Why text breaks
Most diffusion models learn text as pixels, not as characters. So you get near-misses: warped glyphs, incorrect spelling, or inconsistent kerning.
When it works
- Short words
- High contrast
- Simple fonts
A production workflow that always works
- Generate the background and composition first.
- Bring it into a canvas editor.
- Add real text layers (editable, crisp, accessible).
FAQ
Q: Are there models that do text better?
A: Some are better, but none are 100% reliable for production typography.
Q: Any prompt tricks?
A: Try “clean headline area”, “legible text”, “poster layout”, but treat it as a layout hint, not final type.
Q: What about logos?
A: Same rule: generate the vibe, then apply the real logo as an asset.