LocalClaw/TTS/WavTTS
Local TTS model

WavTTS

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.

GPU recommended text-to-speech generation 2 languages CC-BY-NC 4.0 weights / MIT code
Compare TTS models Open source page
Quality
9.1/10
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. Start with git clone https://github.com/cwx-worst-one/WavTTS && pip install -e ..

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

git clone https://github.com/cwx-worst-one/WavTTS && pip install -e . Upstream source
cloningmultilingualcontrollable

Audio profile

Quality
9.1
Speed
5.2
Local
7.2

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
Install modelUse the upstream command or repository instructions.
03
Test locallyRun a short private audio prompt before moving into production workflows.
git clone https://github.com/cwx-worst-one/WavTTS && pip install -e .

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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