Local TTS model

Dots TTS MF

Catalogue summary: 2B fully continuous end-to-end autoregressive TTS system with zero-shot voice cloning. The MF checkpoint distills dots.tts-soar with MeanFlow for few-step, low-latency inference at 48 kHz, while keeping strong speaker similarity and natural prosody. Apache 2.0.

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

GPU recommendedtext-to-speech generation24 languagesApache 2.0
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Catalogue quality
9.4/10
Catalogue speed
8/10
Model size
4.2 GB
Voices
Zero-shot voice cloning from reference audio + transcript

Can Dots TTS MF run locally?

Dots TTS MF 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.

cloningmultilingualcontrollablerealtime

Audio profile

Cat. quality
9.4
Cat. speed
8
Audio
9.0

Best fit

Dots TTS MF is best for local voice cloning and expressive speech generation.

Hardware: gpuapple

Model details

Type
Local TTS model
Family
dots
Latency
low
Formats
pytorchsafetensorsmlx
Languages
en, zh, yue, ja, ko, fr, de, es, it, pt, nl, ru, uk, pl, cs, ro, el, fi, tr, ar, hi, vi, id, th
Context
2B AR flow-matching TTS, 48 kHz AudioVAE, MeanFlow distilled, recommended NFE=4

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
  • 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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