Great to see Ming-3.0-tts-0.5B running locally on an RTX 3090! In @ItsmeAjayKV’s test, a 5-second sample of his own voice was enough for cloning—even with fan noise in the recording. 🫶 Thanks for sharing, AJ! We’d love to see what you build next.
Ming-3.0-tts-0.5B clones a voice from a 5-second sample on an RTX 3090
AIAnt Ling reports that Ming-3.0-tts-0.5B runs locally on an RTX 3090, and tester @ItsmeAjayKV says it cloned his voice from a 5-second sample recorded in fan noise. He says the model uses about 3.3 GB of VRAM, is under 3 GB on disk, and generates about 4 seconds of speech in 2–3 seconds.
@AntLingAGI
Tested voice cloning with Ming-3.0-tts-0.5B by @AntLingAGI and it is even more insane. For a model of this size, voice cloning happens really well, i tested my own voice, half drunk, in a room full of noise (fan noise mostly) and it instantly cloned it. It needed just a 5-second sample of my voice, and it speaks faster than real time: about 4 seconds of speech in 2–3 seconds. All running locally on my RTX 3090. Ming takes about 3.3 GB of VRAM, and the whole model is under 3 GB on disk. Great time for Local AI.
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Ant Ling · x.comPublished · added here
Original title: Great to see Ming-3.0-tts-0.5B running locally on an RTX 3090! In @ItsmeAjayKV’s test, a 5-second sample of his own voice was enough for ...