Local TTS model

Vui Nano

Q: Can Vui Nano run locally?

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

Catalogue summary: Apache-licensed conversational TTS model built around a 305M-parameter autoregressive speech transformer over the Qwen3-TTS codec. It ships downloadable safetensors weights, a `vui-tts` Python engine, voice cloning, streaming generation, an MLX path for Apple Silicon and a dependency-free C CPU build for local voice assistants.

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

Edge readytext-to-speech generation1 languagesApache 2.0

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

9.2/10

Model size

305M params; 611 MB bf16 safetensors

Voices

Four preset voices plus user reference-audio cloning

Can Vui Nano run locally?

Vui Nano 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.

Apache 2.0 license. Still verify upstream usage notes before shipping.

Upstream source

cloningstreamingrealtimedialoguelow-latency

Audio profile

Cat. quality

8.9

Cat. speed

9.2

Audio

9.0

Best fit

Vui Nano is best for local voice cloning and expressive speech generation.

Hardware: cpugpuappleedge

Model details

Type

Local TTS model

Family

vui

Latency

low

Formats

pytorchsafetensorsmlxc

Languages

Context

Vui Nano uses a ~6 minute conversational KV context, 24 kHz decoded audio, ~9x realtime streaming on RTX 4090, MLX support on Apple Silicon and a standalone C CPU build

Install locally

Check runtimeConfirm the backend supports pytorch, safetensors, mlx, c 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
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.

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