Update app.py

app.py

@@ -10,11 +10,6 @@ device = "cuda"
 model_repo_id = "anon4ik/noobaiXLNAIXL_epsilonPred05Version"  # Replace to the model you would like to use
 
 pipe = StableDiffusionXLPipeline.from_pretrained(model_repo_id, torch_dtype=torch.float16)
-pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
-pipe.scheduler.register_to_config(
-    prediction_type="epsilon",
-    rescale_betas_zero_snr=True,
-)
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max