Update app.py

app.py

@@ -137,7 +137,7 @@ def process(input_cond, input_num_steps, input_seed=42, input_cfg=6.0):
         recon_feat_param[:, 1:, ...] = (recon_feat_param[:, 1:, ...] + 1) / 2.
         recon_feat_param = recon_feat_param.reshape(inf_bs, config.model.num_prims, -1)
         recon_param = torch.concat([recon_srt_param, recon_feat_param], dim=-1)
-        visualize_video_primvolume(config.output_dir, batch, recon_param, 30, rm, device)
+        visualize_video_primvolume(config.output_dir, batch, recon_param, 15, rm, device)
         prim_params = {'srt_param': recon_srt_param[0].detach().cpu(), 'feat_param': recon_feat_param[0].detach().cpu()}
         torch.save({'model_state_dict': prim_params}, "{}/denoised.pt".format(config.output_dir))
 
@@ -200,7 +200,7 @@ with block:
             # gen button
             button_gen = gr.Button(value="Generate", interactive=False)
             with gr.Row():
-                input_mc_resolution = gr.Radio(choices=[32, 64, 128, 256], label="MC Resolution", value=128, info="Cube resolution for mesh extraction")
+                input_mc_resolution = gr.Radio(choices=[64, 128, 256], label="MC Resolution", value=128, info="Cube resolution for mesh extraction")
                 input_remesh = gr.Radio(choices=["No", "Yes"], label="Remesh", value="No", info="Remesh or not?")
             export_glb_btn = gr.Button(value="Export GLB", interactive=False)