So this is a test its not amazing or overly good, the idea was just to see if I could take a bunch of SDXL renders, using wildcards for variation and then train flux on that to get something half decent.

I uploaded 3 different steps counts the higher you go the more consistent but the more burnt it the data becomes making it less flexible. Yes its not the best but I figured everyones still testing and playing these where only captioned "sucking a penis" with some images of penis's in the data set. feel free to change the captions, re-train whatever.

While not essential I would appreciate a shout out if you used my dataset to make something better xD. not sure if I will re-train this it was purely a hypothetical test. Ideally using a tool to remove facial likeness and getting an equal amount of faces would remove the same face syndrome but it also might just be my prompting anyway go nuts.