Local TTS model

KittenTTS 2

Q: Can KittenTTS 2 run locally?

KittenTTS 2 is listed by LocalClaw as a local TTS option. Hardware fit depends on runtime, model size and backend support.

Catalogue summary: 1.7B multilingual speech language model with in-context voice cloning, expression controls and built-in voices. The canonical Hugging Face release ships safetensors, GGUF assets for the official C++ CPU runtime, a Python `kittenml` loader and no-login local weights.

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

GPU recommendedtext-to-speech generation10 languagesStellon Labs Community License

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Start with the recommended app, or choose another supported option.

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Open model filesRecommended verified starting point Open in UnslothLaunches Unsloth Desktop on this model Open Python packageVerified package page without exposing a command Open on Hugging FaceFiles, licence and model card Check my machineOptional: verify the fit with your saved hardware

Desktop app links require the app to be installed. If nothing opens, LocalClaw will show app-download and model-file fallbacks.

Catalogue quality

9/10

Catalogue speed

8.4/10

Model size

1.7B params; 981 MB GGUF plus 510 MB default decoder

Voices

47 built-in voices plus 5-30 second reference-audio voice cloning

Can KittenTTS 2 run locally?

KittenTTS 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.

Stellon Labs Community License license. Review upstream restrictions before commercial use.

Upstream source

cloningmultilingualemotioncontrollable

Audio profile

Cat. quality

Cat. speed

8.4

Audio

8.8

Best fit

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

Hardware: cpugpu

Model details

Type

Local TTS model

Family

kitten

Latency

low

Formats

pytorchsafetensorsggufllama.cpp

Languages

en, ar, zh, fr, de, hi, it, pt, ru, es

Context

Python 3.10+ with PyTorch; official kitten-tts-2-cpp runtime uses GGUF, CPU LibTorch and cached model assets for native local synthesis

Install locally

Check runtimeConfirm the backend supports pytorch, safetensors, gguf, llama.cpp on your machine.

Open recommended setupUse the app and model links above. LocalClaw does not expose a terminal command.

Test locallyRun a short private audio prompt before moving into production workflows.

Good for

text-to-speech generation
GPU recommended local workflows
cloning, multilingual, emotion

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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