>>23646
LCMs kinda suck ass, and they're more like spinoff models than actual training from scratch, which is why the common form for using it is lora (+ appropriate sampler)
It's a bit like the ZeroDiffusion project, taking 1.5 base weights and training it to implement new shit (here zsnr+vpred)
Talking about that guy, he's trying out this paper
https://arxiv.org/abs/2311.00938 which proposes an alternative loss objective that basically negates the over-exposure of vpred znsr models by somehow making CFG an hyperparameter, therefore locking it to an certain value that will have no overexposure. For now they seem to use it for video models since the exposure issues of zsnr are very much visible on these kind of models.
Paper made by an intern however so it's going to need some review, but big if true