Update app.py

app.py

@@ -254,7 +254,7 @@ def image_to_3d(
     user_dir = os.path.join(TMP_DIR, str(req.session_hash))
     if not is_multiimage:
         outputs = pipeline.run(
-            image[1]['composite'],
+            image[1],
             seed=seed,
             formats=["gaussian", "mesh"],
             preprocess_image=False,
@@ -387,7 +387,6 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
                     #image_prompt = gr.Image(label="Image Prompt", format="png", image_mode="RGBA", type="pil", height=300)
                     with gr.Column():    
                         image_prompt = gr.ImageMask(type="pil", image_mode="RGB", height=512, value={"background":Image.new("RGB", (512, 512), (255, 255, 255)), "layers":[Image.new("RGB", (512, 512), (255, 255, 255))], "composite":Image.new("RGB", (512, 512), (255, 255, 255))})
-                        image_prompt_processed = ImageSlider(type="pil", height=512)
                     with gr.Row():
                         sketch_btn = gr.Button("process sketch")
                         generate_btn = gr.Button("Generate 3D")
@@ -456,6 +455,7 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
 
         with gr.Column():
             video_output = gr.Video(label="Generated 3D Asset", autoplay=True, loop=True, height=300)
+            image_prompt_processed = ImageSlider(type="pil", height=512)
             model_output = LitModel3D(label="Extracted GLB/Gaussian", exposure=10.0, height=300)
             
             with gr.Row():