Changelog | FAQ (Frequently Asked Questions)
Check our Demo Video here!
Realtime Voice Conversion Software using RVC : w-okada/voice-changer
A online demo using RVC that convert Vocal to Acoustic Guitar audio:https://huggingface.co/spaces/lj1995/vocal2guitar
Vocal2Guitar demo video:https://www.bilibili.com/video/BV19W4y1D7tT/
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.
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.
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/RVC-Project/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
pip install -r requirements.txt
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
rvc_pretrained
rvc_uvr5_weights
To run this locally, this files and folders should be downloaded from the ltx bucket and placed under voice-swap-serving/models/voice-swap
.
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
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.