Welcome to Applio, the ultimate voice cloning tool meticulously optimized for unrivaled power, modularity, and a user-friendly experience.
Download the latest version from GitHub Releases or use Precompiled Versions.
./run-install.batchmod +x run-install.sh
./run-install.shUsing Makefile (for platforms such as Paperspace)
make run-install
Visit Applio Documentation for a detailed UI usage explanation.
./run-applio.batchmod +x run-applio.sh
./run-applio.shUsing Makefile (for platforms such as Paperspace)
make run-applio
This repository has undergone significant enhancements to improve its functionality and maintainability:
- Modular Codebase: Restructured codebase following a modular approach for better organization, readability, and maintenance.
- Hop Length Implementation: Implemented hop length, courtesy of @Mangio621, boosting efficiency and performance, especially on Crepe (formerly Mangio-Crepe).
- Translations in 30+ Languages: Added support for translations in over 30 languages, enhancing accessibility for a global audience.
- Cross-Platform Compatibility: Ensured seamless operation across various platforms for a consistent user experience.
- Optimized Requirements: Fine-tuned project requirements for enhanced performance and resource efficiency.
- Streamlined Installation: Simplified installation process for a user-friendly setup experience.
- Hybrid F0 Estimation: Introduced a personalized 'hybrid' F0 estimation method utilizing nanmedian, combining F0 calculations from various methods to achieve optimal results.
- Easy-to-Use UI: Implemented a user-friendly interface for intuitive interaction.
- Optimized Code & Dependencies: Enhanced code and streamlined dependencies for improved efficiency.
- Plugin System: Introduced a plugin system for extending functionality and customization.
These enhancements contribute to a more robust and scalable codebase, making the repository more accessible for contributors and users alike.
- 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 ❤️
- Implement: Support training for Apple Devices
- Implement: rmvpe_gpu
- Implement: Overtraining detector
- Implement: Training stop
- Fix: Model fusion
- ContentVec by auspicious3000
- HIFIGAN by jik876
- Gradio by gradio-app
- FFmpeg by FFmpeg
- audio-slicer by openvpi
- Ilaria-Audio-Analyzer by TheStingerX
- gradio-screen-recorder by gstaff
- VITS by jaywalnut310
- RMVPE by Dream-High
- FCPE by CNChTu
- So-Vits-SVC by svc-develop-team
- Harmonify by Eempostor
- RVC_CLI by blaise-tk
- Retrieval-based-Voice-Conversion-WebUI by RVC-Project
- Mangio-RVC-Fork by Mangio621