debug 3

app.py

@@ -207,8 +207,8 @@ def end_session(req: gr.Request):
 
 with gr.Blocks(delete_cache=(600, 600)) as demo:
     gr.Markdown("""
-    ## Text to 3D Asset with Mistral + Flux + Trellis (https://trellis3d.github.io/)
-    * Upload an image and click "Generate" to create a 3D asset. If the image has alpha channel, it be used as the mask. Otherwise, we use `rembg` to remove the background.
+    ## Text to 3D Asset with Mistral + Flux + Trellis 
+    * Upload an image and click "Generate" to create a 3D asset
     """)
     
     with gr.Row():
@@ -237,10 +237,6 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
                 extract_glb_btn = gr.Button("Extract GLB", interactive=False)
                 extract_gs_btn = gr.Button("Extract Gaussian", interactive=False)
 
-            gr.Markdown("""
-                        *NOTE: Gaussian file can be very large (~50MB), it will take a while to display and download.*
-                        """)
-
         with gr.Column():
             video_output = gr.Video(label="Generated 3D Asset", autoplay=True, loop=True, height=300)
             model_output = LitModel3D(label="Extracted GLB/Gaussian", exposure=10.0, height=300)
@@ -309,8 +305,8 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
 if __name__ == "__main__":
     pipeline = TrellisImageTo3DPipeline.from_pretrained("JeffreyXiang/TRELLIS-image-large")
     pipeline.cuda()
-    try:
-        pipeline.preprocess_image(Image.fromarray(np.zeros((512, 512, 3), dtype=np.uint8)))    # Preload rembg
-    except:
-        pass
+    # try:
+    #     pipeline.preprocess_image(Image.fromarray(np.zeros((512, 512, 3), dtype=np.uint8)))    # Preload rembg
+    # except:
+    #     pass
     demo.launch()