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.

Langganan for 5,000 characters limit

Ngresiki teks ing tag SSML kanggo kontrol presisi:

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

Tag kang dipahami model kang dipilih - klik kanggo ngethok siji ing teks sampeyan ing ngendi iku kedadeyan:

Model iki maca teks biasa, mula tag ing baris diabaikan. Kanggo emosi berbasis tag, ganti menyang model ekspresif kaya Orpheus utawa Bark.

Nyathet tembung-tembung standar (kata = tembung):

-12 +12
0.5x 2.0x
Bebas karo Piper, VITS, MeloTTS
Audio sing digawé bakal katon ing kene. Pilih modél, ketik teks, lan pencet Ngembangaké.
Audio Digawé kanthi Sukses
0:00
Unduh Audio Download.srt Link expires in 24h
Ing basa Indonésia, iku tegesé: pribadi. Lisénsi komersial saka $5/mo
TTS.ai? Nyathet kanca-kancamu!

Ngendi 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.

Paling apik kanggo: Fast English generation on low-VRAM hardware, quick previews

Jajal kabeh Kani TTS 2 swara

Ing cetha

Pangembang
NineNineSix
Lisénsi
Apache 2.0
Tanggal
free
Kecepatan
fast
Kloning swara
Ora
Basa
English
Aksara paling akèh
1000

Kani TTS 2 swara

Default

English
Standar Neutral

Kani TTS 2 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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