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.

Pierakstīties 5000 rakstzīmju limitam

Aplauzt savu tekstu SSML tagus precīzai kontrolei:

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

Tags izvēlētais modelis saprot — noklikšķiniet, lai iemestu vienu jūsu tekstā, kur tas notiek:

Šis modelis lasa vienkāršu tekstu, tāpēc tiek ignorēti inline tagi. Uz tag-based emocijas, pāriet uz izteiksmīgu modeli, piemēram, Orpheus vai Bark.

Definēt pielāgotu izrunas (vārds = izruna):

-12 +12
0.5x 2.0x
Bez piper, VITS, MeloTTS
Šeit parādīsies jūsu ģenerētais audio. Izvēlieties modeli, ievadiet tekstu un noklikšķiniet ģenerējiet.
Audio veiksmīgi ģenerēts
0:00
Lejupielādēt audio Lejupielādēt.srt Saite beidzas 24h
Bezmaksas līmenis: personīgai lietošanai. Komerclicenci no $5/mo
Mīlestība TTS.ai? Stāsti saviem draugiem!

Par 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.

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

Pārlūkot visu Kani TTS 2 balsis

Īsumā

Izstrādātājs
NineNineSix
Licence
Apache 2.0
Līmeņrādis
free
Ātrums
fast
Balss klonēšana
Valodas
English
Maks. rakstzīmes
1000

Kani TTS 2 balsis

Default

English
Standarta 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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