Current image models produce brand-consistent illustration sets reliably when you fix a style recipe: same palette values, same rendering language, same lighting in every prompt, generated on clean backgrounds, cut out, and compressed through a real image pipeline before shipping.
The gap between AI images that look generated and assets that look designed is process, not model choice. Consistency comes from treating the prompt as a locked style recipe: exact hex values, one rendering vocabulary, one lighting setup, repeated verbatim across every asset in the set.
Generating on plain backgrounds and cutting out subjects keeps assets composable: the same illustration works on cards, heroes and dark sections, which is what makes a set feel like a system.
The pipeline that ships
Generate at quality, upscale the hero pieces, remove backgrounds, then compress and serve through modern formats with proper responsive sizing. The generation is the cheap step; the optimisation is what protects your Core Web Vitals.
And keep a human eye on every asset before it ships. Models still produce six-fingered logic in object form, and your brand wears whatever you publish.