Local TTS model

Audio8 TTS Preview 0.1B

Catalogue summary: Tiny multilingual text-to-speech model with zero-shot voice cloning. The 0.1B release uses a Falcon-H1 hybrid slow backbone, ships official Transformers-compatible safetensors plus a CPU-oriented ONNX INT8 package, and the ONNX runtime reports about 0.6 GB loaded memory with CLI, web, HTTP service, streaming PCM and local voice registration.

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

Edge readytext-to-speech generation11 languagesApache 2.0
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Catalogue quality
8.8/10
Catalogue speed
9.3/10
Model size
1 GB
Voices
Zero-shot voice cloning and reusable local voice profiles

Can Audio8 TTS Preview 0.1B run locally?

Audio8 TTS Preview 0.1B 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.

cloningstreamingmultilinguallow-latency

Audio profile

Cat. quality
8.8
Cat. speed
9.3
Audio
9.0

Best fit

Audio8 TTS Preview 0.1B is best for local voice cloning and expressive speech generation.

Hardware: cpugpuappleedge

Model details

Type
Local TTS model
Family
audio8
Latency
low
Formats
transformerssafetensorsonnx
Languages
yue, zh, nl, en, fr, de, it, ja, ko, pl, es
Context
About 170M main-model params plus bundled codec; official 0.1B ONNX INT8 CPU runtime

Install locally

01
Check runtimeConfirm the backend supports transformers, safetensors, onnx 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
  • Edge ready local workflows
  • cloning, streaming, multilingual

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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