Model reference · open weights

OpenVoice

Audio myshell-ai Text→speech 1 build Open weights 0 dl/mo

OpenVoice is an open-weight audio or speech model from myshell-ai. OpenVoice (BF16) weighs 452 MB; the smallest configuration that runs it is RTX 3060 12 GB.

  • OpenVoice is a text-to-speech model developed by myshell-ai that performs instant voice cloning from a short audio clip.
  • It supports English and Chinese, allowing for granular control over voice styles such as emotion, accent, rhythm, pauses, and intonation.
  • The model is released under the MIT license.

Summary of the myshell-ai/OpenVoice model card, 2026-10-01

What it is

Released bymyshell-ai
Released2024-01-02
VRAM452 MB for the weights

What it runs on

Memory and cards for OpenVoice (BF16)

452 MBweights, file size
1.6 GBruntime overhead
CardOne streamMemory
RTX 3060 12 GBfits11.6 GB
RTX 4060 Ti 16 GBfits15.4 GB
RTX 3090 24 GBfits23.4 GB
RTX 4090 24 GBfits23.4 GB
RTX 5090 32 GBfits31.0 GB
L40S 48 GBfits44.0 GB
A100 80 GBfits78.2 GB
H100 80 GBfits78.1 GB
RTX PRO 6000 Blackwell 96 GBfits93.8 GB
DGX Spark (GB10) 128 GB unifiedfits107 GB
H200 141 GBfits138 GB
B200 180 GBfits176 GB

From the model card

What myshell-ai says about OpenVoice

Read the model card

OpenVoice, a versatile instant voice cloning approach that requires only a short audio clip from the reference speaker to replicate their voice and generate speech in multiple languages. OpenVoice enables granular control over voice styles, including emotion, accent, rhythm, pauses, and intonation, in addition to replicating the tone color of the reference speaker. OpenVoice also achieves zero-shot cross-lingual voice cloning for languages not included in the massive-speaker training set.

Features

  • Accurate Tone Color Cloning. OpenVoice can accurately clone the reference tone color and generate speech in multiple languages and accents.
  • Flexible Voice Style Control. OpenVoice enables granular control over voice styles, such as emotion and accent, as well as other style parameters including rhythm, pauses, and intonation.
  • Zero-shot Cross-lingual Voice Cloning. Neither of the language of the generated speech nor the language of the reference speech needs to be presented in the massive-speaker multi-lingual training dataset.

How to Use

Please see usage for detailed instructions.

Links

Quoted from the model card on Hugging Face. The full card is behind the Hugging Face link above.

How it works

How audio & music work

Audio or textinputAudio modelrecognise / synthesiseText or audiooutputSpeech-to-text turns audio into text; text-to-speech and music models turn text into audio.
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