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.

Cláraigh anois! le haghaidh teorainn 5,000 carachtar

Cuir do théacs i gclibeanna SSML le haghaidh rialú beacht:

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

Clibeanna a thuigeann an tsamhail roghnaithe — cliceáil chun ceann a scaoileadh isteach i do théacs nuair a tharlaíonn sé:

Léann an tsamhail seo gnáth- théacs, mar sin déantar neamhaird ar chlibeanna inlíne. Chun mothúchán clibbhunaithe a chruthú, athraigh go samhail léiritheach cosúil le Orpheus nó Bark.

Sainmhínigh fuaimniú saincheaptha (focal = fuaimniú):

-12 +12
0.5x 2.0x
Saor in Aisce le Piper, VITS, MeloTTS
Taispeánfar an fhuaim a ghintear anseo. Roghnaigh samhail, iontráil téacs, agus cliceáil Giniúint.
D' éirigh le giniúint na fuaime
0:00
Íosluchtaigh Fuaim Íoslódáil.srt Téann an nasc in éag i 24h
Ciseal saor in aisce: úsáid phearsanta. Ceadúnas Tráchtála ó $ 5 / mo
Leabaigh an Tweet Ag tabhairt freagra ar friends!

Eolas Faoi 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.

Is Fearr le haghaidh: Fast English generation on low-VRAM hardware, quick previews

Brabhsáil Uile Kani TTS 2 guthanna

Ag Sracfhéachaint

Forbróir
NineNineSix
Ceadúnas
Apache 2.0
Tír
free
Luas
fast
Clónáil gutha
& Ná Sábháil
Teangacha
English
Carachtair Uasta
1000

Kani TTS 2 guthanna

Default

English
Caighdeán Neutral

Kani TTS 2 TTS - Ceisteanna Coitianta

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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