Yeah true, I like dalle-mini :) It did seem to understand the prompts better. The training set also affects it, as the guidance signal competes with the diffus

Yeah true, I like dalle-mini :) It did seem to understand the prompts better. The training set also affects it, as the guidance signal competes with the diffusion-model's priors it learned from the training set (the cfg_scale) and I've found situations where it seems the priors are just encoded too strong it seems - for example with very well-known celebs or objects it's difficult to make variations. I guess it's interesting that these issues are kind of reflected in humans as well.