An OpenVoice-based voice cloning tool, single executable file (~14M), supporting multiple formats without dependencies on ffmpeg, Python, PyTorch, ONNX.
基于OpenVoice的声音克隆工具，免安装的单个可执行文件（~14M），支持多种格式，不依赖ffmpeg、python、pytorch、onnx
- 💪 Single-file executable - no installation required
- 🎈 Independent of FFmpeg, Python, PyTorch, and ONNX
- 🎨 Support multiple formats (e.g. mp4, mp3, wav)
- 👄 Offer multiple built-in base speakers: en-au, en-br, en-default, en-india, en-newest, en-us, es, fr, jp, kr, zh
- 💻 Support CPU & GPU
structure
some dir
├─ voice_clone # single executable file
└─ checkpoints_v2 # OpenVoice model
└─ converter # use -m specify this dir, default: ./checkpoints_v2/converter
├─ config.json
└─ checkpoint.pth
1. download a pre-built binary
2. download OpenVoice modle
3. convert some voice to your voice
./voice_clone -s raw_voice.wav -t your_voice.wav
1. convert tone color of "test.mp4" to default built-in base speaker "en-default"
voice_clone -s test.mp4
output 1 file:
test--en-default.wav # test.mp4 --> en-default
2. convert tone color of "test1.mp4" and "test2.wav" to built-in base speaker "zh"
voice_clone -s test1.mp4:test2.wav -t zh
output 2 files:
test1--zh.wav # test1.mp4 --> zh
test2--zh.wav # test2.wav --> zh
3. convert tone color of "test.mp4" to built-in base speaker "zh" and "my_voice.wav"
voice_clone -s test.mp4 -t zh:my_voice.wav
output 2 files:
test--zh.wav # test.mp4 --> zh
test--my_voice.wav # test.mp4 --> my_voice.wav
4. convert tone color of "test1.mp4" and "test2.wav" to built-in base speaker "zh" and "my_voice.wav", save extracted tone color
voice_clone -s test1.mp4:test2.wav -t zh:my_voice.wav -S -n result1.wav:result2.wav -o ./result
output 5 files:
test1.tone # test1.mp4 tone color, next time use test1.mp4, will skip extract tone color from test1.mp4, use test1.tone directly
test2.tone # test2.wav tone color, next time use test2.wav, will skip extract tone color from test2.wav, use test2.tone directly
my_voice.tone # my_voice.wav tone color, next time use my_voice.wav, will skip extract tone color from my_voice.wav, use my_voice.tone directly
./result/result1.wav # test1.mp4 --> zh
./result/result2.wav # test2.wav --> my_voice.wav
os: ubuntu 22.04, CPU: i7-13700K, GPU: NVIDIA GeForce RTX 4090, cuda: 12.2
| CPU/GPU | thread | elapsed time | command |
|---|---|---|---|
| CPU | 1 | ~40s | voice_clone -s test_data/test.wav -T 1 |
| CPU | 10 | ~16s | voice_clone -s test_data/test.wav -T 10 |
| CPU | 20 | ~15s | voice_clone -s test_data/test.wav -T 20 |
| CPU | all | ~14s | voice_clone -s test_data/test.wav -T 0 |
| GPU | ~1.6s | voice_clone -s test_data/test.wav |
- default use cpu and simple vad (not require onnx)
git clone https://github.com/jingangdidi/voice_clone.git
cd voice_clone
cargo build --release
- use silero vad (require onnx)
- default = ["simple_vad"]
+ default = ["silero_vad"]- use GPU
- candle-core = { git = "https://github.com/jingangdidi/candle", package = "candle-core", branch = "main" }
+ candle-core = { git = "https://github.com/jingangdidi/candle", package = "candle-core", branch = "main", features = ["cuda"] }
- candle-nn = { git = "https://github.com/jingangdidi/candle", package = "candle-nn", branch = "main" }
+ candle-nn = { git = "https://github.com/jingangdidi/candle", package = "candle-nn", branch = "main", features = ["cuda"] }Usage: voice_clone -s <source> [-t <target>] [-n <name>] [-m <model>] [-S] [-T <thread>] [-o <outpath>]
voice clone
Options:
-s, --source source files, colon separated
-t, --target target files, colon separated. -t also support base speakers: en-au, en-br, en-default, en-india, en-newest, en-us, es, fr, jp, kr, zh. default: en-default
-n, --name result voice file names, colon separated, default: source--target.wav
-m, --model openvoice model path, default: ./checkpoints_v2/converter
-S, --save save source and target tone color to to the same directory as the specified -s and -t files, maintaining identical nomenclature while altering the format extension to ".tone"
-T, --thread cpu threads, 0 means all threads, default: 4
-o, --outpath output path, default: ./
-h, --help display usage information
- [2025.08.25] release v0.1.1
- 🛠Fix: Replace the fixed value 44100 in the code with the actual sample rate of the source and target voice.
- ⭐️Add: Support print source and target tone cosine similarity.
- 💪🏻Optimize: Support voice less than 10 seconds.
- [2025.08.08] release v0.1.0