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.

Izena eman 5.000 karaktereko muga

Itzulbiratu zure testua SSML etiketetan kontrol zehatzagoa lortzeko:

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

Hautatutako modeloak ulertzen dituen etiketak — egin klik testuan jartzeko:

Eredu honek testu arrunta irakurtzen du, beraz, lerro-barneko etiketei ez zaie jaramonik egiten. Etiketetan oinarritutako emozioetarako, aldatu Orpheus edo Bark bezalako adierazpen-modelo batera.

Definitu ahoskera pertsonalizatuak (hitza = ahoskera):

-12 +12
0.5x 2.0x
Librea Piper, VITS, MeloTTS-ekin
Zure sortutako audioa hemen agertuko da. Aukeratu modelo bat, idatzi testua eta egin klik Sortu botoian.
Audioa behar bezala sortu da
0:00
Deskargatu audioa Deskargatu.srt Esteka 24 ordutan iraungiko da
Librea: erabiltzaile pribatuentzat. Lizentzia komertziala $5/mo-tik
Maite TTS.ai? Esan zure lagunei!

Honi buruz 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.

Honako hauentzako onena: Fast English generation on low-VRAM hardware, quick previews

Arakatu dena Kani TTS 2 ahotsak

Begirada batean

Garatzailea
NineNineSix
Lizentzia
Apache 2.0
Tier
free
Abiadura
fast
Ahots klonaketa
Ez
Hizkuntzak
English
Gehienezko karaktereak
1000

Kani TTS 2 ahotsak

Default

English
Lehenetsia Neutral

Kani TTS 2 TTS — Galdera ohikoenak

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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