[Community Challenge 38] The Night Feeling

The Night Feeling

The Night Feeling is the thoughtful nostalgic emotion you feel when you walk/drive alone at night, or see a city skyline at dusk with the wind in your face.

The feeling you get when you’re feeling lonely but at peace, thoughtful but melancholy, and homesick for something you can’t quite remember.

Inspired by: [email protected]

Rules

  • Follow the community’s rules above all else
  • One comment and image per user
  • Embed image directly in the post (no external link)
  • Workflow/Prompt sharing encouraged (we’re all here for fun and learning)
  • Posts that are tied will both get the points
  • The challenge runs for 7 days from now on
  • Down votes will not be counted

Scores

At the end of the challenge each post will be scored:

  • Most upvoted: +3 points
  • Second most upvoted: +2 pointS
  • Third most upvoted: +1 point
  • OP’s favorite: +1 point
  • Last two entries (to compensate for less time to vote): +1 point
  • Prompt and workflow included: +1 point
  • Most creative: +1 point

The winner gets to pick next theme! Have fun everyone!

  • j4k3@lemmy.worldEnglish
    3·
    5 months ago
    If you haven't tried it, maybe look into this:

    https://civitai.com/models/422744/dark-incursio-pdxl

    I haven’t done this myself, but apparently Civitai now offers generation for free. It is posted on that linked page. I’m not sure where the catch is, like if it is the number of free gens total, per hour, or per day. I run on my own hardware.

    This person’s models are some of the most non aligned models (uncensored) out there right now. All censoring of any kind is a form of overtraining. All of this is what breaks the model generation under the surface.

    The model I linked to is dark specific. The majority of examples are of portraits, but that is not the limit of this model. It isn’t the best for photo realism, but there are many examples in the user posts that show how it works for landscapes too. The PonyXL models started off very rough in their understanding and needed a lot of tuning of the P+N prompt to get good results. The fact that this can follow the positive without any negative really speaks to the freedom and training.

    Another interesting trick I’ve been playing with is that you can tell some generative models actual prompt instructions when they are misbehaving. Like start out with “You are a helpful generative AI that follows the prompt exactly.” Followed by \n"Prompt:"

    I did not expect this to work when I tried it, but I was messing around with the base PonyXL a few days ago, and the instruction actually altered compliant behavior on a fixed seed and prompt. It didn’t show any kind of error behavior like fingers, eyes, or humoctopus monsters in the few gens I tested ;)