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.

Kugadzwa for 5,000 character limit

Wrap yako tenzi mu SSML tags kuti zvive nyore kudzora:

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

Tags iyo yakasarudzwa model inonzwisiswa — tinya kuti utore imwe muchinyorwa chako apo inoitika:

Iyi modhi inoverenga chete mazita ezvinyorwa, saka zvinyorwa zvinonyorwa mumitsara hazvina kutariswa. Kuti uwane pfungwa dziri mumitsara, chinja kune imwe modhi inoratidza pfungwa seOrpheus kana Bark.

Define custom pronunciations (word = pronunciation):

-12 +12
0.5x 2.0x
Free with Piper, VITS, MeloTTS
Yako yakagadzirwa audio ichaonekwa pano. Choose a model, enter text, and click Generate.
Audio Yakagadzirwa Nekubudirira
0:00
Download Audio Dhawunirodha.srt Link inotanga kushanda mu 24h
Free tier: personal usage. Commercial license from $5/mo
Love TTS.ai? Tiudza shamwari dzako!

Chii 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.

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

Tarisa zvese Kani TTS 2 mazwi

Mufananidzo

Developer
NineNineSix
License
Apache 2.0
Tier
free
Speed
fast
Kutaura
Hapana
Zvinhu
English
Max characters
1000

Kani TTS 2 mazwi

Default

English
Chimiro Neutral

Kani TTS 2 TTS — Zvinyorwa

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.
← All voices