Update app.py

app.py

@@ -100,7 +100,7 @@ def image_to_3d(
     slat_guidance_strength: float,
     slat_sampling_steps: int,
     req: gr.Request,
-) -> Tuple[dict, str, str, str]:
+) -> Tuple[dict, str]:
     """
     Convert an image to a 3D model.
     """
@@ -119,28 +119,38 @@ def image_to_3d(
             "cfg_strength": slat_guidance_strength,
         },
     )
-    video = render_utils.render_video(outputs['gaussian'][0], num_frames=120)['color']
-    video_geo = render_utils.render_video(outputs['mesh'][0], num_frames=120)['normal']
+    video = render_utils.render_video(outputs['gaussian'][0], num_frames=10)['color']
+    video_geo = render_utils.render_video(outputs['mesh'][0], num_frames=10)['normal']
     video = [np.concatenate([video[i], video_geo[i]], axis=1) for i in range(len(video))]
     trial_id = str(uuid.uuid4())
     video_path = os.path.join(user_dir, f"{trial_id}.mp4")
     imageio.mimsave(video_path, video, fps=15)
     
-    # Save full quality GLB
+    state = pack_state(outputs['gaussian'][0], outputs['mesh'][0], trial_id)
+    return state, video_path
+
+@spaces.GPU
+def extract_full_glb(
+    state: dict,
+    req: gr.Request,
+) -> Tuple[str, str]:
+    """
+    Extract a full-quality GLB file from the 3D model.
+    """
+    user_dir = os.path.join(TMP_DIR, str(req.session_hash))
+    gs, mesh, trial_id = unpack_state(state)
+    
     glb = postprocessing_utils.to_glb(
-        outputs['gaussian'][0], 
-        outputs['mesh'][0],
+        gs, mesh,
         simplify=0.0,  # No simplification
         fill_holes=True,
         fill_holes_max_size=0.04,
-        texture_size=2048,  # Maximum texture size
+        texture_size=2048,  # Maximum texture resolution
         verbose=False
     )
-    full_glb_path = os.path.join(user_dir, f"{trial_id}_full.glb")
-    glb.export(full_glb_path)
-    
-    state = pack_state(outputs['gaussian'][0], outputs['mesh'][0], trial_id)
-    return state, video_path, model_output, full_glb_path
+    glb_path = os.path.join(user_dir, f"{trial_id}_full.glb")
+    glb.export(glb_path)
+    return glb_path, glb_path
 
 @spaces.GPU
 def extract_glb(
@@ -150,7 +160,7 @@ def extract_glb(
     req: gr.Request,
 ) -> Tuple[str, str]:
     """
-    Extract a GLB file from the 3D model.
+    Extract a reduced-quality GLB file from the 3D model.
     """
     user_dir = os.path.join(TMP_DIR, str(req.session_hash))
     gs, mesh, trial_id = unpack_state(state)
@@ -163,8 +173,9 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
     gr.Markdown("""
     ## Image to 3D Asset with [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.
-    * The full-quality GLB will be available immediately after generation.
-    * If you need a reduced size version, use the GLB Extraction Settings below.
+    * After generation:
+        * Click "Extract Full GLB" for maximum quality (no mesh reduction)
+        * Or use the GLB Extraction Settings for a reduced size version
     """)
     
     with gr.Row():
@@ -184,12 +195,13 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
                     slat_sampling_steps = gr.Slider(1, 500, label="Sampling Steps", value=12, step=1)
 
             generate_btn = gr.Button("Generate")
+            extract_full_btn = gr.Button("Extract Full GLB", interactive=False)
             
             with gr.Accordion(label="GLB Extraction Settings", open=False):
                 mesh_simplify = gr.Slider(0.0, 0.98, label="Simplify", value=0.95, step=0.01)
                 texture_size = gr.Slider(512, 2048, label="Texture Size", value=1024, step=512)
             
-            extract_glb_btn = gr.Button("Extract GLB", interactive=False)
+            extract_glb_btn = gr.Button("Extract Reduced GLB", interactive=False)
 
         with gr.Column():
             video_output = gr.Video(label="Generated 3D Asset", autoplay=True, loop=True, height=300)
@@ -231,10 +243,19 @@ with gr.Blocks(delete_cache=(600, 600)) as demo:
     ).then(
         image_to_3d,
         inputs=[image_prompt, seed, ss_guidance_strength, ss_sampling_steps, slat_guidance_strength, slat_sampling_steps],
-        outputs=[output_buf, video_output, model_output, download_full],
+        outputs=[output_buf, video_output],
     ).then(
-        lambda: [gr.Button(interactive=True), gr.Button(interactive=True), gr.Button(interactive=False)],
-        outputs=[download_full, extract_glb_btn, download_reduced],
+        lambda: [gr.Button(interactive=True), gr.Button(interactive=True)],
+        outputs=[extract_full_btn, extract_glb_btn],
+    )
+
+    extract_full_btn.click(
+        extract_full_glb,
+        inputs=[output_buf],
+        outputs=[model_output, download_full],
+    ).then(
+        lambda: gr.Button(interactive=True),
+        outputs=[download_full],
     )
 
     extract_glb_btn.click(