diff --git a/src/diffusers/hooks/group_offloading.py b/src/diffusers/hooks/group_offloading.py
index c2adb6ab1d..d00a007137 100644
--- a/src/diffusers/hooks/group_offloading.py
+++ b/src/diffusers/hooks/group_offloading.py
@@ -216,13 +216,20 @@ class ModuleGroup:
     def offload_(self):
         r"""Offloads the group of modules to the offload_device."""
         if self.offload_to_disk_path:
-            if not self._is_offloaded_to_disk:
+            # TODO: we can potentially optimize this code path by checking if the _all_ the desired
+            # safetensor files exist on the disk and if so, skip this step entirely, reducing IO
+            # overhead. Currently, we just check if the given `safetensors_file_path` exists and if not
+            # we perform a write.
+            # Check if the file has been saved in this session or if it already exists on disk.
+            if not self._is_offloaded_to_disk and not os.path.exists(self.safetensors_file_path):
                 os.makedirs(os.path.dirname(self.safetensors_file_path), exist_ok=True)
                 tensors_to_save = {
                     key: tensor.data.to(self.offload_device) for tensor, key in self.tensor_to_key.items()
                 }
                 safetensors.torch.save_file(tensors_to_save, self.safetensors_file_path)
-                self._is_offloaded_to_disk = True
+
+            # The group is now considered offloaded to disk for the rest of the session.
+            self._is_offloaded_to_disk = True
 
             for tensor_obj in self.tensor_to_key.keys():
                 tensor_obj.data = torch.empty_like(tensor_obj.data, device=self.offload_device)