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.

Ṣẹ̀dà fun àwọn àmì-àṣírí 5,000

Fi àkọlé rẹ pamọ́ sí àwọn àmì-ìwé SSML fún ìdáràn:

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

Àwọn Àmì-ìwé tí àwọn ìṣàmúlò-ètò tí a yàn gbọ́ - tẹ̀ láti fi ọkan sínú àkọ́lé rẹ̀ nínú àwọn ààyè-iṣẹ́ tí o bá jẹ́:

Àwọn àwọn àkọlé àwọn ààyè-iṣẹ́ àwọn àwọn àmì-ìwé àwọn àmì-ìwé àwọn àwọn àmì-ìwé àwọn à

Àwọn àwọn ìṣàfarawé àwọn àwọn ìṣàfarawé àwọn (ọrọ = ìṣàfàlì):

-12 +12
0.5x 2.0x
Free pẹlu Piper, VITS, MeloTTS
Àwọn àwòrán tí o ti ṣẹ̀dà tí o bá han níbẹ̀. Yan àwọn àwòrán, tẹ̀lẹ̀ àkọlé, ki o si tẹ̀ Ṣẹ̀dà.
Àwọn àwọn àwòrán tí a ṣẹ̀dà
0:00
Ṣàfikún Àwọn Àmì-ìwé Ṣàfikún.srt Líǹkì náà kù nínú 24h
Ìjádé ọ̀fẹ́: ìlòjútó ara ẹni. Lisensi Iṣowo ori lati $5/mo
O fẹ́ TTS.ai? Fì sọ̀kalẹ̀ fún àwọn ọrẹ̀ rẹ̀!

Ààyè-iṣẹ́ 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.

Tí o dara jù fún: Fast English generation on low-VRAM hardware, quick previews

Wá Gbogbo àwòrán Kani TTS 2 Àwọn àwòrán

Nínú àwọn ìṣàfarawé

Àwọn Àkọlé
NineNineSix
Àwọn Ààyè-iṣẹ́
Apache 2.0
Àwọn àwọn ààyè-iṣẹ́
free
Ìjánu-ìṣàmúlò-ètò
fast
Ìṣàfarawé àwọn àmì-ìwé
Àwọn àwọn àgbéwọlé
Àwọn
English
Àwọn àyọkà ìpele
1000

Kani TTS 2 Àwọn àwòrán

Default

English
Àwọn ìpéwọ̀n Neutral

Kani TTS 2 Àwọn Àtòjọ-ẹ̀yàn

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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