Long Prompts Hurt Quality? Study Shows Text-to-Image Relies on Scene Structure
eyishazyer · x · 2026-08-05
A study finds that in text-to-image tasks, prompt structure matters more than length. Image generation models are constrained by how clearly a prompt exposes the scene rather than token count.
Experiments show that as natural language captions get longer, the output quality of open-weight models eventually degrades, performing worse than their shortest-caption results. Text conditioning scales effectively with image-grounded information, not word count.
Related event: Text-to-Image Quality Relies on Scene Structure Over Prompt Length(2 posts)→
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