Prompt: Fairy Kei fashion, police, body armor, serious expression, full body shot, patrolling in a street, photography --ar 3:4

I was playing around with the Fairy Kei fashion style. I love all the pink and how well the style blends with the rest of the prompt.


Prompt: Fairy Kei fashion, astronaut, space suit, serious expression, full body shot, in front of a rocket, photography --ar 3:4


Prompt: Fairy Kei fashion, soldier, strong, body armor, serious expression, full body shot, patrolling in a street, photography --ar 3:4


Prompt: Fairy Kei fashion, firefighter, gas mask, helmet, soot, in front of a burning building, full body shot, photography --ar 3:4

Even the smoke is pink! :)

  • @talEnglish
    2•7 months ago

    it’s a little too small and too fake looking

    SD does the same, but even more extreme. Face looks like a doll. I’m pretty sure that its training set for “fairy kei” is too limited. When I do a batch of 20 renders of just the term “fairy kei”, they all converge on extremely-similar, 3d-render-looking images, which probably means that it’s short on training data; whatever it was trained on associated with “fairy kei” appears to have been only rendered images, rather than a human cosplaying in this Fairy Kei style.

    plays around for a bit

    Try putting the name of real people in for which photographic facial data will exist and have been seen. For me, that drags in the facial data.

    “Fairy Kei”

    versus “Fairy Kei, brad pitt”

    Reducing the weighting on ol’ Brad there, so he doesn’t overwhelm the image: “Fairy Kei, (brad pitt:.1)”

    Maybe a couple different names, each at weak weight, if you don’t want the output to look like any one real person. I don’t know whether Midjourney filters out images of celebrities from the training set – I remember reading something about how that was one issue that people were after to try to discourage deepfakes – so I dunno if celebs are the ideal people to use there.

    For SD, prompt weighting is done with parens, colon, and number, like (foobar:.5). It looks like with Midjourney, it’s double colons, like foobar::.5.

    • ThelsimOPMEnglish
      2•7 months ago

      Interesting to see it’s the same on other models, thank you for sharing!
      I prefer to avoid double colons in Midjourney, it always seems to make the scene look disjointed. Like two different people working on the same image. I’ve never managed to get really good results from using them, but maybe I’m doing it wrong?
      I think I’ve found a solution to reduce the fakeness level, what this need is a more realistic medium! I’ve added a camera style and switched to the “raw” style (without Midjourney’s special sauce). The uniforms become less outrageous, but the realism is turned up:

      Prompt:Fairy Kei fashion, police officer, serious expression, cinematic shot, patrolling in a street, photograph, Fujifilm Superia --ar 3:4 --style raw --s 150
      Of course you can increase the style, but then the faces become less real:

      Prompt: Fairy Kei fashion, police officer, serious expression, cinematic shot, patrolling in a street, photograph, Fujifilm Superia --ar 3:4 --style raw --s 600

      I guess you’ll have to find a balance between the two. Though the “raw” style and the camera type do make a difference even if you do still get that Instagram filter effect :)

      • @talEnglish
        2•7 months ago

        I prefer to avoid double colons in Midjourney, it always seems to make the scene look disjointed. Like two different people working on the same image. I’ve never managed to get really good results from using them, but maybe I’m doing it wrong?

        looks at Midjourney docs more-carefully

        Hmm.

        Yeah, it looks like using the double colons does alter the Midjourney prompt differently than the weight does SD; the weighting feature doesn’t appear to work the same way. It looks like on Midjourney weights also causes the prompt to be split into different portions.

        Aight, sorry; was just skimming the Midjourney syntax docs for the first time.

        • ThelsimOPMEnglish
          2•7 months ago

          That’s ok, I appreciate the effort you put into this. And we both learned something from it.