Local Llama TTS

这是一款本地离线文本转语音工具，依托llama-tts与OuteTTS-1.0-0.6B模型实现语音合成，支持GPU加速。通过`tts-local.sh`脚本调用，可自定义输出WAV文件、指定参考音色、调整生成温度等参数；需预先下载指定模型与声码器文件，适用于无网络环境下的语音生成需求，输入文本与可选参数后输出语音音频。

wuxxin

热度 69.44

最近更新 2026-05-17 12:10:07

分类：创作依赖：代码执行 / 读写文件应用场景：文件转换

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add local-llama-tts

Metadata

name: local-llama-tts
description: Local text-to-speech using llama-tts (llama.cpp) and OuteTTS-1.0-0.6B model.
metadata: {"openclaw":{"emoji":"🔊","requires":{"bins":["llama-tts"]}}}

Local Llama TTS

Synthesize speech locally using llama-tts and the OuteTTS-1.0-0.6B model.

Usage

You can use the wrapper script:

scripts/tts-local.sh [options] "<text>"

Options

-o, --output <file>: Output WAV file (default: output.wav)
-s, --speaker <file>: Speaker reference file (optional)
-t, --temp <value>: Temperature (default: 0.4)

Scripts

Location: scripts/tts-local.sh (inside skill folder)
Model: /data/public/machine-learning/models/text-to-speach/OuteTTS-1.0-0.6B-Q4_K_M.gguf
Vocoder: /data/public/machine-learning/models/text-to-speach/WavTokenizer-Large-75-Q4_0.gguf
GPU: Enabled via llama-tts.

Setup

Model: Download from OuteAI/OuteTTS-1.0-0.6B-GGUF
Vocoder: Download from ggml-org/WavTokenizer (Note: Felix uses a Q4_0 version, Q5_1 is linked here as a high-quality alternative).

Place files in /data/public/machine-learning/models/text-to-speach/ or update scripts/tts-local.sh.

Sampling Configuration

The model card recommends the following settings (hardcoded in the script):

Temperature: 0.4
Repetition Penalty: 1.1
Repetition Range: 64
Top-k: 40
Top-p: 0.9
Min-p: 0.05