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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 test tiegħek fil-tags SSML għall-kontroll preċiż:

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

Tags li l-mudell magħżul jifhem — ikklikkja biex tqiegħed waħda fit-test tiegħek fejn jiġri:

Dan il-mudell jaqra test sempliċi, għalhekk it-tags inline huma injorati.Għal emozzjoni bbażata fuq it-tag, aqleb għal mudell espressiv bħal Orpheus jew Bark.

Iddefinixxi pronunzji tad-dwana (kelma = pronunzja):

-12 +12
0.5x 2.0x
Ħieles ma Piper, VITS, MeloTTS
L-awdjo iġġenerat tiegħek se jidher hawnhekk. Agħżel mudell, daħħal it-test, u kklikkja Iġġenera.
Awdjo Iġġenerat b'suċċess
0:00
Niżżel l-awdjo Niżżel.srt Il-link tiskadi f'24 siegħa
Livell Ħieles: użu personali. Liċenzja Kummerċjali minn $5/mo
Agħmel dan il-vuċi tiegħek stess Klona vuċi f'30 sekonda
Imħabba TTS.ai? Għid lill-ħbieb tiegħek!

Dwar 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.

L-aħjar għal: Fast English generation on low-VRAM hardware, quick previews

Ibbrawżja kollox Kani TTS 2 vuċijiet

Daqqa t'għajn

Żviluppatur
NineNineSix
Liċenzja
Apache 2.0
Annimali
free
Veloċità
fast
Klonazzjoni tal-vuċi
Nru
Lingwi
English
Karattri massimi
1000

Kani TTS 2 vuċijiet

Default

English
Standard Neutral

Kani TTS 2 TTS — Mistoqsijiet Frekwenti

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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