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Retrieval-based-Voice-Conversion-WebUI
An easy-to-use Voice Conversion framework based on VITS.
Changelog | FAQ (Frequently Asked Questions)
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Check our Demo Video here!
Realtime Voice Conversion Software using RVC : w-okada/voice-changer
The dataset for the pre-training model uses nearly 50 hours of high quality VCTK open source dataset.
High quality licensed song datasets will be added to training-set one after another for your use, without worrying about copyright infringement.
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.
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:
# 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 use pip install faiss-cpu==1.7.0 if you use pip to install it manually.
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.
Here's a list of Pre-models and other files that RVC needs:
hubert_base.pt
./pretrained
./uvr5_weights
If you want to test the v2 version model (the v2 version model has changed the input from the 256 dimensional feature of 9-layer Hubert+final_proj to the 768 dimensional feature of 12-layer Hubert, and has added 3 period discriminators), you will need to download additional features
./pretrained_v2
#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:
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.
There's also a tutorial on RVC in Chinese and you can check it out if needed.