As someone who has experimented extensively with AI-generated images for children's books, I understand how frustrating it can be when your illustrations don’t align across multiple pages. The key problem lies in the fact that AI image models generate each image independently—they don't have memory of previous images or prompts, which means consistency is a challenge by default. One major misstep I noticed is trying to fix this by simply adding longer prompts filled with more adjectives. While it sounds logical, it usually backfires because the model interprets each adjective separately and can shift stylistic elements unexpectedly. Instead, a better approach is to write a fixed style block describing medium, palette, lighting, and elements to exclude, and not change it between images. This creates a stable framework the AI can follow. Another powerful tactic is what the author calls "freezing each character." Essentially, you create a detailed prompt around the character's appearance—about fifteen carefully chosen words—and reuse it exactly as is for every image. Introducing new words or changing even one can cause the AI to drift stylistically. The most critical step that many skip is to use a reference image. Unlike text, an image visually pins down how a character looks, which text alone cannot do. By selecting one approved image and generating all other scenes based on it, you achieve far greater consistency. From personal experience, combining these methods drastically improved the cohesion of my illustrations. It takes patience, but once established, the workflow feels seamless. For those self-publishing on platforms like Amazon KDP or exploring AI illustration for children's books, these tips can save time and boost the professional quality of your projects. If you want a comprehensive workflow, the author’s free 8-page guide titled "The AI Children's Book Blueprint" offers valuable step-by-step instructions and ready-to-use prompts.