Local TTS model

Kova TTS 1

Catalogue summary: English audiobook-focused TTS model built on Llama 3.2 1B with local streaming generation and reference-audio voice cloning. The public Hugging Face release ships safetensors, codec/alignment assets and an official local runtime repository with CUDA, CPU and Apple Silicon MLX guidance; the model card clearly limits use to research and non-commercial work unless separately licensed.

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

Apple Silicon readytext-to-speech generation1 languagesKova Research and Non-Commercial Model License
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Catalogue quality
9/10
Catalogue speed
8.8/10
Model size
1.25B safetensors plus codec assets
Voices
Reference-audio cloning with matching transcript; optional separate LoRA voice adapters

Can Kova TTS 1 run locally?

Kova TTS 1 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.

Kova Research and Non-Commercial Model License license. Review upstream restrictions before commercial use.

cloningstreamingrealtimelow-latency

Audio profile

Cat. quality
9
Cat. speed
8.8
Audio
8.9

Best fit

Kova TTS 1 is best for local voice cloning and expressive speech generation.

Hardware: cpugpuapple

Model details

Type
Local TTS model
Family
kova
Latency
low
Formats
pytorchsafetensorsmlx
Languages
en
Context
Python 3.10+ runtime, local browser demo, CUDA recommended for interactive generation, CPU supported but slow, MLX path documented for Apple Silicon

Install locally

01
Check runtimeConfirm the backend supports pytorch, safetensors, mlx 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, realtime

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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