SongGeneration
Demo | Paper | Code | Space Demo
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.
Model Versions
| Model | HuggingFace |
|---|---|
| SongGeneration-base(zh) | v20250520 |
| SongGeneration-base(zh&en) | Coming soon |
| SongGeneration-full(zh&en) | Coming soon |
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.
License
The code and weights in this repository is released in the LICENSE file.