diff --git a/comfy/ldm/hunyuan3d/vae.py b/comfy/ldm/hunyuan3d/vae.py
index 311c9b416..5eb2c6548 100644
--- a/comfy/ldm/hunyuan3d/vae.py
+++ b/comfy/ldm/hunyuan3d/vae.py
@@ -581,7 +581,7 @@ class ShapeVAE(nn.Module):
         enable_pbar = kwargs.get("enable_pbar", True)
 
         grid_logits = self.volume_decoder(latents, self.geo_decoder, bounds=bounds, num_chunks=num_chunks, octree_resolution=octree_resolution, enable_pbar=enable_pbar)
-        return grid_logits
+        return grid_logits.movedim(-2, -1)
 
     def encode(self, x):
         return None
diff --git a/comfy_extras/nodes_hunyuan3d.py b/comfy_extras/nodes_hunyuan3d.py
index 6abcde1f6..ac2cff3a9 100644
--- a/comfy_extras/nodes_hunyuan3d.py
+++ b/comfy_extras/nodes_hunyuan3d.py
@@ -185,8 +185,8 @@ def voxel_to_mesh(voxels, threshold=0.5, device=None):
             device=device
         ).reshape(-1, 4)
 
-        all_indices.append(torch.stack([face_indices[:, 0], face_indices[:, 2], face_indices[:, 1]], dim=1))
-        all_indices.append(torch.stack([face_indices[:, 0], face_indices[:, 3], face_indices[:, 2]], dim=1))
+        all_indices.append(torch.stack([face_indices[:, 0], face_indices[:, 1], face_indices[:, 2]], dim=1))
+        all_indices.append(torch.stack([face_indices[:, 0], face_indices[:, 2], face_indices[:, 3]], dim=1))
 
         vertex_count += 4 * num_faces
 
@@ -202,6 +202,7 @@ def voxel_to_mesh(voxels, threshold=0.5, device=None):
     if scale > 0:
         vertices = vertices / scale
 
+    vertices = torch.fliplr(vertices)
     return vertices, faces