Local TTS model

WavTTS

Catalogue summary: Research-grade zero-shot TTS that generates speech directly in raw waveform space instead of mel spectrograms, codec tokens or VAE latents. High-fidelity EN/ZH voice cloning direction, but the official 16 kHz checkpoint is large and best for CUDA GPU setups.

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

GPU recommendedtext-to-speech generation2 languagesCC-BY-NC 4.0 weights / MIT code
Choose an app

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

Catalogue quality
9.1/10
Catalogue speed
5.2/10
Model size
10.8 GB
Voices
Zero-shot EN/ZH voice cloning from reference audio

Can WavTTS run locally?

WavTTS 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.

CC-BY-NC 4.0 weights / MIT code license. Review upstream restrictions before commercial use.

cloningmultilingualcontrollable

Audio profile

Cat. quality
9.1
Cat. speed
5.2
Audio
7.9

Best fit

WavTTS is best for local voice cloning and expressive speech generation.

Hardware: gpu

Model details

Type
Local TTS model
Family
wavtts
Latency
high
Formats
pytorch
Languages
en, zh
Context
Official 16 kHz checkpoint, direct raw waveform generation with flow matching + DiT

Install locally

01
Check runtimeConfirm the backend supports pytorch on your machine.
02
Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.
03
Test locallyRun a short private audio prompt before moving into production workflows.

Good for

  • text-to-speech generation
  • GPU recommended local workflows
  • cloning, multilingual, controllable

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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