Upload folder using huggingface_hub

app.py

@@ -62,7 +62,6 @@ def load_pipe():
         pipe = AutoPipelineForText2Image.from_pretrained(
             MODEL_ID,
             torch_dtype=_dtype,
-            use_safetensors=True,
         )
         if hasattr(pipe, "enable_attention_slicing"):
             pipe.enable_attention_slicing()
@@ -201,4 +200,4 @@ with gr.Blocks(title="wode") as demo:
     unload.click(fn=unload_pipe, outputs=[])
 
 if __name__ == "__main__":
-    demo.queue(max_size=4).launch()
+    demo.queue(max_size=4).launch(show_error=True)