---
license: cc-by-nc-4.0
language:
- en
---
Models trained from [VITS-fast-fine-tuning](https://github.com/Plachtaa/VITS-fast-fine-tuning)
- Three speakers: laoliang (老梁), specialweek, zhongli.
- The model is trained on the C+J base model with 500 epochs.
- During training, we use a single long audio of laoliang (~5 minutes) with auxiliary data as training data.
- After downloading models, you need to move finetune_speaker.json and G_latest.pth to _/path/to/ VITS-fast-fine-tuning_.
- Following [the official instruction](https://github.com/Plachtaa/VITS-fast-fine-tuning/blob/main/LOCAL.md), install required libraries.
- On inference, you can run your local gradio application via _python VC_inference.py --model_dir ./G_latest.pth --share True_

```bash
VITS-fast-fine-tuning
├───VC_inference.py
├───...
├───finetune_speaker.json
└───G_latest.pth
```