3 ms·
This is a very significant paper. The first diffusion paper required 1,000 steps to generate an image. By last November, they were down to 50 steps. This paper
by ttul 4y ago
This is a very significant paper. The first diffusion paper required 1,000 steps to generate an image. By last November, they were down to 50 steps. This paper takes us to one or two steps. What we're talking about here is nothing short of magic. You give random noise to a computer and it generates a realistic image of whatever you want in just one or two iterations.
Correct me if I'm wrong, but I didn't see anything about training time or cost. I would be interested to know whether it is more or less expensive to train this model than it is to train Stable Diffusion.
- Guillaume86 4y agoIt had already been done it seems: https://twitter.com/EMostaque/status/1598131202044866560 https://twitter.com/EMostaque/status/1598131202044866560. But nothing was published AFAIK so maybe it will finally get the ball moving for a publicly available distilled model.
- ttul 4y agoYes. I recall that someone in the FastAI course mentioned an amazing speed up but then I heard nothing further. I suppose maybe it wasn’t quite ready for prime time yet.