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.

ምዝገባ 5,000 ካራቴግራም

SSML tags ሒዝካ ጽሑፍካ ሒዝካ ንምውሳድ:

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

ርኢቶታት እቲ ዝተመርጸ ሞዴል ዝፈልጦ — ጠቅልል ንኸውዕሎ ኣብ ጽሑፍካ ኣብ ዝግበር ቦታ:

እዚ ሞዴል'ዚ ጽሑፍ ቀሊል ይንብብ፣ ከምኡ'ውን ኣብ መስመር ዝርከብ ቴግታት ይቕረ ይበሃል። ን tag-based emotion፣ ናብ ሞዴል ስነ-ኣእምሮኣዊ ከም Orpheus ወይ Bark ምቕያር

ድምጺ ተለፎን (ቓል = ድምጺ)

-12 +12
0.5x 2.0x
ነጻ ምስ Piper, VITS, MeloTTS
እቲ ዝተፈጠረ ድምጺ እዚኣ ይርከብ። ሓደ ሞዴል ምረጽ፣ ጽሑፍ ኣትሒዝካ፣ ንተፈጥሮ ጠቅልል።
ድምጺ ተኸፊሉ
0:00
ድምጺ መዝጊብ .srt መዝገብ 24 ሰዓታት
ነጻ ደረጃ: ንባዕልኻ ንምጥቃም. ውልቀ-መዚ ውልቀ-መዚ ካብ $5/month
TTS.ai ትወዳደሮ? ንፍቓድካ ንገረኒ!

ብዛዕባ 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.

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

ርአ Kani TTS 2 ቃላት

ኣብ ሓደ ገጽ

መተግበሪያ
NineNineSix
ውልቀ-መዚ
Apache 2.0
ቍጽሪ
free
ፍጥነት
fast
ድምጺ
ኣይ
ቋንቋ
English
ቍጽሪ ኣርእስቲ
1000

Kani TTS 2 ቃላት

Default

English
ቍጽሪ Neutral

Kani TTS 2 ሕቶታት ዝንበረሉ

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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