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.

Anmelden Limit fir 5. 000 Zeichen

Wrap your text in SSML tags for precise control:

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

Tags déi d'gewielt Modell verstinn - klickt fir eng an Ärem Text ze setzen wou se geschitt:

Dëse Modell liest einfache Text, sou datt Inline-Tags ignoréiert ginn. Fir Tag-baséiert Emotiounen, wielt e expressiven Modell wéi Orpheus oder Bark.

Eegen Aussproochen definéieren (Wuert = Aussprooch):

-12 +12
0.5x 2.0x
Free mat Piper, VITS, MeloTTS
Äert generéiert Audio wäert hei erscheinen. Wielt e Modell, gitt Text an a klickt op Generéieren.
Audio gouf erfollegräich generéiert
0:00
Audio erofgelueden Lëscht vu lëtzebuergesche Schrëftsteller Link expires in 24h
Den Haaptuert ass Personnes. Kommerziell Lizenz vun $5/mo
Maacht dat Är eege Stëmm Klonen eng Stëmm an 30 Sekonnen
Liewe TTS.ai? Erzielt Är Frënn!

Iwwer 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.

Bescht fir: Fast English generation on low-VRAM hardware, quick previews

All sichen Kani TTS 2 Stimmen

Op ee Bléck

Entwéckler
NineNineSix
Lizenz
Apache 2.0
Tier
free
Geschwindegkeet
fast
Sprooche-Klonen
Nee
Sproochen
English
Maximal Zeichen
1000

Kani TTS 2 Stimmen

Default

English
Standard Neutral

Kani TTS 2 Lëscht vun de 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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