HexGen RVC
https://colab.research.google.com/drive/1dmGS0vEWuX55Z1w1tSRD6lJDV8s2deY0?usp=sharing
HexGen RVC is a tool designed for generating high-quality AI vocal covers using advanced source separation, vocal modeling, and audio processing techniques. This project builds on several community-driven efforts, integrating the best tools and frameworks available for music and vocal manipulation.
Features
- AI-Driven Vocal Cover Generation: Produce custom vocal covers with ease.
- Source Separation: Isolate instrumentals and vocals from any track.
- Efficient Workflow: Streamlined integration with popular tools for music processing.
- Colab Support: Easily deploy and test models in Google Colab environments.
Installation
- Clone the repository:
git clone https://github.com/kindahex/HexGen-RVC.git cd hexGen-RVC
- Follow specific setup instructions provided in the documentation (if available) or in the code comments.
Usage
- Prepare your audio input file(s) and place them in the appropriate folder.
- Run the script or Colab notebook as per the instructions.
- Customize the output by tweaking the parameters and models used.
Credits
This project would not have been possible without the contributions and support of the following tools and creators:
- Audio Separator by Andrew Beveridge
- Applio by IAHispano
- yt-dlp
- Ultimate Vocal Remover GUI by Anjok07
- Music Source Separation Universal Training Code by ZFTurbo
- AICoverGen by SociallyIneptWeeb
- FullmatheusBallZ for testing the Colab scripts.
- Shirou, the original project inspiration.
Contributing
Feel free to submit pull requests or create issues for any improvements or bugs you encounter. Contributions are always welcome!
License
This project is licensed under the terms specified in the LICENSE
file. Ensure compliance with third-party dependencies when using or modifying this project.