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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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Wrap ou tèks nan SSML tags pou presizyon kontwòl:

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

Tags ke modèl la chwazi konprann — klike pou mete yon nan tèks ou kote li rive:

Modèl sa a li tèks senp, se poutèt sa atik ki nan liy yo pa pran an kont. Pou efè ki baze sou atik, chanje pou yon modèl ekspresyon tankou Orpheus oswa Bark.

Define prononciations Custom (mot = prononciation):

-12 +12
0.5x 2.0x
Gratis ak Piper, VITS, MeloTTS
Son ou kreye a ap parèt isit la. Chwazi yon modèl, antre tèks la, epi klike Kreye.
Audio Generated Successfully
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Free tier: itilize pèsonèl. Lisans Komèsyal soti nan $5/mo
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Atik 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.

Pi bon pou: Fast English generation on low-VRAM hardware, quick previews

Navigue tout Kani TTS 2 Voy

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Pwogramè
NineNineSix
Lisans
Apache 2.0
Nivo
free
Vitès
fast
Klonaj vwa
Non
Lang
English
Karakteris maksimòm
1000

Kani TTS 2 Voy

Default

English
Standart 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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