GFX-201b · Module 2

Font Consistency Strategies

3 min read

Here is an uncomfortable truth about AI image generation: you cannot specify an exact font. You can describe a font style — "clean geometric sans-serif," "elegant serif with high contrast," "rounded humanist sans" — but you cannot write "Exo 2 Bold" and get Exo 2 Bold. The model will produce something that looks like a geometric sans-serif, but it will not be any real font. It will be an approximation synthesized from the model's training distribution. For brand work, this is a problem. Your brand font is specific. The AI's interpretation is approximate.

Do This

  • Describe your brand font's characteristics: "narrow geometric sans-serif with sharp terminals and even stroke width"
  • Use style references that prominently feature your font family or similar typefaces
  • Composite text in post-production for any asset where font accuracy matters
  • Create text-free base images and overlay brand typography as a separate layer

Avoid This

  • Name a specific font in your prompt and expect the model to render it
  • Accept AI-approximated fonts for final brand deliverables without verification
  • Assume a font that looked correct in one generation will look the same in the next
  • Skip the text overlay step because the AI version "looks close enough"

The brand system strategy for fonts is clear: design with AI, typeset with tools. Use AI generation to create the visual composition, backgrounds, imagery, and layout. Then add text using your actual brand fonts in Figma, Canva, Photoshop, or whatever tool your team uses. This two-step workflow takes an extra three minutes per asset and guarantees that every letterform is exactly your brand font at exactly the right weight, size, and spacing. Three minutes is the price of typographic integrity.