diff --git a/TTS/.models.json b/TTS/.models.json
index 05c88bef43..624a6a0489 100644
--- a/TTS/.models.json
+++ b/TTS/.models.json
@@ -723,6 +723,17 @@
                     "description": "persian-tts-female-glow_tts model for text to speech purposes. Single-speaker female voice Trained on persian-tts-dataset-famale. \nThis model has no compatible vocoder thus the output quality is not very good. \nDataset: https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-famale.",
                     "author": "@karim23657",
                     "license": "CC-BY-4.0"
+                },
+                "vits-female": {
+                    "hf_url": [
+                        "https://huggingface.co/Kamtera/persian-tts-female-vits/resolve/main/best_model_30824.pth",
+                        "https://huggingface.co/Kamtera/persian-tts-female-vits/resolve/main/config.json"
+                    ],
+                    "default_vocoder": null,
+                    "commit": null,
+                    "description": "persian-tts-female-vits model for text to speech purposes. Single-speaker female voice trained on persian-tts-dataset-female.\nDataset: https://www.kaggle.com/datasets/magnoliasis/persian-tts-dataset-famale.",
+                    "author": "@karim23657",
+                    "license": "openrail"
                 }
             }
         },
diff --git a/TTS/api.py b/TTS/api.py
index 3db1e25b11..bf91df4c6d 100644
--- a/TTS/api.py
+++ b/TTS/api.py
@@ -158,7 +158,15 @@ def download_model_by_name(
         self, model_name: str, vocoder_name: str | None = None
     ) -> tuple[Path | None, Path | None, Path | None, Path | None, Path | None]:
         model_path, config_path, model_item = self.manager.download_model(model_name)
-        if "fairseq" in model_name or (model_item is not None and isinstance(model_item["model_url"], list)):
+        if (
+            "fairseq" in model_name
+            or "openvoice" in model_name
+            or (
+                model_item is not None
+                and isinstance(model_item["model_url"], list)
+                and len(model_item["model_url"]) > 2
+            )
+        ):
             # return model directory if there are multiple files
             # we assume that the model knows how to load itself
             return None, None, None, None, model_path