Local TTS model

Audio8 TTS Preview 0.6B

Catalogue summary: Compact multilingual text-to-speech model with zero-shot voice cloning. The release ships a 601M parameter PyTorch checkpoint, bundled 44.1 kHz codec and an official ONNX INT4 package for CPU inference with streaming PCM, voice registration and about 1 GiB loaded memory on an Apple M2 test machine.

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

Apple Silicon readytext-to-speech generation11 languagesApache 2.0
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Catalogue quality
9.3/10
Catalogue speed
8.9/10
Model size
2.6 GB
Voices
Zero-shot voice cloning with reference audio and transcript

Can Audio8 TTS Preview 0.6B run locally?

Audio8 TTS Preview 0.6B 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
9.3
Cat. speed
8.9
Audio
9.2

Best fit

Audio8 TTS Preview 0.6B is best for local voice cloning and expressive speech generation.

Hardware: cpugpuapple

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
601M params plus bundled codec; PyTorch checkpoint and official ONNX INT4 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
  • Apple Silicon 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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