Prompt Engineering for Images: Structure Beats Adjectives

Front-load the subject and its action, then stack modifiers in a fixed order: subject, composition, lighting, style, and technical specs. "A red fox mid-leap, low-angle shot, backlit golden hour, painterly oil style, 85mm" beats a pile of loose adjectives because each clause controls one variable the model can weigh separately.

Be concrete instead of evaluative. Swap "beautiful" for "soft rim light and shallow depth of field," and "epic" for "wide shot, storm clouds, low horizon." Add negatives to remove what creeps in—extra fingers, text, harsh flash—and lock aspect ratio and seed when you need to iterate on one detail without redrawing the whole frame.

Treat prompting as a loop, not a lottery. Change one variable per generation so you know what moved the result, and keep a short library of clauses that reliably work. On B4AI you can run the same prompt across multiple image models side by side, which quickly shows which phrasings are model-specific and which are truly portable.