A powerful local text-to-speech engine by Alibaba optimized for macOS Apple Silicon with advanced zero-shot voice cloning and dialect support.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cosyvoice3-macos
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install cosyvoice3-macos using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
CosyVoice3 is a state-of-the-art text-to-speech (TTS) system based on large language models, specifically optimized for high-performance execution on macOS Apple Silicon. As a key addition to the library of Openclaw Skills, it enables developers to generate natural-sounding speech across 9 languages and over 18 Chinese dialects without relying on external cloud APIs. The skill excels in producing expressive audio with fine-grained control over emotions and prosody.
By integrating this skill into your workflow, you gain access to zero-shot voice cloning, allowing you to replicate any voice from just a few seconds of reference audio. Whether you need cross-lingual synthesis or offline inference, CosyVoice3 provides a robust, privacy-focused solution for high-quality audio generation directly on your local machine using M-series chips.
To get started with this skill from the Openclaw Skills collection, ensure you have an Apple Silicon Mac and Conda installed. Run the following commands:
# Navigate to the skill scripts directory
cd ~/.openclaw/workspace/skills/cosyvoice3/scripts
# Run the automated installation script
bash install.sh
This script handles environment creation, PyTorch installation for macOS, and model downloads (~5GB). To activate the environment manually for usage:
conda activate cosyvoice
CosyVoice3 organizes its models and outputs within a structured repository to ensure high-performance access. The primary data structure includes:
| Component | Path/Location | Description |
|---|---|---|
| Model Files | pretrained_models/ |
Stores the 0.5B and 300M parameter model weights. |
| Reference Assets | asset/ |
Pre-loaded audio for zero-shot and cross-lingual prompts. |
| Skill Scripts | scripts/ |
Contains install.sh and tts.py for automation. |
| Output Files | User-defined | Generated .wav files saved via CLI arguments. |
Reference audio should be 16kHz+ and 3-10 seconds long for the most accurate voice cloning results.
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