Kani TTS 2

Kani TTS 2 TTS-värden

An ultra-lightweight 400M English model that runs in just 3GB of VRAM at a 0.2 real-time factor.

Registrera dig för 5 000 teckengräns

Radera din text i SSML-taggar för exakt kontroll:

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

Taggar den valda modellen förstår — klicka för att släppa en i din text där det händer:

Den här modellen läser vanlig text, så inline-taggar ignoreras. För taggbaserade känslor, byt till en uttrycksfull modell som Orpheus eller Bark.

Definiera egna uttal (ord = uttal):

-12 +12
0.5x 2.0x
Gratis med Piper, VITS, Melotts
Ditt genererade ljud visas här. Välj en modell, skriv in text och klicka på Generera.
Ljud genereras framgångsrikt
0:00
Ladda ner ljud Ladda ner.srt Länken går ut i 24 timmar
Fri nivå: personlig användning. Kommersiell licens från $5/mo
Berätta för dina vänner!

Om jag inte kan 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.

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

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Med en blick

Utvecklare
NineNineSix
Licens
Apache 2.0
Nivå
free
Varvtal
fast
Röstkloning
Ej tillämpligt
Språk
English
Max tecken
1000

Kani TTS 2 röster

Default

English
Standardvärde 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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