Update space

app.py

@@ -1,7 +1,7 @@
 import gradio as gr
 import numpy as np
 import random
-from diffusers import DiffusionPipeline
+from diffusers import DiffusionPipeline, UNet2DConditionModel
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -15,6 +15,9 @@ else:
     pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
     pipe = pipe.to(device)
 
+unet = UNet2DConditionModel.from_pretrained("dbaranchuk/sdxl-cfg-distill-unet")
+pipe.unet = unet 
+
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 1024