diff --git a/invokeai/frontend/training/textual_inversion.py b/invokeai/frontend/training/textual_inversion.py
index 17259083e7..05f4a347ec 100644
--- a/invokeai/frontend/training/textual_inversion.py
+++ b/invokeai/frontend/training/textual_inversion.py
@@ -123,7 +123,7 @@ class textualInversionForm(npyscreen.FormMultiPageAction):
             value=str(
                 saved_args.get(
                     "train_data_dir",
-                    config.root_dir / TRAINING_DATA / default_placeholder_token,
+                    config.root_path / TRAINING_DATA / default_placeholder_token,
                 )
             ),
             scroll_exit=True,
@@ -136,7 +136,7 @@ class textualInversionForm(npyscreen.FormMultiPageAction):
             value=str(
                 saved_args.get(
                     "output_dir",
-                    config.root_dir / TRAINING_DIR / default_placeholder_token,
+                    config.root_path / TRAINING_DIR / default_placeholder_token,
                 )
             ),
             scroll_exit=True,
@@ -241,8 +241,8 @@ class textualInversionForm(npyscreen.FormMultiPageAction):
     def initializer_changed(self) -> None:
         placeholder = self.placeholder_token.value
         self.prompt_token.value = f"(Trigger by using <{placeholder}> in your prompts)"
-        self.train_data_dir.value = str(config.root_dir / TRAINING_DATA / placeholder)
-        self.output_dir.value = str(config.root_dir / TRAINING_DIR / placeholder)
+        self.train_data_dir.value = str(config.root_path / TRAINING_DATA / placeholder)
+        self.output_dir.value = str(config.root_path / TRAINING_DIR / placeholder)
         self.resume_from_checkpoint.value = Path(self.output_dir.value).exists()
 
     def on_ok(self):
@@ -354,7 +354,7 @@ def copy_to_embeddings_folder(args: Dict[str, str]) -> None:
     assert config is not None
     source = Path(args["output_dir"], "learned_embeds.bin")
     dest_dir_name = args["placeholder_token"].strip("<>")
-    destination = config.root_dir / "embeddings" / dest_dir_name
+    destination = config.root_path / "embeddings" / dest_dir_name
     os.makedirs(destination, exist_ok=True)
     logger.info(f"Training completed. Copying learned_embeds.bin into {str(destination)}")
     shutil.copy(source, destination)
@@ -369,7 +369,7 @@ def save_args(args: dict) -> None:
     Save the current argument values to an omegaconf file
     """
     assert config is not None
-    dest_dir = config.root_dir / TRAINING_DIR
+    dest_dir = config.root_path / TRAINING_DIR
     os.makedirs(dest_dir, exist_ok=True)
     conf_file = dest_dir / CONF_FILE
     conf = OmegaConf.create(args)
@@ -381,7 +381,7 @@ def previous_args() -> dict:
     Get the previous arguments used.
     """
     assert config is not None
-    conf_file = config.root_dir / TRAINING_DIR / CONF_FILE
+    conf_file = config.root_path / TRAINING_DIR / CONF_FILE
     try:
         conf = OmegaConf.load(conf_file)
         conf["placeholder_token"] = conf["placeholder_token"].strip("<>")