- Linux or WSL2 (not tested for Mac )
- Anaconda
- Create anaconda virtual environment
$ conda create -n vcclient-dev python=3.10
$ conda activate vcclient-dev
- clone repository
$ git clone https://github.com/w-okada/voice-changer.git
$ cd voice-changer
- Clone support VC repository
cd server
git clone https://github.com/isletennos/MMVC_Client.git MMVC_Client_v13
git clone https://github.com/isletennos/MMVC_Client.git MMVC_Client_v15
git clone https://github.com/StarStringStudio/so-vits-svc.git so-vits-svc-40
git clone https://github.com/StarStringStudio/so-vits-svc.git so-vits-svc-40v2
cd so-vits-svc-40v2 && git checkout 08c70ff3d2f7958820b715db2a2180f4b7f92f8d && cd -
git clone https://github.com/yxlllc/DDSP-SVC.git DDSP-SVC
git clone https://github.com/liujing04/Retrieval-based-Voice-Conversion-WebUI.git RVC
- Copy weights
copy weights of emmbedding or vocoder. These file path can be set as parameter when invoke server.
(1) hubert_base.pt
download from here
(2) content vec
download ContentVec_legacy_500 from here
(3) hubert_soft
download from here
(4) vocorder
download nsf_hifigan_20221211.zip from here and expand it.
- Install requirements
$ pip install -r requirements.txt
- Run server
Run server with the below command. You can replace the path to each weight.
$ python3 MMVCServerSIO.py -p 18888 --https true \
--content_vec_500 weights/checkpoint_best_legacy_500.pt \
--hubert_base weights/hubert_base.pt \
--hubert_soft weights/hubert-soft-0d54a1f4.pt \
--nsf_hifigan weights/nsf_hifigan/model
- Enjoy developing.
- Import modules and initial build
cd client
cd lib
npm install
npm run build:dev
cd ../demo
npm install
npm run build:dev
- Enjoy developing.