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LatestBreezeBlue2
BreezeBlueText → Speech

Breeze-TTS-2 Brings Open Voice Cloning to English

BreezeBlue's second-generation text-to-speech model pairs voice cloning with controllable direction, all under an open release on Hugging Face.

Aug 25, 2026
UpdateOther
Breeze-TTS-2

BreezeBlue has released Breeze-TTS-2, an open text-to-speech model focused on English speech synthesis with voice cloning and controllable direction. The model is available now on Hugging Face under a custom license.

The headline feature is voice cloning, which lets users reproduce a target voice from reference audio rather than relying on a fixed set of built-in speakers. The model also emphasizes design and direction — a nod toward giving developers more control over how generated speech sounds, not just what it says.

Why it matters

Open TTS models remain relatively scarce compared to the flood of open text and image models, and controllable voice cloning is usually locked behind commercial APIs. A freely available option lowers the barrier for developers building assistants, accessibility tools, and media applications who want to run synthesis locally.

A few details are worth noting for anyone evaluating it:

  • English is the sole supported language at launch
  • The model ships under an "other" custom license, so terms should be reviewed before commercial use
  • Parameter count and audio sample rate are not specified in the release

As a second-generation model, Breeze-TTS-2 signals ongoing investment in the family, though BreezeBlue keeps a low profile. Interested developers can find weights and documentation on the project's Hugging Face page.

Sources

  • BreezeBlue/Breeze-TTS-2

    Hugging Face

    Visit
OlderIBM's Granite 4.2 Adds Reasoning to Open LLM LineIBM · Text / LLM · 2 months agoNewerQwen-Drive 1.0 targets autonomous driving with a 4B VLMQwen · Alibaba · Vision-Language · last month

Get the model

Hugging Face

Specs

LanguagesEnglish
Size7 GB
PrecisionBF16
ArchitectureBreezeForConditionalGeneration
LicenseOTHER
Downloads11.8K
Likes684

Can you run it?

Runs on a laptop — about 4.5 GB at FP8.

  • BF16 (as published)

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    8 GB
  • FP8

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    4.5 GB
Your machine

Based on Hugging Face weights metadata. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Text → Speech

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