Retrieval-based-Voice-Conversion-WebUI
An easy-to-use SVC framework based on VITS.
[](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI)
[](https://colab.research.google.com/github/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Retrieval_based_Voice_Conversion_WebUI.ipynb)
[](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/%E4%BD%BF%E7%94%A8%E9%9C%80%E9%81%B5%E5%AE%88%E7%9A%84%E5%8D%8F%E8%AE%AE-LICENSE.txt)
[](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/)
------
[**Changelog**](https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/blob/main/Changelog_CN.md)
[**English**](./README.en.md) | [**ä¸æ–‡ç®€ä½“**](./README.md) | [**日本語**](./README.ja.md)
> Check our [Demo Video](https://www.bilibili.com/video/BV1pm4y1z7Gm/) here!
> Realtime Voice Conversion Software using RVC : [w-okada/voice-changer](https://github.com/w-okada/voice-changer)
## Summary
This repository has the following features:
+ Reduce tone leakage by replacing source feature to training-set feature using top1 retrieval;
+ Easy and fast training, even on relatively poor graphics cards;
+ Training with a small amount of data also obtains relatively good results (>=10min low noise speech recommended);
+ Supporting model fusion to change timbres (using ckpt processing tab->ckpt merge);
+ Easy-to-use Webui interface;
+ Use the UVR5 model to quickly separate vocals and instruments.
+ The dataset for the pre-training model uses nearly 50 hours of high quality VCTK open source dataset, and high quality licensed song datasets will be added to training-set one after another for your use, without worrying about copyright infringement.
## Preparing the environment
We recommend you install the dependencies through poetry.
The following commands need to be executed in the environment of Python version 3.8 or higher:
```bash
# Install PyTorch-related core dependencies, skip if installed
# Reference: https://pytorch.org/get-started/locally/
pip install torch torchvision torchaudio
#For Windows + Nvidia Ampere Architecture(RTX30xx), you need to specify the cuda version corresponding to pytorch according to the experience of https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI/issues/21
pip install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117
# Install the Poetry dependency management tool, skip if installed
# Reference: https://python-poetry.org/docs/#installation
curl -sSL https://install.python-poetry.org | python3 -
# Install the project dependencies
poetry install
```
You can also use pip to install the dependencies
**Notice**: `faiss 1.7.2` will raise Segmentation Fault: 11 under `MacOS`, please change corresponding line in `requirements.txt` to `faiss-cpu==1.7.0`
```bash
pip install -r requirements.txt
```
## Preparation of other Pre-models
RVC requires other pre-models to infer and train.
You need to download them from our [Huggingface space](https://huggingface.co/lj1995/VoiceConversionWebUI/tree/main/).
Here's a list of Pre-models and other files that RVC needs:
```bash
hubert_base.pt
./pretrained
./uvr5_weights
#If you are using Windows, you may also need this dictionary, skip if FFmpeg is installed
ffmpeg.exe
```
Then use this command to start Webui:
```bash
python infer-web.py
```
If you are using Windows, you can download and extract `RVC-beta.7z` to use RVC directly and use `go-web.bat` to start Webui.
We will develop an English version of the WebUI in 2 weeks.
There's also a tutorial on RVC in Chinese and you can check it out if needed.
## Credits
## Thanks to all contributors for their efforts