GNU Affero General Public License v3.0

项目介绍

madushan1000/voxcpm_rs 是一个托管在 GitHub 上的开源项目,主要使用 Rust 编写,采用 GNU Affero General Public License v3.0 许可证,目前获得 22 个 Star、4 次 Fork。

仓库全名
madushan1000/voxcpm_rs
开源许可证
GNU Affero General Public License v3.0
Star 数
22
Fork 数
4

README 摘要

This is rust (using burn) implementation of VoxCPM. How to use Build voxcpm-rs. Download the model weights and convert them. Run it. Or. The example voice is from OHF-Voice public domain voice dataset

完整内容见 GitHub 原始 README 或本页 。

常见问题

voxcpm_rs 用什么语言开发?

主要使用 Rust 编写,采用 GNU Affero General Public License v3.0 许可证,目前有 22 个 Star。

voxcpm_rs 可以免费商用吗?

仓库标注的许可证为 GNU Affero General Public License v3.0,商用前请先阅读仓库 LICENSE 文件确认授权范围。

如何获取 voxcpm_rs 的源码?

可以直接克隆仓库:git clone https://github.com/madushan1000/voxcpm_rs.git;安装与运行步骤见仓库 README。

voxcpm_rs 最近还在维护吗?

仓库最近一次更新为 4月10日,当前没有未关闭的 Issue;Star 数为 22,可作为社区活跃度的参考。

关于

GitHub 原始描述(英文)

Rust (using burn) implementation of VoxCPM

描述取自 GitHub 官方 API,保持仓库作者书写的原文。

简要分析

热度分
52
价值分
16
活跃状态
活跃

语言占比

Rust

贡献者

README

This is rust (using burn) implementation of VoxCPM.

How to use

Build voxcpm-rs.

git clone https://github.com/madushan1000/voxcpm_rs
cd voxcpm_rs
cargo build --release

Download the model weights and convert them.

git clone https://huggingface.co/openbmb/VoxCPM-0.5B
cd voxcpm_rs
cargo run --release --bin voxcpm convert --input-path ../VoxCPM-0.5B/ --output-path burn-models/

Run it.

cargo run --release --bin voxcpm run --model-path burn-models/ \
          --target-text 'VoxCPM is an innovative end-to-end TTS model from ModelBest, designed to generate highly expressive speech.'
mpv output.wav

Or.

cargo run --release --bin voxcpm run --model-path burn-models/ \
            --max-len 200 \
            --target-text 'VoxCPM is an innovative end-to-end TTS model from ModelBest, designed to generate highly expressive speech.' \
            --prompt-text "Having complete focus on a recipe and not allowing yourself to be distracted by your thoughts, can have a therapeutic effect." \
            --prompt-wav-path voices/en_US_joe.wav
mpv output.wav

The example voice is from OHF-Voice public domain voice dataset.

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