1,use_karras_sigmas=True)
     pipe = StableDiffusionXLPipeline.from_pretrained(