StyleTTS 2
MIT code; pretrained voice conditionsDiffusion-based, human-level naturalness on LibriTTS
StyleTTS 2 made waves by reaching human-level naturalness on standard English benchmarks using style diffusion and adversarial training with large speech-language models. It supports zero-shot speaker adaptation from a short reference clip and remains a favorite for natural prosody.
Best for: Diffusion-based, human-level naturalness on LibriTTS
Commercial conditions: The README requires permission or synthesized-speech disclosure for certain reference voices outside the training set. Its code license is MIT, but the pretrained-model terms must also be followed.
Code: MIT. Weights: Publisher pretrained-model conditions. 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 StyleTTS 2
pip install styletts2Sources & setup details
StyleTTS 2 FAQ
Do I need a GPU to run StyleTTS 2?
The directory lists roughly 4 GB of VRAM as a historical estimate. Check the model documentation for your checkpoint and runtime.
Can StyleTTS 2 clone voices?
Yes — StyleTTS 2 supports voice cloning from reference audio.
What license is StyleTTS 2 released under?
StyleTTS 2 is released under the MIT code; pretrained voice conditions license. Always check the repository for the exact terms — some models license code and weights separately.
What languages does StyleTTS 2 support?
StyleTTS 2 supports English.
Is there a hosted StyleTTS 2 API?
OpenSpeech Cloud is accepting production-access interest for StyleTTS 2, but this model is not currently hosted in Cloud. Use the official repository for current deployment options.