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.

Jijjiirama 5,000 character limit

Daangeessii kitaaba keessan keessaa tag SSML akka itti fayyadamtan:

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

Tag'oota mo'ellaa filatamee beekuu - cuqaasi akka tokkotti galchiin gara teekstaatti yoo ta'e:

Mo'ellaan kun kitaaba salphaa baraa, kan akka taggaa inniin linjii hin beekkamne. Akka taggaa-based emooshiniitti, mo'ellaa akka Orpheus ykn Bark.

Haalli fuula

-12 +12
0.5x 2.0x
Birrii fi Piper, VITS, MeloTTS
Oduu kee kan uumame yooka'u yooka'u. Suuraa moolaa, galchi kitaaba, fi bu'u Jijjiira.
Audion itti fufuu
0:00
Fuula Oduu Fuula Liqii dhumaa 24 sa'a keessatti
Tarree hin-ga'iin: fayyadama namaatiif. Liiziinii Kominikeeshinii irraa $5/mo
TTS.ai jaallatan? Sochii keessanitti hiika!

Fuulaa 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.

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

Fuulaa Kani TTS 2 Dhaamsa

Akkasumas

Deebi'aa
NineNineSix
Lizenz
Apache 2.0
Daandiin
free
Jijjiiramni
fast
Dhaabbilee
Haata'u
Afaan Oromoo
English
Akkasumas
1000

Kani TTS 2 Dhaamsa

Default

English
Standartaa 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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