Local TTS model

Breeze TTS 2

Q: Can Breeze TTS 2 run locally?

Breeze TTS 2 is listed by LocalClaw as a local TTS option. Hardware fit depends on runtime, model size and backend support.

Catalogue summary: BreezeBlue's open-weight 3B speech generation model for real-time bilingual English and Chinese TTS. It supports reference-audio voice cloning, text-only voice design, voice direction, inline vocal events and a local PyTorch streaming API, with a 12 GB CUDA GPU floor for eager inference.

Repository editorial metadata; verify comparative claims in the linked upstream material.

GPU recommendedtext-to-speech generation2 languagesBreezeBlue Research and Non-Commercial License

Choose an app

Start with Recommended. No terminal commands are shown.

Compare speech models

Open model filesRecommended verified starting point Open in UnslothLaunches Unsloth Desktop on this model Open official projectApplication source and guided setup Open on Hugging FaceFiles, licence and model card Check my machineOptional: verify the fit with your saved hardware

Desktop app links require the app to be installed. If nothing opens, LocalClaw will show app-download and model-file fallbacks.

Catalogue quality

9.6/10

Catalogue speed

8.4/10

Model size

3B params; ~7.7 GiB eager VRAM

Voices

Voice cloning, design and direction

Can Breeze TTS 2 run locally?

Breeze TTS 2 can generate speech locally for private voice workflows. Use the verified setup options on this page; no terminal command is required to choose the right path.

BreezeBlue Research and Non-Commercial License license. Review upstream restrictions before commercial use.

Upstream source

cloningstreamingrealtimeemotioncontrollable

Audio profile

Cat. quality

9.6

Cat. speed

8.4

Audio

9.2

Best fit

Breeze TTS 2 is best for local voice cloning and expressive speech generation.

Hardware: gpu

Model details

Type

Local TTS model

Family

breeze

Latency

ultra-low

Formats

transformerspytorchsafetensors

Languages

en, zh

Context

3B F32/BF16 checkpoint, PyTorch CLI/API, 24 kHz streaming PCM, 12 GB GPU minimum for eager inference

Install locally

Check runtimeConfirm the backend supports transformers, pytorch, safetensors on your machine.

Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.

Test locallyRun a short private audio prompt before moving into production workflows.

Good for

text-to-speech generation
GPU recommended local workflows
cloning, streaming, realtime

Watch before shipping

Validate pronunciation, latency and artifacts with your own voice samples.
Review the upstream license and acceptable-use notes.
Benchmark on your target CPU, Apple Silicon or GPU setup.

Related TTS and speech models

CompareBrowse all TTS models Local AIBrowse LLM models macOS appGet LocalClaw