Higgs Audio is a text-to-speech foundation model that converts text into spoken audio across more than 100 languages with support for zero-shot voice cloning and inline control over emotion, style, and prosody.
The tool addresses the need for multilingual, expressive speech synthesis by using a foundation model approach trained on diverse audio and text data. Users can generate natural-sounding speech with fine-grained control over delivery characteristics without requiring speaker-specific training data. The model handles conversational speech patterns and supports streaming output for real-time applications.
Developers can adopt Higgs Audio through two paths: calling a hosted API managed by Boson AI, which requires no local setup or GPU and offers rate-limited free access, or self-hosting the open weights using SGLang-Omni as the serving framework. The hosted API provides OpenAI-compatible endpoints with preset voices and streaming capabilities. Self-hosting requires GPU resources but offers full control and is suitable for production deployments. The model weights are available on Hugging Face. Note that non-commercial use is covered under the research license, while production and revenue-generating applications require a separate commercial license.
The repository itself is now primarily a pointer to the latest model release, with the full codebase and documentation for earlier versions preserved in separate files. The project maintains active support guidelines and contribution documentation. Development appears focused on advancing the model architecture itself rather than expanding the reference implementation in this repository.
