metadata

title: ZeroRVC
emoji: 🎙️
colorFrom: gray
colorTo: gray
sdk: gradio
sdk_version: 4.37.2
app_file: app.py
pinned: false

ZeroRVC

Run Retrieval-based Voice Conversion training and inference with ease.

Features

Dataset Preparation
Hugging Face Datasets Integration
Hugging Face Accelerate Integration
Trainer API
Inference API
- Index Support
Tensorboard Support
FP16 Support

Dataset Preparation

ZeroRVC provides a simple API to prepare your dataset for training. You only need to provide the path to your audio files. The feature extraction models will be downloaded automatically, or you can provide your own with the hubert and rmvpe arguments.

from datasets import load_dataset
from zerorvc import prepare, RVCTrainer

dataset = load_dataset("my-audio-dataset")
dataset = prepare(dataset)

trainer = RVCTrainer(
    "my-rvc-model",
    dataset_train=dataset["train"],
    dataset_test=dataset["test"],
)
trainer.train(epochs=100, batch_size=8, upload="someone/rvc-test-1")

Inference

ZeroRVC provides an easy API to convert your voice with the trained model.

from zerorvc import RVC
import soundfile as sf

rvc = RVC.from_pretrained("someone/rvc-test-1")
samples = rvc.convert("test.mp3")
sf.write("output.wav", samples, rvc.sr)