> The results are absolutely atrocious in the beginning and it takes many many runs short and long, with seeds guiding the model to get closer and closer to wha

> The results are absolutely atrocious in the beginning and it takes many many runs short and long, with seeds guiding the model to get closer and closer to what I ask. It took a long time to get one instance of SD to make the invention look plausible, and then trying on a new model copy/instance takes the results back to crap. This is simply not how any of this works and is only your imagination. Stable Diffusion is deterministic and has no instance memory. The seeds are random and length of session or starting a new instance has no effect on the randomness of seeds. Every seed is as random as the last, regardless of how long an instance has been running.