LocalClaw/TTS/StyleTTS 2
Local TTS model

StyleTTS 2

Catalogue summary: Style-based TTS with high naturalness and style diffusion. Academic research model with excellent quality.

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

GPU recommendedtext-to-speech generation3 languagesMIT
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Open model filesRecommended verified starting pointOpen in UnslothLaunches Unsloth Desktop on this modelOpen Python packageVerified package page without exposing a commandOpen on Hugging FaceFiles, licence and model cardCheck my machineOptional: verify the fit with your saved hardware

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Catalogue quality
9.3/10
Catalogue speed
6.5/10
Model size
1.8 GB
Voices
Style transfer

Can StyleTTS 2 run locally?

StyleTTS 2 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
controllablecloning

Audio profile

Cat. quality
9.3
Cat. speed
6.5
Audio
8.4

Best fit

StyleTTS 2 is best for local voice cloning and expressive speech generation.

Hardware: gpu

Model details

Type
Local TTS model
Family
styletts
Latency
medium
Formats
pytorch
Languages
en, zh, ja
Context
Style diffusion

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
  • controllable, cloning

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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