How AI Image Generators Interpret Prompts

This lesson explains how modern text-to-image systems turn written prompts into visual outputs. Learners will see why prompts are interpreted as weighted signals rather than literal instructions, and why the same phrase can produce different results across Midjourney, DALL-E, and Stable Diffusion.

The lesson focuses on practical prompt interpretation: subject, context, attributes, style, composition, medium, lighting, and constraints. By the end, learners will understand how to write prompts that give the model clear visual priorities while avoiding vague, contradictory, or overloaded wording.