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.

Tia sahihi kwa kiwango cha tabia 5,000

Pakua maandishi yako katika tovuti ya SSML kwa ajili ya udhibiti sahihi:

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

Tag anaelewa mfano unaochaguliwa na unajibu ujumbe huu:

Mfano huu unasomeka maandishi rahisi, kwa hiyo alama za vidole hupuuzwa. Kwa hisia za ndani za watu, geukia kigezo kinachoonesha hisia kama Orfeus au Bark.

Matamshi ya desturi (neno = matamshi):

-12 +12
0.5x 2.0x
Nikiwa huru na Piper, VITS, MelloTTTS
Unaweza kuchagua mfano, maandishi, na kidofo kinachoitwa Genete.
Edio Iliyorekebishwa kwa Mafanikio
0:00
Paketi ya Audio Paketisha.srt Kiungo kinakufa mnamo 24
Safu huru: matumizi ya kibinafsi. Hati ya biashara kutoka dola 5/mo
Fanya hii sauti yako mwenyewe Chokoa sauti kwa sekunde 30
Waeleze rafiki zako kuhusu mapenzi ya TTS.ai?

Habari 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.

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

Ng'ombe wote Kani TTS 2 sauti

Kutupia jicho

Mbuni
NineNineSix
Lenzi
Apache 2.0
Tier
free
Mwendo
fast
Kufanyizwa kwa Sauti
Hapana
Lugha
English
Wahusika wa Max
1000

Kani TTS 2 sauti

Default

English
Kiwango Neutral

Kani TTS 2 TTS ngumuSTEGAQ

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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