Kani TTS 2

Kani TTS 2 Mga TNT

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

Mag-sign up para sa 5,000 character na limitasyon

I-wrap ang iyong teksto sa SSML tags para sa tumpak na kontrol:

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

Tags ang napili modelo nauunawaan — i-click upang ihulog ang isa sa iyong teksto kung saan ito ay nangyayari:

Ang modelong ito ay nagbabasa ng karaniwang teksto, kaya inline tags ay hindi pinapansin. Para sa tag-based na damdamin, lumipat sa isang makahulugang modelo tulad ng Orpheus o Bark.

Tukuyin ang mga pasadyang mga panlapi (word = panlapi):

-12 +12
0.5x 2.0x
Libreng may Piper, VITS, MeloTTS
Ang iyong ginawang audio ay lilitaw dito. Pumili ng modelo, ipasok ang teksto, at i-click ang Bumuo.
Audio nabuo Matagumpay
0:00
I-download ang Audio I-download ang.srt Link expires sa 24h
Free tier: personal na paggamit. Komersyal na lisensya mula sa $5/buwan
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Tungkol sa 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.

Pinakamahusay para sa: Fast English generation on low-VRAM hardware, quick previews

Mag-browse ng lahat Kani TTS 2 Mga boses

Sa isang sulyap

Developer
NineNineSix
Lisensya
Apache 2.0
Mga hayop
free
Bilis
fast
Pag-clone ng boses
Hindi
Wika
English
Max character
1000

Kani TTS 2 Mga boses

Default

English
Pangkalahatang Neutral

Kani TTS 2 Mga katanungan at sagot

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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