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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Avvolgi il tuo testo nei tag SSML per un controllo preciso:

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

Tags il modello selezionato comprende clic su

Questo modello legge testo semplice, quindi i tag inline vengono ignorati. Per le emozioni basate sui tag, passare a un modello espressivo come Orpheus o Bark.

Definire le pronunciazioni personalizzate (parola = pronuncia):

-12 +12
0.5x 2.0x
Gratis con Piper, VITS, MeloTTS
L'audio generato apparirà qui. Scegli un modello, inserisci testo e fai clic su Genera.
Audio generato con successo
0:00
Scarica audio Scarica.srt Link scade in 24 ore
Livello libero: uso personale. Licenza commerciale da $5/mo
Fai di questo la tua voce Clona una voce in 30 secondi
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Informazioni 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.

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

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A colpo d'occhio

Sviluppatore
NineNineSix
Licenza
Apache 2.0
Livello
free
Velocità
fast
Clonazione vocale
No.
Lingue
English
Caratteri massimi
1000

Kani TTS 2 voci

Default

English
Standard Neutral

Kani TTS 2 FAQ del TTS

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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