Local TTS model

VieNeu-TTS v3 Turbo

Q: Can VieNeu-TTS v3 Turbo run locally?

VieNeu-TTS v3 Turbo is listed by LocalClaw as a local TTS option. Hardware fit depends on runtime, model size and backend support.

Catalogue summary: Apache-licensed Vietnamese-first TTS model trained from scratch on English-Vietnamese speech. The v3 Turbo release ships safetensors plus ONNX and ONNX INT8 exports, runs through the official `vieneu` Python SDK with a torch-free CPU path, and supports 48 kHz output, 20 preset voices, instant voice cloning, real-time streaming, emotion cues and bilingual code-switching.

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

Edge readytext-to-speech generation2 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

9.2/10

Catalogue speed

9.4/10

Model size

~0.55 GB ONNX CPU path; 0.26 GB safetensors

Voices

20 preset Vietnamese voices plus 3-8 second reference-audio cloning

Can VieNeu-TTS v3 Turbo run locally?

VieNeu-TTS v3 Turbo 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

cloningstreamingrealtimemultilingualemotiondialogue

Audio profile

Cat. quality

9.2

Cat. speed

9.4

Audio

9.3

Best fit

VieNeu-TTS v3 Turbo is best for local voice cloning and expressive speech generation.

Hardware: cpugpuappleedge

Model details

Type

Local TTS model

Family

vieneu

Latency

ultra-low

Formats

onnxpytorchsafetensors

Languages

vi, en

Context

Original Vietnamese/English architecture, 48 kHz output, ONNX CPU streaming, CUDA PyTorch batch path, official web UI and SDK

Install locally

Check runtimeConfirm the backend supports onnx, 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
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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