Access Microsoft's open-source 1.5B parameter neural voice synthesis AI. Clone repository, contribute to development, and join our active developer community.
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Open Source License
VibeVoice is developed openly on GitHub with complete transparency. Our repository contains the full source code, model weights, training scripts, documentation, and examples needed to get started with professional-grade voice synthesis.
Complete Source Code - Full implementation with detailed comments and documentation
Model Weights Included - Pre-trained 1.5B parameter models ready for use. Learn about the 1.5B model.
Active Development - Regular updates with new features and improvements
Community Driven - Open to contributions and feedback from developers worldwide
The repository is organized for easy navigation and contribution. All components are modular and well-documented to help developers understand and extend the codebase.
# Clone the repository
git clone https://github.com/vibe-voice/vibevoice-1.5b.git
# Navigate to the directory
cd vibevoice-1.5b
# Check the branch
git checkout mainWant to skip installation? Try VibeVoice online or see the live demo.
# Create virtual environment
python -m venv venv
# Activate virtual environment
source venv/bin/activate # Linux/Mac
# or
venv\Scripts\activate # Windows
# Install dependencies
pip install -e .# Test installation
python -c "import vibevoice; print('VibeVoice installed successfully!')"
# Run example
python examples/basic_usage.py
# Check version
python -c "import vibevoice; print(vibevoice.__version__)"# Install from PyPI
pip install vibevoice
# Install specific version
pip install vibevoice==1.0.0
# Install with extras
pip install vibevoice[dev,docs]Clone from GitHub and install from source for development and contribution.
git clone https://github.com/vibe-voice/vibevoice-1.5b
cd vibevoice-1.5b
pip install -e .Install directly from Python Package Index for quick deployment.
pip install vibevoice
# Or with GPU support
pip install vibevoice[gpu]Use pre-built Docker images for consistent deployment environments.
docker pull vibevoice/vibevoice-1.5b:latest
# Run container
docker run -it vibevoice/vibevoice-1.5bWe welcome contributions from all developers! Whether you're fixing bugs, adding features, improving documentation, or sharing feedback, your input helps make VibeVoice better.
Fork the Repository - Create your own fork of VibeVoice on GitHub
Create a Branch - Make your changes in a feature branch
Submit Pull Request - Open a PR with detailed description of changes
Code Review - Collaborate with maintainers to merge your changes
Complete setup instructions, usage examples, and API documentation.
Detailed guidelines for contributing to VibeVoice development.
Apache 2.0 license information and usage rights.
Report bugs, request features, and track development progress.
Community discussions, Q&A, and collaborative development.
Version history, changelog, and download latest releases.
Technical discussions, feature requests, and development collaboration with 2,500+ community members.
Real-time chat with developers, voice synthesis experts, and community support in our dedicated Discord server.
Stay updated with latest features, releases, and community highlights through our monthly newsletter.
Clone VibeVoice using: git clone https://github.com/vibe-voice/vibevoice-1.5b.git.
Then install dependencies with pip install -e .
Yes, VibeVoice is completely open source under Apache 2.0 license. Source code, model weights, and documentation are all available on GitHub for complete transparency.
You can contribute by submitting pull requests, reporting issues, improving documentation, or joining discussions on GitHub Issues and Discord. All contributions are welcome!
VibeVoice primarily supports Python with PyTorch integration. Additional bindings are available for JavaScript, C++, and Go through community contributions.
Get help through GitHub Issues, Discord community, comprehensive documentation, or enterprise support for production deployments.
Yes, please read our CONTRIBUTING.md file for detailed guidelines on code style, testing requirements, and the pull request process.