Models hate negative prompts. There's a reason Stable Diffusion txt2img requires a dedicated "negative" CLIP input in addition to positive.
FLUX, for all its benefits, is really annoying in this aspect as you cannot really provide negative guidance without complicated hacks [1]. Therefore, "orignal" ideas that go against popular wisdom or mainstream culture will be very hard to prompt for. This is, in my opinion, an important caveat of ML "art". ML "art" is already considered useless slop because of how much it conforms to biases built in the weights. The inability to tune down adherence to mainstreaming norms is therefore all the more problematic.
FLUX, for all its benefits, is really annoying in this aspect as you cannot really provide negative guidance without complicated hacks [1]. Therefore, "orignal" ideas that go against popular wisdom or mainstream culture will be very hard to prompt for. This is, in my opinion, an important caveat of ML "art". ML "art" is already considered useless slop because of how much it conforms to biases built in the weights. The inability to tune down adherence to mainstreaming norms is therefore all the more problematic.
[1] https://www.reddit.com/r/StableDiffusion/comments/1estj69/