These models always create pixel art that looks like garbage because the people using it don't know enough about the medium to properly judge the output. This article is no exception. If you want pixel art for your project then learn or hire someone with that expertise
Nice article. There's another option for pixel art that's recently been coming into vogue as tool usage improves in LLMs which is procedural graphics.
I actually experimented with creating a set of skills around rendering early AGI style EGA graphical scenes, and it worked surprisingly well.
So rather than storing full bitmaps, you instead store sequences of simple drawing instructions designed to recreate some specific scene - like you would an SVG.
As a result you end up sidestepping a lot of the problems with larger generative models, which can have issues with grid alignment, palette choices, and high-frequency noise.
This is very cool! I will try your method for background and tile creation in the asset-generation tool I've built [1]. Would your procedural method work for animations as well, like sprites?
Thanks! Yeah, I started building it because I read an interview with the original creators of King’s Quest, Ken and Roberta Williams where they mentioned in passing that it was too expensive (in the 80s) from a storage perspective to store entire bitmaps for each scene, so instead they'd just store a series of very simple drawing instructions and render on demand.
I’m super excited to see more LLM-driven procedural graphics stuff in the future!
Related question: Whenever I try to run Image generation locally, be it with Flux or Qwen, I seem to be getting results that are about 1-2 years behind what ChatGPT can produce today - and take up to 5 minutes for a single image. Is this a hardware problem (running it on a decent windows gaming PC), a configuration problem or just the reality of what local models can deliver at the moment on consumer hardware?
You can get results a billion times better than the horrible, disgusting look of ChatGPT in less than a couple of seconds with a model like Krea or MOSS, and ComfyUI. With just a 8GB VRAM GPU or so...
Just visit Civitai, look at the pages for the base models, filter for images with the ComfyUI workflow in them, then you can just download and drag and drop them onto your local ComfyUI app.
Are control nets not being used much anymore? I haven't seen anything that provides a similar level of composition control, and yet I do not see them being referenced much at all.
I actually experimented with creating a set of skills around rendering early AGI style EGA graphical scenes, and it worked surprisingly well.
So rather than storing full bitmaps, you instead store sequences of simple drawing instructions designed to recreate some specific scene - like you would an SVG.
As a result you end up sidestepping a lot of the problems with larger generative models, which can have issues with grid alignment, palette choices, and high-frequency noise.
https://github.com/scpedicini/agi-stylist
https://kq-styles.specr.net
[1] https://github.com/acatovic/ai-game-studio
I’m super excited to see more LLM-driven procedural graphics stuff in the future!
Just visit Civitai, look at the pages for the base models, filter for images with the ComfyUI workflow in them, then you can just download and drag and drop them onto your local ComfyUI app.