Model reference · open weights
Breeze-TTS-2 is an open-weight audio or speech model from BreezeBlue, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
[!IMPORTANT] Source code is licensed under Apache 2.0. Breeze TTS 2 model weights, derivative models, and self-hosted outputs are for research and non-commercial use only. See License. 📰 News - [2026.08.25] 🎉 We open-source Breeze TTS 2 model weights and the PyTorch inference code. - [2026.08.07] 🔥 We release the TTS benchmark suite for voice design, voice direction, and latency evaluation. 📖 Introduction Breeze TTS 2 is an open-weight text-to-speech model built for real-time interaction. It ranks #1 among open-weight models on the Artificial Analysis TTS leaderboard, while outperforming frontier proprietary systems. Its open-ended natural-language instruction-following capability supports reference-free voice design and reference-guided voice direction, while ultra-low-latency streaming enables responsive, expressive interaction. ✨ Highlights - 🎙️ Voice Clone — Uses reference audio with its exact transcript to preserve timbre, rhythm, emotion, and style. - 🎨 Voice Design — Creates a distinctive voice from a natural-language description, without reference audio. - 🎛️ Voice Direction — Clones a voice from reference audio while steering tone, emotion, pace, and delivery. - 🎭 Vocal Events — Adds expressive inline events directly in the text: use parentheses in English, such as (laugh), (cough), (clears throat), and (sigh); use square brackets in Chinese, such as [笑], [咳嗽], [清嗓子], and [叹气]. - ⚡ Ultra-Low Latency — Achieves under 40 ms time to first audio (TTFA) with the warmed-up fast path on an NVIDIA H100. - 🌊 Real-Time Streaming — Reaches a 0.32 real-time factor (RTF), generating audio at approximately 3.1× real time with the warmed-up fast path on an NVIDIA H100. - 💾 GPU-Efficient — Eager inference uses approximately 7.7 GiB of GPU memory; a 12 GB GPU is the minimum recommended configuration. - 🌏 Bilingual Support — Generates natural English and Chinese speech with a single model. 🚀 Quick Start Requirements - Linux and Python 3.10 or newer - A CUDA-capable NVIDIA GPU - GPU memory: approximately 7.7 GiB for eager inference or 14.4 GiB with --fast-all; use a 12 GB GPU for eager or a 24 GB GPU for the fast path - The Breeze TTS 2 checkpoint Installation Download th
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | BreezeBlue |
|---|---|
| Type | Audio & music |
| Parameters (lead) | 3.5B |
| Variants | 1 |
| Runs with | transformers |
| Released | 2026-08-25 |
| Popularity | 2k downloads / month |
| Likes | 216 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| Breeze-TTS-2 | 3.5B | BF16 | ~8 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys breeze-tts-2 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (breeze-tts-2 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/audio/transcriptions \ -H "Authorization: Bearer $AXFORGE_API_KEY" \ -F model="breeze-tts-2" -F file=@audio.mp3
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Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗