Add faces menu to Gradio py, plus slight increases to teh resolutions offered. I demonstrated teh improvements in model output in teh other pull request (that one is a dud, i did it right here)

gradio_app.py

@@ -10,6 +10,7 @@
 from fastapi import FastAPI
 from fastapi.staticfiles import StaticFiles
 
+from mmgp import offload
 
 def get_example_img_list():
     print('Loading example img list ...')
@@ -33,7 +34,7 @@ def gen_save_folder(max_size=60):
         print(f"remove {SAVE_DIR}/{(cur_id + 1) % max_size} success !!!")
     save_folder = f"{SAVE_DIR}/{max(0, cur_id)}"
     os.makedirs(save_folder, exist_ok=True)
-    print(f"mkdir {save_folder} success !!!")
+    print(f"mkdir {save_folder} suceess !!!")
     return save_folder
 
 
@@ -92,6 +93,7 @@ def _gen_shape(
     seed=1234,
     octree_resolution=256,
     check_box_rembg=False,
+    max_facenum = 40000,
 ):
     if caption: print('prompt is', caption)
     save_folder = gen_save_folder()
@@ -104,7 +106,7 @@ def _gen_shape(
         try:
             image = t2i_worker(caption)
         except Exception as e:
-            raise gr.Error(f"Text to 3D is disabled. Please enable it by restarted the app with `python gradio_app.py --enable_t23d`.")
+            raise gr.Error(f"Text to 3D is disable. Please enable it by `python gradio_app.py --enable_t23d`.")
         time_meta['text2image'] = time.time() - start_time
 
     image.save(os.path.join(save_folder, 'input.png'))
@@ -132,7 +134,7 @@ def _gen_shape(
 
     mesh = FloaterRemover()(mesh)
     mesh = DegenerateFaceRemover()(mesh)
-    mesh = FaceReducer()(mesh)
+    mesh = FaceReducer()(mesh, max_facenum=max_facenum)
 
     stats['number_of_faces'] = mesh.faces.shape[0]
     stats['number_of_vertices'] = mesh.vertices.shape[0]
@@ -150,7 +152,8 @@ def generation_all(
     guidance_scale=7.5,
     seed=1234,
     octree_resolution=256,
-    check_box_rembg=False
+    check_box_rembg=False,
+    max_facenum = 40000
 ):
     mesh, image, save_folder = _gen_shape(
         caption,
@@ -159,8 +162,10 @@ def generation_all(
         guidance_scale=guidance_scale,
         seed=seed,
         octree_resolution=octree_resolution,
-        check_box_rembg=check_box_rembg
+        check_box_rembg=check_box_rembg,
+        max_facenum=max_facenum
     )
+
     path = export_mesh(mesh, save_folder, textured=False)
     model_viewer_html = build_model_viewer_html(save_folder, height=596, width=700)
 
@@ -184,6 +189,7 @@ def shape_generation(
     seed=1234,
     octree_resolution=256,
     check_box_rembg=False,
+    max_facenum = 40000
 ):
     mesh, image, save_folder = _gen_shape(
         caption,
@@ -192,7 +198,8 @@ def shape_generation(
         guidance_scale=guidance_scale,
         seed=seed,
         octree_resolution=octree_resolution,
-        check_box_rembg=check_box_rembg
+        check_box_rembg=check_box_rembg,
+        max_facenum=max_facenum
     )
 
     path = export_mesh(mesh, save_folder, textured=False)
@@ -238,9 +245,10 @@ def build_app():
                                              info='Example: A 3D model of a cute cat, white background')
 
                 with gr.Accordion('Advanced Options', open=False):
-                    num_steps = gr.Slider(maximum=50, minimum=20, value=30, step=1, label='Inference Steps')
-                    octree_resolution = gr.Dropdown([256, 384, 512], value=256, label='Octree Resolution')
+                    num_steps = gr.Slider(maximum=100, minimum=20, value=30, step=1, label='Inference Steps')
+                    octree_resolution = gr.Dropdown([256, 384, 512, 768, 1024], value=256, label='Octree Resolution')
                     cfg_scale = gr.Number(value=5.5, label='Guidance Scale')
+                    max_facenum_slider = gr.Slider(maximum=150000, minimum=20000, value=40000, step=1000, label='Faces')
                     seed = gr.Slider(maximum=1e7, minimum=0, value=1234, label='Seed')
 
                 with gr.Group():
@@ -274,15 +282,15 @@ def build_app():
             gr.HTML("""
             <div style="margin-top: 20px;">
                 <b>Warning: </b>
-                Texture synthesis is disabled due to missing requirements,
-                 please refer to the README.md and install the missing requirements to activate it.
+                Texture synthesis is disable due to missing requirements,
+                 please install requirements following README.md to activate it.
             </div>
             """)
         if not args.enable_t23d:
             gr.HTML("""
             <div style="margin-top: 20px;">
                 <b>Warning: </b>
-                Text to 3D is disabled. Please enable it by restarted the app with `python gradio_app.py --enable_t23d`.
+                Text to 3D is disable. To activate it, please run `python gradio_app.py --enable_t23d`.
             </div>
             """)
 
@@ -300,6 +308,7 @@ def build_app():
                 seed,
                 octree_resolution,
                 check_box_rembg,
+                max_facenum_slider
             ],
             outputs=[file_out, html_output1]
         ).then(
@@ -317,6 +326,7 @@ def build_app():
                 seed,
                 octree_resolution,
                 check_box_rembg,
+                max_facenum_slider
             ],
             outputs=[file_out, file_out2, html_output1, html_output2]
         ).then(
@@ -335,6 +345,9 @@ def build_app():
     parser.add_argument('--host', type=str, default='0.0.0.0')
     parser.add_argument('--cache-path', type=str, default='gradio_cache')
     parser.add_argument('--enable_t23d', action='store_true')
+    parser.add_argument('--profile', type=str, default="4")
+    parser.add_argument('--verbose', type=str, default="1")
+
     args = parser.parse_args()
 
     SAVE_DIR = args.cache_path
@@ -354,6 +367,7 @@ def build_app():
     example_is = get_example_img_list()
     example_ts = get_example_txt_list()
 
+    torch.set_default_device("cpu")
     try:
         from hy3dgen.texgen import Hunyuan3DPaintPipeline