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.

Upišite se za 5000 ograničenja znakova

Umotaj svoj tekst u SSML oznake za preciznu kontrolu:

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

Oznake odabrani model razumije — kliknite da bacite jedan u vaš tekst gdje se to događa:

Ovaj model čita običan tekst, tako da inline oznake se zanemaruju. Za tag-based emocije, prebaci na ekspresivni model kao što su Orfeus ili Bark.

Definiši vlastite izgovore (riječ = izgovor):

-12 +12
0.5x 2.0x
Besplatno s Piper, VITS, Melotts
Ovdje će se pojaviti vaš generirani zvuk. Odaberite model, unesite tekst i kliknite Generirati.
Zvučni generisan uspješno
0:00
Preuzmi zvuk Preuzmite.rt Veza isteče za 24 sata
Besplatna uporaba: osobna upotreba. Komercijalna licenca od $5/mo
Reci svojim prijateljima!

O 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 jedan pogled

Programer
NineNineSix
Dozvola
Apache 2.0
Nivo
free
Brzina
fast
Kloniranje glasa
Ne.
Jezici
English
Maks. znakova
1000

Kani TTS 2 glasovi

Default

English
Standardno Neutral

Kani TTS 2 TTS – 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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