Same for stable diffusion (being the same tech). I trained models purely on model outputs and didn’t see any horrific handwavy things everyone’s talked about. Y

Same for stable diffusion (being the same tech). I trained models purely on model outputs and didn’t see any horrific handwavy things everyone’s talked about. You can’t get more of what’s already there, obviously. But as a way to bake some prompt / control pic in, it works great. I actually find/feel this easier to achieve the same result, because I can vary the output with dynamic prompting and seeds, models, etc, while keeping the desired concept intact, with a little picking. This helps to better distill it into a model. Natural imagery is usually too diverse and requires lots of effort to dissect into the parts you want.