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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.

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Ukufaka umbhalo wakho kumathegi we-SSML ukulawula okucacile:

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

Amathegi amamodeli akhethiwe aqonda - chofoza ukuwasusa kusihloko sakho lapho kwenzeka khona:

Le modeli ifunda umbhalo ojwayelekile, ngakho amathegi e-inline akhohlwa. Ukwenza umbono osekelwe kumathegi, shintsha kwimodeli ebonisa umbono njenge-Orpheus noma i-Bark.

Chaza ukuchaza okujwayelekile (igama = ukuchaza):

-12 +12
0.5x 2.0x
Imahhala ne-Piper, VITS, MeloTTS
Umsindo wakho okhiqizwe uzovela lapha. Khetha imodeli, ngenisa umbhalo, bese uchofoza Ukukhiqiza.
Umsindo wakhiwa ngokuphumelelayo
0:00
Layisha phezulu umsindo Layisha phezulu.srt Isixhumanisi siphele ngehora le-24
Isikhashana esimahhala: ukusetshenziswa komuntu siqu. Ilayisense yebhizinisi kusuka ku-$5/mo
Yenza lokhu kube umsindo wakho Uhlu lwezinhlamvu
Uthanda i-TTS.ai? Ncoma abangane bakho!

Ngo 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.

Okungcono kakhulu: Fast English generation on low-VRAM hardware, quick previews

Khangela konke Kani TTS 2 izizwi

Ngombono ocacile

Umthuthukisi
NineNineSix
Ilayisense
Apache 2.0
I-Tiger
free
Isivinini
fast
Ukuklona umsindo
Akukho
Izilimi
English
Amaphawu aphezulu
1000

Kani TTS 2 izizwi

Default

English
Iphutha Neutral

Kani TTS 2 Imibuzo ebuzwa kaningi

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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