Kani TTS 2

Kani TTS 2 TTS

An ultra-lightweight 400M English model that runs in just 3GB of VRAM at a 0.2 real-time factor.

Signa per 5000 caràcters límit

Ajusta el text a les etiquetes SSML per al control precís:

<speak><prosody rate="slow">Slow speech</prosody></speak>

Etiquetes del model seleccionat entenen el clic show clic per a deixar- ne un al text a on succeeix:

Aquest model llegeix text pla, així que les etiquetes inserides s' ignoren. Per a emocions basades en etiquetes, canvieu a un model expressiu com Orfeus o Bark.

Defineix pronúncies personalitzades (word = pronunciació):

-12 +12
0.5x 2.0x
Lliure amb Pipista, VITS, MeloTTS
Aquí apareixerà el vostre àudio generat. Escolliu un model, introduïu text i cliqueu Genera.
L' àudio s' ha generat correctament
0:00
Descarrega àudio Descarrega.srt L' enllaç expirarà el 24h
Correlitzador lliure: ús personal. Llicència de venda de 5/mo
Fes que això sigui la teva pròpia veu Clona una veu en 30 segons
Els teus amics!

Quant a Kani TTS 2

Kani-TTS-2 by NineNineSix is an ultra-lightweight 400M-parameter text-to-speech model built on a Liquid AI LFM2 backbone with NVIDIA's NanoCodec. It runs in just 3GB of VRAM and generates roughly ten seconds of speech in about two seconds on an A100 — a real-time factor near 0.2. The current public release ships an English-only checkpoint and, unlike its predecessor, does not expose the speaker-embedding hook needed for voice cloning. Its strength is fast, low-cost English generation on modest hardware, which makes it a good fit for quick previews and high-volume English narration. It is released under Apache 2.0 and offered on the free tier.

Millor per: Fast English generation on low-VRAM hardware, quick previews

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Desenvolupador
NineNineSix
Llicència
Apache 2.0
TierCity name (optional, probably does not need a translation)
free
Velocitat
fast
clonació de veu
No
Idiomes
English
Nombre màxim de caràcters
1000

Kani TTS 2 veus

Default

English
Estàndard Neutral

Kani TTS 2 PMF TTS

It runs in just 3GB of VRAM and produces about ten seconds of speech in roughly two seconds on an A100 — a real-time factor near 0.2 — thanks to its 400M-parameter LFM2 backbone and NanoCodec.

No. The current v2 release removed the public speaker-embedding hook, so cloning is not available. For cloning, use Chatterbox, IndexTTS-2, or GPT-SoVITS.

English only. The public release ships a single English checkpoint; for non-English speech, use a model like Kokoro or MeloTTS.
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