Update app.py

app.py

@@ -7,6 +7,7 @@ from diffusers import DiffusionPipeline, AutoencoderKL, UNet2DConditionModel, Fl
 from transformers import AutoTokenizer, AutoModel
 from diffusers import DiffusionPipeline
 
+
 device = "cuda" if torch.cuda.is_available() else "cpu"
 dtype = torch.float16 if torch.cuda.is_available() else torch.float32
 model_repo_id = "AiArtLab/sdxs"
@@ -14,7 +15,7 @@ model_repo_id = "AiArtLab/sdxs"
 pipe = DiffusionPipeline.from_pretrained(
     model_repo_id,
     torch_dtype=dtype,
-    trust_remote_code=True
+    #trust_remote_code=True
 ).to(device)
 
 MAX_SEED = np.iinfo(np.int32).max