Visual consistency in AI-generated stories

Generating a beautiful image with AI is no longer the hardest part.

The hard part starts when that image needs to belong to a story.

At Buklea, we work with personalized stories generated with AI, and one of the first lessons is this:

a story is not a collection of independent images.

It is a continuous world.

If the protagonist appears on several pages, they should still look like the same character.

If they are wearing a specific outfit, it should not change without a reason.

If a sword, a house or an object is important, it needs to preserve its visual identity.

The problem with generating each page in isolation

The problem is that, if each page is generated as an isolated request, the model interprets the scene again from scratch.

It remembers the idea, but not always the details.

That is when faces, hair, clothes, settings or objects start changing.

For a standalone image, it may look acceptable.

For a story, it breaks continuity.

The solution is not just writing longer prompts

You need shared visual memory:

• character sheets;
• setting references;
• important objects;
• defined outfits.

Then each page uses only the references it needs.

It does not remove the problem completely, but it greatly reduces the model's room for interpretation.

Before illustrating, you need to design the rules

Creating a consistent story with AI is not just about generating good images.

It is about planning, creating references and coordinating dependencies.

Before illustrating a world, you need to design the rules that hold it together.

Where have you seen the biggest consistency problems in generative AI products: characters, style, data, behavior or memory across steps?