We saw this happen with Stable Diffusion and it's not surprising we see this happening here. There is a lot of interest in taking these models that are in striking distance (single order of magnitude) from running inference and training on consumer level hardware and as such a lot of energy is going into making the optimizations that can get us there.

Generally speaking, research is not usually done with consumer usage in mind, so what this is, and Dreambooth etc. for Stable Diffusion was, is that gap between researcher software and accessible software being bridged.