Local TTS model

ZeroTTS

Q: Can ZeroTTS run locally?

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

Catalogue summary: MIT-licensed Vietnamese zero-shot TTS model optimized for laptop CPU inference. The Hugging Face release ships ONNX Runtime graphs, bundled speaker latent voices and a local Python package with a streaming API; its public card explicitly says the voice encoder for creating new reference-audio clones is not included in this release.

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

Edge readytext-to-speech generation2 languagesMIT

Choose an app

Start with Recommended. No terminal commands are shown.

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Open model filesRecommended verified starting point Open in UnslothLaunches Unsloth Desktop on this model Open Python packageVerified package page without exposing a command 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

8.9/10

Catalogue speed

9.6/10

Model size

~0.91 GB repo; 202M params

Voices

Bundled Vietnamese speaker latents; reference-audio voice encoder is not released

Can ZeroTTS run locally?

ZeroTTS 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.

MIT license. Still verify upstream usage notes before shipping.

Upstream source

streamingrealtimemultilinguallow-latency

Audio profile

Cat. quality

8.9

Cat. speed

9.6

Audio

9.1

Best fit

ZeroTTS is best for fast on-device voice responses and local assistants.

Hardware: cpugpuappleedge

Model details

Type

Local TTS model

Family

zerotts

Latency

ultra-low

Formats

onnx

Languages

vi, en

Context

ONNX Runtime CPU path, 48 kHz output, streaming synthesis with roughly 70 ms first-audio timing reported on laptop CPU, Vietnamese-first with embedded English/code-switch support

Install locally

Check runtimeConfirm the backend supports onnx 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
Edge ready local workflows
streaming, realtime, multilingual

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.

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