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dayu2333-jinyul

Posted on • Originally published at aielogo.com

I Built an AI Logo Generator — Here is What Actually Works vs What Does not

I built AI Logo Generator because I wanted something that produced logos people would actually use, not just marvel at for 30 seconds and discard.

What works: style-constrained generation

The biggest problem with AI logo generators is they give you an image, not a logo. A logo needs to work at 32×32 (favicon), 200×200 (social avatar), and on a white background (print).

My approach:

  • Built on a Stable Diffusion pipeline with post-processing
  • Color palette extraction + simplification (max 3 colors)
  • Background removal as a required step
  • SVG conversion via potrace for the best outputs

The constraint most people miss: a good logo is a good silhouette first.

What sort of works: style selection

Giving users 8-10 style presets (minimalist, geometric, mascot, lettermark) dramatically improves output quality vs free-form prompting.

What does not work: one-shot generation

Almost zero AI logos come out perfect on the first generation. Useful ones come from iteration — generate 4 variations, pick the best, tweak colors, regenerate.

What I would tell someone building this

Focus on post-generation editing, not the image model. Everyone has access to the same AI models. The differentiation is how easy you make it to go from "cool AI image" to "actual usable logo."

aielogo.com — free, no signup needed for first 5 logos

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