Update app.py

app.py

@@ -8,7 +8,7 @@ from diffusers import DiffusionPipeline
 dtype = torch.bfloat16
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-pipe = DiffusionPipeline.from_pretrained("stabilityai/sdxl-turbo", torch_dtype=dtype).to(device)
+pipe = DiffusionPipeline.from_pretrained("Yntec/RealLife", torch_dtype=dtype).to(device)
 
 MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048