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Applio

Welcome to Applio, the ultimate voice cloning tool meticulously optimized for unrivaled power, modularity, and a user-friendly experience.

🍏 Applio Plugins Precompiled Versions GitHub Release GitHub Repo stars GitHub forks Support Discord Issues Open In Collab

Content Table

Installation

Download the latest version from GitHub Releases or use Precompiled Versions.

Windows 

./run-install.bat

Linux 

chmod +x run-install.sh
./run-install.sh

Using Makefile (for platforms such as Paperspace) 

make run-install

Usage

Visit Applio Documentation for a detailed UI usage explanation.

Windows 

./run-applio.bat

Linux 

chmod +x run-applio.sh
./run-applio.sh

Using Makefile (for platforms such as Paperspace) 

make run-applio

Repository Enhancements

This repository has undergone significant improvements to enhance its functionality and maintainability:

  • Code Modularization: The codebase has been restructured to follow a modular approach. This ensures better organization, readability, and ease of maintenance.
  • Hop Length Implementation: Special thanks to @Mangio621 for introducing hop length implementation. This enhancement enhances the efficiency and performance on Crepe (previously known as Mangio-Crepe).
  • Translations to +30 Languages: The repository now supports translations in over 30 languages, making it more accessible to a global audience.
  • Cross-Platform Compatibility: With multiplatform compatibility, this repository can seamlessly operate across various platforms, providing a consistent experience to users.
  • Optimized Requirements: The project's requirements have been fine-tuned for improved performance and resource utilization.
  • Simple Installation: The installation process has been streamlined, ensuring a straightforward and user-friendly experience for setup.

These enhancements contribute to a more robust and scalable codebase, making the repository more accessible for contributors and users alike.

Contributions

  • Backend Contributions: If you want to contribute to the backend, make your pull requests here.
  • Frontend Contributions: For interface or script-related contributions, feel free to contribute to this repository.

We appreciate all contributions ❤️

Planned Features

  • Implement: Support for Apple Devices (Issue Link)
  • Implement: rmvpe_gpu
  • Implement: Overtraining detector
  • Implement: Autotune
  • Implement: Training stop
  • Fix: Model fusion

Credits

Contributors