Adjust resolution and remesh iterations in generate3d function for optimized output

- Decreased the resolution from [2056, 2056] to [1024, 1024] to balance performance and quality.
- Reduced remesh iterations from 3 to 2 to streamline the mesh generation process while maintaining detail.

inference.py

@@ -56,7 +56,7 @@ def generate3d(model, rgb, ccm, device):
 
     with torch.no_grad():
         data_config = {
-            'resolution': [2056, 2056],
+            'resolution': [1024, 1024],
             "triview_color": triplane_color.to(device),
         }
 
@@ -70,7 +70,7 @@ def generate3d(model, rgb, ccm, device):
     verts, faces = clean_mesh(
         data_config['verts'].squeeze().cpu().numpy().astype(np.float32),
         data_config['faces'].squeeze().cpu().numpy().astype(np.int32),
-        repair=False, remesh=True, remesh_size=0.005, remesh_iters=3
+        repair=False, remesh=True, remesh_size=0.005, remesh_iters=2
     )
     data_config['verts'] = torch.from_numpy(verts).to(device).contiguous()
     data_config['faces'] = torch.from_numpy(faces).to(device).contiguous()