Update app.py

app.py

@@ -118,7 +118,7 @@ if cuda_path:
 else:
     print("CUDA installation not found")
 
-config_path = 'configs/instant-mesh-large.yaml'
+config_path = 'configs/instant-nerf-base.yaml'
 config = OmegaConf.load(config_path)
 config_name = os.path.basename(config_path).replace('.yaml', '')
 model_config = config.model_config
@@ -148,7 +148,7 @@ pipeline = pipeline.to(device)
 
 # load reconstruction model
 print('Loading reconstruction model ...')
-model_ckpt_path = hf_hub_download(repo_id="TencentARC/InstantMesh", filename="instant_mesh_large.ckpt", repo_type="model")
+model_ckpt_path = hf_hub_download(repo_id="TencentARC/InstantMesh", filename="instant_nerf_base.ckpt", repo_type="model")
 model0 = instantiate_from_config(model_config)
 state_dict = torch.load(model_ckpt_path, map_location='cpu')['state_dict']
 state_dict = {k[14:]: v for k, v in state_dict.items() if k.startswith('lrm_generator.') and 'source_camera' not in k}