Retrieval-based-Voice-Conversion-WebUI

An easy-to-use voice conversion framework based on VITS.

[![madewithlove](https://img.shields.io/badge/made_with-%E2%9D%A4-red?style=for-the-badge&labelColor=orange )](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)
[![RVC v1](https://img.shields.io/badge/RVCv1-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/tools/ipynb/v1.ipynb) [![RVC v2](https://img.shields.io/badge/RVCv2-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)](https://colab.research.google.com/github/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/tools/ipynb/v2.ipynb) [![Licence](https://img.shields.io/github/license/RVC-Project/Retrieval-based-Voice-Conversion-WebUI?style=for-the-badge)](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/LICENSE) [![Huggingface](https://img.shields.io/badge/🤗%20-Spaces-yellow.svg?style=for-the-badge)](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/) [![Discord](https://img.shields.io/badge/RVC%20Developers-Discord-7289DA?style=for-the-badge&logo=discord&logoColor=white)](https://discord.gg/HcsmBBGyVk) [**Changelog**](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/blob/main/docs/Changelog_EN.md) | [**FAQ (Frequently Asked Questions)**](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI/wiki/FAQ-(Frequently-Asked-Questions)) [**English**](../en/README.en.md) | [**中文简体**](../../README.md) | [**日本語**](../jp/README.ja.md) | [**한국어**](../kr/README.ko.md) ([**韓國語**](../kr/README.ko.han.md)) | [**Français**](../fr/README.fr.md) | [**Türkçe**](../tr/README.tr.md) | [**Português**](../pt/README.pt.md)
> The base model is trained using nearly 50 hours of high-quality open-source VCTK training set. Therefore, there are no copyright concerns, please feel free to use. > Please look forward to the base model of RVCv3 with larger parameters, larger dataset, better effects, basically flat inference speed, and less training data required. > There's a [one-click downloader](https://github.com/RVC-Project/RVC-Models-Downloader) for models/integration packages/tools. Welcome to try.
Training and inference Webui Real-time voice changing GUI
go-web.bat go-realtime-gui.bat
You can freely choose the action you want to perform. We have achieved an end-to-end latency of 170ms. With the use of ASIO input and output devices, we have managed to achieve an end-to-end latency of 90ms, but it is highly dependent on hardware driver support.
## Features: + Reduce tone leakage by replacing the source feature to training-set feature using top1 retrieval; + Easy + fast training, even on poor graphics cards; + Training with a small amounts of data (>=10min low noise speech recommended); + Model fusion to change timbres (using ckpt processing tab->ckpt merge); + Easy-to-use WebUI; + UVR5 model to quickly separate vocals and instruments; + High-pitch Voice Extraction Algorithm [InterSpeech2023-RMVPE](#Credits) to prevent a muted sound problem. Provides the best results (significantly) and is faster with lower resource consumption than Crepe_full; + AMD/Intel graphics cards acceleration supported; + Intel ARC graphics cards acceleration with IPEX supported. Check out our [Demo Video](https://www.bilibili.com/video/BV1pm4y1z7Gm/) here! ## Environment Configuration ### Python Version Limitation > It is recommended to use conda to manage the Python environment. > For the reason of the version limitation, please refer to this [bug](https://github.com/facebookresearch/fairseq/issues/5012). ```bash python --version # 3.8 <= Python < 3.11 ``` ### Linux/MacOS One-click Dependency Installation & Startup Script By executing `run.sh` in the project root directory, you can configure the `venv` virtual environment, automatically install the required dependencies, and start the main program with one click. ```bash sh ./run.sh ``` ### Manual Installation of Dependencies 1. Install `pytorch` and its core dependencies, skip if already installed. Refer to: https://pytorch.org/get-started/locally/ ```bash pip install torch torchvision torchaudio ``` 2. If you are using Nvidia Ampere architecture (RTX30xx) in Windows, according to the experience of #21, you need to specify the cuda version corresponding to pytorch. ```bash pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117 ``` 3. Install the corresponding dependencies according to your own graphics card. - Nvidia GPU ```bash pip install -r requirements.txt ``` - AMD/Intel GPU ```bash pip install -r requirements-dml.txt ``` - AMD ROCM (Linux) ```bash pip install -r requirements-amd.txt ``` - Intel IPEX (Linux) ```bash pip install -r requirements-ipex.txt ``` ## Preparation of Other Files ### 1. Assets > RVC requires some models located in the `assets` folder for inference and training. #### Check/Download Automatically (Default) > By default, RVC can automatically check the integrity of the required resources when the main program starts. > Even if the resources are not complete, the program will continue to start. - If you want to download all resources, please add the `--update` parameter. - If you want to skip the resource integrity check at startup, please add the `--nocheck` parameter. #### Download Manually > All resource files are located in [Hugging Face space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/) > You can find some scripts to download them in the `tools` folder > You can also use the [one-click downloader](https://github.com/RVC-Project/RVC-Models-Downloader) for models/integration packages/tools Below is a list that includes the names of all pre-models and other files required by RVC. - ./assets/hubert/hubert_base.pt ```bash rvcmd assets/hubert # RVC-Models-Downloader command ``` - ./assets/pretrained ```bash rvcmd assets/v1 # RVC-Models-Downloader command ``` - ./assets/uvr5_weights ```bash rvcmd assets/uvr5 # RVC-Models-Downloader command ``` If you want to use the v2 version of the model, you need to download additional resources in - ./assets/pretrained_v2 ```bash rvcmd assets/v2 # RVC-Models-Downloader command ``` ### 2. Install ffmpeg tool If `ffmpeg` and `ffprobe` have already been installed, you can skip this step. #### Ubuntu/Debian ```bash sudo apt install ffmpeg ``` #### MacOS ```bash brew install ffmpeg ``` #### Windows After downloading, place it in the root directory. ```bash rvcmd tools/ffmpeg # RVC-Models-Downloader command ``` - [ffmpeg.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffmpeg.exe) - [ffprobe.exe](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/ffprobe.exe) ### 3. Download the required files for the rmvpe vocal pitch extraction algorithm If you want to use the latest RMVPE vocal pitch extraction algorithm, you need to download the pitch extraction model parameters and place them in `assets/rmvpe`. - [rmvpe.pt](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.pt) ```bash rvcmd assets/rmvpe # RVC-Models-Downloader command ``` #### Download DML environment of RMVPE (optional, for AMD/Intel GPU) - [rmvpe.onnx](https://huggingface.co/lj1995/VoiceConversionWebUI/blob/main/rmvpe.onnx) ```bash rvcmd assets/rmvpe # RVC-Models-Downloader command ``` ### 4. AMD ROCM (optional, Linux only) If you want to run RVC on a Linux system based on AMD's ROCM technology, please first install the required drivers [here](https://rocm.docs.amd.com/en/latest/deploy/linux/os-native/install.html). If you are using Arch Linux, you can use pacman to install the required drivers. ```` pacman -S rocm-hip-sdk rocm-opencl-sdk ```` For some models of graphics cards, you may need to configure the following environment variables (such as: RX6700XT). ```` export ROCM_PATH=/opt/rocm export HSA_OVERRIDE_GFX_VERSION=10.3.0 ```` Also, make sure your current user is in the `render` and `video` user groups. ```` sudo usermod -aG render $USERNAME sudo usermod -aG video $USERNAME ```` ## Getting Started ### Direct Launch Use the following command to start the WebUI. ```bash python infer-web.py ``` ### Linux/MacOS ```bash ./run.sh ``` ### For I-card users who need to use IPEX technology (Linux only) ```bash source /opt/intel/oneapi/setvars.sh ./run.sh ``` ### Using the Integration Package (Windows Users) Download and unzip `RVC-beta.7z`. After unzipping, double-click `go-web.bat` to start the program with one click. ```bash rvcmd packs/general/latest # RVC-Models-Downloader command ``` ## Credits + [ContentVec](https://github.com/auspicious3000/contentvec/) + [VITS](https://github.com/jaywalnut310/vits) + [HIFIGAN](https://github.com/jik876/hifi-gan) + [Gradio](https://github.com/gradio-app/gradio) + [FFmpeg](https://github.com/FFmpeg/FFmpeg) + [Ultimate Vocal Remover](https://github.com/Anjok07/ultimatevocalremovergui) + [audio-slicer](https://github.com/openvpi/audio-slicer) + [Vocal pitch extraction:RMVPE](https://github.com/Dream-High/RMVPE) + The pretrained model is trained and tested by [yxlllc](https://github.com/yxlllc/RMVPE) and [RVC-Boss](https://github.com/RVC-Boss). ## Thanks to all contributors for their efforts