Breeze TTS 2
BreezeBlue · Breeze
Released August 2026 and currently the #1 open-weight model on the Artificial Analysis speech arena (1,215 Elo). Supports voice cloning from a short reference clip, voice design from a text description, and inline direction tags like (sigh) for emotion. Needs a 12 GB GPU for eager inference or 24 GB for the faster path. Weights are BreezeBlue's Research Non-Commercial license — the code is Apache 2.0, but commercial use requires their paid API.
Params
3B
License
BreezeBlue Research Non-Commercial (code: Apache 2.0)
Min VRAM
12 GB GPU (7.7 GiB eager) / 24 GB GPU (14.4 GiB fast path)
Speed
Time to first audio <40ms · real-time factor 0.32
Languages
English, Chinese
Tier
Heavy
Install & run locally
git clone https://github.com/breezeblue-ai/breeze-tts.git
cd breeze-tts
python -m pip install -r requirements.txt
python infer.py ../breeze-tts-2 \
--ref-audio reference_en.wav \
--ref-text "This is the exact transcript of the English reference audio." \
--text "(sigh) It is good to hear your voice again after all this time." \
--output outputs/voice_clone_en.wavFull install and usage docs on the Hugging Face model card.
Will it run on my hardware?
Breeze TTS 2 needs about 12 GB GPU (7.7 GiB eager) / 24 GB GPU (14.4 GiB fast path) of fast memory. Here is what in our hardware database clears that bar.
Runs at full speed · 12
Runs, but slower on shared memory · 3
Hardware links are affiliate links. We earn a small commission if you buy through them — at no extra cost to you. Disclosure
Specifications
| Parameters | 3B |
|---|---|
| License | BreezeBlue Research Non-Commercial (code: Apache 2.0) |
| Min VRAM | 12 GB GPU (7.7 GiB eager) / 24 GB GPU (14.4 GiB fast path) |
| Speed | Time to first audio <40ms · real-time factor 0.32 |
| Languages | English, Chinese |
| Recommended tier | Heavy |
| Best for | voice cloningvoice designvoice direction |
Source
Not distributed through Ollama — install and run it directly from the model card.
View on Hugging FacePopularity trend (illustrative)
Illustrative adoption trend, not actual download counts. We do not publish a download number for any model because we have no honest source for it.
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Min VRAM
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Speed
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Install & run
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Min VRAM
Not published — FlashAttention recommended to reduce memory use
Speed
End-to-end synthesis latency as low as 97ms (streaming)
Install & run
pip install -U qwen-tts