--- language: - en - zh pipeline_tag: text-to-audio library_name: tencent-song-generation --- # 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 | Max Length | Language | GPU Menmory | RFT(A100) | Download Link | | ------------------------- | :--------: | :------------------: | :---------: | :-------: | ------------------------------------------------------------ | | SongGeneration-base | 2m30s | zh | 10G/16G | 1.26 | You were here | | SongGeneration-base-new | 2m30s | zh, en | 10G/16G | 1.26 | [Huggingface](https://huggingface.co/lglg666/SongGeneration-base-new) | | SongGeneration-base-full | 4m30s | zh, en | 12G/18G | 1.30 | [Huggingface](https://huggingface.co/lglg666/SongGeneration-base-full) | | SongGeneration-large | 4m30s | zh, en | 22G/28G | 1.51 | [Huggingface](https://huggingface.co/lglg666/SongGeneration-large) | | SongGeneration-v1.5-small | 2m | zh, en, es, ja, etc. | - | - | Coming soon | | SongGeneration-v1.5-base | 4m30s | zh, en, es, ja, etc. | - | - | Coming soon | | SongGeneration-v1.5-large | 4m30s | zh, en, es, ja, etc. | - | - | 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](https://arxiv.org/abs/2506.07520).
## License
The code and weights in this repository is released in the [LICENSE](LICENSE) file.