Update app.py

app.py

@@ -3,7 +3,7 @@ import numpy as np
 import random
 
 import spaces #[uncomment to use ZeroGPU]
-from diffusers import DiffusionPipeline
+from diffusers import StableDiffusionXLPipeline, EulerAncestralDiscreteScheduler
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -15,6 +15,12 @@ else:
     torch_dtype = torch.float32
 
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
+pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
+pipe.scheduler.register_to_config(
+    prediction_type="v_prediction",
+    rescale_betas_zero_snr=True,
+)
+pipe.enable_xformers_memory_efficient_attention()
 pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max