4 ms·

Oh no, it doesn't run on Apple Silicon. That's too bad.

• _joel 2y ago
  > On my M2 MacBook Pro, on CPU, it takes about 1 hour, at a rate of about 60 characters per second. Umm, it does.
  • simongray 2y ago
    My bad. I misread the official website: > We don't currently support Apple Silicon, as there is not yet a Kokoro implementation in MLX. As soon as it will be available, we will support it. I thought that meant that it didn't support Apple Silicon in general, but they were just talking about GPU support.
    • fl0id 2y ago
      though they wouldn't need to use MLX, could also use pytorch etc
      • stoobs 2y ago
        I think there's an issue somewhere in Kokoro though which means it doesn't actually take advantage of MPS, I did get a modified version up and running, but it was no faster than CPU, even though it passed all the internal tests using mps. I might try using F5-TTS-MLX instead actually (https://github.com/lucasnewman/f5-tts-mlx https://github.com/lucasnewman/f5-tts-mlx) and see how that does.
• csantini 2y ago
  It works on Apple Silicon, but it doesn't use the GPU. Because Kokoro has not been implemented yet in MLX
  • simongray 2y ago
    Ah my bad! I just read the "We don't currently support Apple Silicon" on the official website, but I didn't realise that only pertains to GPU support.
• eamag 2y ago
  I wrote about a similar model for MLX that can run be on apple silicon https://eamag.me/2025/Voice-Cloning https://eamag.me/2025/Voice-Cloning
  • csantini 2y ago
    Hi eamag, this sounds great! I'm gonna try add it to Audiblez
• mhuffman 2y ago
  >Oh no, it doesn't run on Apple Silicon. That's too bad. Interesting, because the hero image is a Mac App screenshot.