A fork of so-vits-svc.
Project description
SoftVC VITS Singing Voice Conversion Fork
A fork of so-vits-svc
with a greatly improved interface. Based on branch 4.0
(v1). No differences in functionality and the models are compatible.
Installation
Install this via pip (or your favourite package manager):
pip install -U torch torchaudio --index-url https://download.pytorch.org/whl/cu117
pip install so-vits-svc-fork
Features not available in the original repo
- Unified command-line interface (no need to run Python scripts)
- Ready to use just by installing with
pip
. - Automatically download pretrained base model and HuBERT model
- Code completely formatted with black, isort, autoflake etc.
Usage
Training
Place your dataset like dataset_raw/{speaker_id}/{wav_file}.wav
and run:
svc pre-resample
svc pre-config
svc pre-hubert
svc train
Inference
svc --model-path <model-path> source.wav
Contributors ✨
Thanks goes to these wonderful people (emoji key):
34j 💻 🤔 📖 |
This project follows the all-contributors specification. Contributions of any kind welcome!
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