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The quality of text-to-image generation is continuously improving, yet theboundaries of its applicability are still unclear. In particular, refinement ofthe text input with the objective of achieving better results - commonly calledprompt engineering - so far seems to have not been geared towards work withpre-existing texts. We investigate whether text-to-image generation and promptengineering could be used to generate basic illustrations of popularfairytales. Using Midjourney v4, we engage in action research with a dual aim:to attempt to generate 5 believable illustrations for each of 5 popularfairytales, and to define a prompt engineering process that starts from apre-existing text and arrives at an illustration of it. We arrive at atentative 4-stage process: i) initial prompt, ii) composition adjustment, iii)style refinement, and iv) variation selection. We also discuss three reasonswhy the generation model struggles with certain illustrations: difficultieswith counts, bias from stereotypical configurations and inability to depictoverly fantastic situations. Our findings are not limited to the specificgeneration model and are intended to be generalisable to future ones.

Grimm in Wonderland: Prompt Engineering with Midjourney to Illustrate Fairytales