arxiv:2409.20196 license:mit region:us
---
license: mit
---

## Model Overview
The **Melody Guided Music Generation (MG²)** model is an innovative approach that uses melody to guide music generation, achieving impressive results despite its simplicity and minimal resource requirements. MG² aligns melody with audio waveforms and text descriptions via a multimodal alignment module and conditions its diffusion module on these learned melody representations. This enables MG² to create music that matches the style of given audio and reflects the content of text descriptions.

## Demo
Explore the capabilities of the MG² model through an online demo:
- **Demo Link**: [Model Demo](https://awesome-mmgen.github.io/)
- **Instructions**: Input a text description, then click "Generate" to see the music generated by the model.

## GitHub Repository
Access the code and additional resources for the MG² model:
- **GitHub Link**: [MG² on GitHub](https://github.com/shaopengw/Awesome-Music-Generation)

## Integration with Transformers and Hugging Face Hub
We are currently working on integrating MG² into the **Hugging Face Transformers** library and making it available on the **Hugging Face Hub** 🤗.

### Tips: To generate high-quality music using MG², you'd better craft detailed and descriptive prompts that provide rich context and specific musical elements.

## Paper
> **Title**: "Melody Is All You Need For Music Generation"  
> **Authors**: Shaopeng Wei, Manzhen Wei, Haoyu Wang, Yu Zhao, Gang Kou  
> **Year**: 2024  
> [arXiv Link](https://arxiv.org/abs/2409.20196)  


## Citation
```bibtex
@article{wei2024melodyneedmusicgeneration,
      title={Melody Is All You Need For Music Generation}, 
      author={Shaopeng Wei and Manzhen Wei and Haoyu Wang and Yu Zhao and Gang Kou},
      year={2024},
      eprint={2409.20196},
      archivePrefix={arXiv},
      primaryClass={cs.SD},
      url={https://arxiv.org/abs/2409.20196}, 
}