Update app.py

app.py

@@ -3,12 +3,11 @@ import torch
 import numpy as np
 import modin.pandas as pd
 from PIL import Image
-from diffusers import DiffusionPipeline #EulerDiscreteScheduler
+from diffusers import DiffusionPipeline 
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
-
-#scheduler = EulerDiscreteScheduler.from_pretrained("stabilityai/stable-diffusion-2-1", subfolder="scheduler", prediction_type="v_prediction")
-pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-2-1", safety_checker=None)
+pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
+pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-0.9", safety_checker=None)
 pipe = pipe.to(device)
 
 def genie (prompt, negative_prompt, scale, steps, seed):