Update app.py

app.py

@@ -2,6 +2,7 @@ import gradio as gr
 import numpy as np
 import random
 from diffusers import DiffusionPipeline
+from optimum.intel.openvino import OVStableDiffusionPipeline
 import torch
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
@@ -12,7 +13,8 @@ if torch.cuda.is_available():
     pipe.enable_xformers_memory_efficient_attention()
     pipe = pipe.to(device)
 else: 
-    pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
+    #pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", use_safetensors=True)
+    pipe = OVStableDiffusionPipeline.from_pretrained("helenai/Linaqruf-anything-v3.0-ov")
     pipe = pipe.to(device)
 
 MAX_SEED = np.iinfo(np.int32).max