MegaTTS 3
Apache-2.0ByteDance's TTS with sparse alignment — robust prosody
MegaTTS 3 is ByteDance's open release: a compact 0.45B diffusion-transformer TTS with high-quality zero-shot cloning, bilingual Chinese/English support with code-switching, and unusual extras like adjustable accent intensity for pronunciation control.
Hear MegaTTS 3
Standardized samples are pending for this release. See the official sources below for the author’s demo.
MegaTTS 3 · Default · Same three scripts across the directory.
Best for: ByteDance's TTS with sparse alignment — robust prosody
Permissive model license: Official repository and checkpoint agree on Apache-2.0. Any separately downloaded reference latents, recordings or conversion dependencies need their own asset review.
Code: Apache-2.0. Weights: Apache-2.0. 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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No samples yet
Every model in this directory is read against the same three scripts so voices can be compared honestly — MegaTTS 3’s samples just haven’t been generated yet.
Contribute samples on GitHub →Run MegaTTS 3
pip install megatts3Sources & setup details
MegaTTS 3 FAQ
Do I need a GPU to run MegaTTS 3?
The directory lists roughly 8 GB of VRAM as a historical estimate. Check the model documentation for your checkpoint and runtime.
Can MegaTTS 3 clone voices?
Yes — MegaTTS 3 supports voice cloning from reference audio.
What license is MegaTTS 3 released under?
MegaTTS 3 is released under the Apache-2.0 license. Always check the repository for the exact terms — some models license code and weights separately.
What languages does MegaTTS 3 support?
MegaTTS 3 supports Chinese, English.
Is there a hosted MegaTTS 3 API?
OpenSpeech Cloud is accepting production-access interest for MegaTTS 3, but this model is not currently hosted in Cloud. Use the official repository for current deployment options.