---
title: Song Generation
emoji: 🎵
colorFrom: purple
colorTo: gray
sdk: docker
app_port: 7860
---


<p align="center">
    <a href="https://levo-demo.github.io/">Demo</a> &nbsp;|&nbsp; <a href="https://arxiv.org/abs/2506.07520">Paper</a>  &nbsp;|&nbsp; <a href="https://github.com/tencent-ailab/songgeneration">Code</a>
</p>

This repository is the official weight repository for LeVo: High-Quality Song Generation with Multi-Preference Alignment. In this repository, we provide the SongGeneration model, inference scripts, and the checkpoint that has been trained on the Million Song Dataset.

## Overview

We develop the SongGeneration model. It is an LM-based framework consisting of **LeLM** and a **music codec**. LeLM is capable of parallelly modeling two types of tokens: mixed tokens, which represent the combined audio of vocals and accompaniment to achieve vocal-instrument harmony, and dual-track tokens, which separately encode vocals and accompaniment for high-quality song generation. The music codec reconstructs the dual-track tokens into highfidelity music audio. SongGeneration significantly improves over the open-source music generation models and performs competitively with current state-of-the-art industry systems. For more details, please refer to our [paper](https://arxiv.org/abs/2506.07520).

<img src="https://github.com/tencent-ailab/songgeneration/blob/main/img/over.jpg?raw=true" alt="img" style="zoom:100%;" /> 

## Note

Since the model is trained based on data longer than 1 minute, if the given lyrics are too short, the model will automatically fill in the lyrics to extend the duration.

## License

The code and weights in this repository is released in the [LICENSE](LICENSE)  file.