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kanoyo/
Kanoyo

Name: Kanoyo
Availability: InStock

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Applio

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

Precompiled Versions

Open In Collab

Installation

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

Windows

./run-install.bat

Linux

bash

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

bash

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: Theme selector, RPC toggle & version checker
Implement: Overtraining detector
Implement: Autotune
Implement: Training stop
Fix: Model fusion

Credits

VITS by jaywalnut310
Retrieval-based-Voice-Conversion-WebUI by RVC-Project
Mangio-RVC-Fork by Mangio621
Mangio-RVC-Tweaks by alexlnkp
RVG_tts by Foxify52
RMVPE by Dream-High
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
RVC_CLI by blaise-tk

kanoyo/Kanoyo

Applio

Content Table

Installation

Windows

Linux

Using Makefile (for platforms such as Paperspace)

Usage

Windows

Linux

Using Makefile (for platforms such as Paperspace)

Repository Enhancements

Contributions

Planned Features

Credits

Contributors

kanoyo/
Kanoyo