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.

Prijavite se za ograničenje od 5.000 znakova

Omotajte tekst u SSML oznake za preciznu kontrolu:

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

Oznake koje odabrani model razumije — kliknite da biste ih ubacili u tekst gdje se pojavljuju:

Ovaj model čita običan tekst, tako da se inline oznake ignoriraju. Za emocije zasnovane na oznakama, prebacite se na ekspresivni model poput Orpheusa ili Bark-a.

Definirajte vlastite izgovore (riječ = izgovor):

-12 +12
0.5x 2.0x
Besplatno sa Piper, VITS, MeloTTS
Ovdje će se pojaviti vaš generirani audio. Izaberite model, unesite tekst i kliknite na Generiraj.
Audio uspješno generisan
0:00
Preuzmi audio Preuzmi.srt Link istječe za 24h
Free tier: personal use. Komercijalna licenca od $5/mjesečno
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O meni 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.

Najbolje za: Fast English generation on low-VRAM hardware, quick previews

Pregledaj sve Kani TTS 2 glasovi

Na prvi pogled

Programer
NineNineSix
Licenca
Apache 2.0
Životinje
free
Brzina
fast
Kloniranje glasa
Ne, ne, ne.
Jezici
English
Maksimalan broj znakova
1000

Kani TTS 2 glasovi

Default

English
Standardni Neutral

Kani TTS 2 FAQ

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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