F5-TTS
MIT (code) · CC-BY-NC-4.0 (weights)Flow-matching TTS, fast zero-shot voice cloning
F5-TTS uses flow matching with a diffusion transformer to produce fluent, faithful zero-shot voice clones from a single short reference. It became a community favorite for its simple architecture, fast inference, and surprisingly robust cloning quality. The official pretrained weights are CC-BY-NC-4.0 (non-commercial); a community retrain called OpenF5-TTS is Apache-licensed for commercial use.
Best for: Flow-matching TTS, fast zero-shot voice cloning
Noncommercial / separate license: The publisher explicitly limits pretrained weights because of the training-data license. MIT covers code, not commercial use of those weights.
Code: MIT. Weights: CC-BY-NC-4.0. License sources checked 2026-09-20. Source 1Source 2Source 3
Before you choose: Compare the samples with your own use case. Check the linked documentation for code, weight, and voice license terms.
Details awaiting a fresh review. Hardware figures are estimates unless a benchmark is linked.
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Voices
1 voiceThe scripts
Run F5-TTS
pip install f5-ttsSources & setup details
F5-TTS FAQ
Do I need a GPU to run F5-TTS?
The directory lists roughly 8 GB of VRAM as a historical estimate. Check the model documentation for your checkpoint and runtime.
Can F5-TTS clone voices?
Yes — F5-TTS supports voice cloning from reference audio.
What license is F5-TTS released under?
F5-TTS is released under the MIT (code) · CC-BY-NC-4.0 (weights) license. Always check the repository for the exact terms — some models license code and weights separately.
What languages does F5-TTS support?
F5-TTS supports English, Chinese.
Is there a hosted F5-TTS API?
OpenSpeech Cloud is accepting production-access interest for F5-TTS, but this model is not currently hosted in Cloud. Use the official repository for current deployment options.