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README.md
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---
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language:
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- en
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- zh
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---
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# SongGeneration
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<p align="center">
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<a href="https://levo-demo.github.io/">Demo</a> | <a href="https://arxiv.org/abs/2506.07520">Paper</a> | <a href="https://github.com/tencent-ailab/songgeneration">Code</a> | <a href="https://huggingface.co/spaces/waytan22/SongGeneration-LeVo">Space Demo</a>
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</p>
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This repository is the official code 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.
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## Model Versions
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| Model | HuggingFace |
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| :----------------------: | :----------------------------------------------------------: |
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| HunyuanMusic-base(zh) | https://huggingface.co/waytan22/SongGeneration-LeVo/tree/main/ckpt/songgeneration_base_zh |
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| HunyuanMusic-base(zh&en) | Coming soon |
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| HunyuanMusic-full(zh&en) | Coming soon |
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## Overview
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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).
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<img src="https://github.com/tencent-ailab/songgeneration/blob/main/img/over.jpg?raw=true" alt="img" style="zoom:100%;" />
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## License
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The code and weights in this repository is released under the MIT license as found in the [LICENSE](https://github.com/tencent-ailab/songgeneration/blob/main/LICENSE) file.
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