When Your AI Character Keeps Changing Clothes Mid-Story

Ever tried making a storyboard or children's book with AI? You craft the perfect protagonist, baseball cap, red sneakers, that mischievous grin, and by the next panel, they've morphed. New hair color. Different jacket. Suddenly they're ten years older. The magic of generative AI evaporates, and you're left explaining to your client, or your six-year-old, why the hero has a new face on every page.

This is the consistency problem that breaks visual storytelling. And it's exactly what we set out to solve with Kemu's Story Builder.

Why Consistency Fails (And Why It's Not Your Prompt's Fault)

Standard AI tools have goldfish memories. Each image request starts from scratch, the model doesn't retain what your character looked like three generations ago. You can stuff your prompt with descriptive details, but you're essentially re-explaining the entire story to a very talented artist who's never heard of your project before.

The real fix isn't better prompts, it's a smarter system that carries what matters forward. That's where Kemu comes in. Think of it less as another chat interface and more as a behind-the-scenes producer, managing the handoffs between specialized AI agents so nothing gets lost in translation.

Inside the "Story Builder" Workflow

The Story Builder recipe runs like a miniature publishing house. Rather than firing everything at a single model and hoping for the best, we split the job into distinct roles that pass precise data, character embeddings, style parameters, seed values, between each other.

It begins simply enough: you upload a photo of a child with their favorite toy and type something like "Write a book about Haru and Kuma the bear." That's it.

From there, the workflow takes over. A Writer Block logic maps out the plot and breaks it into scenes. The Character Designer examines your reference photo, extracts the essential features, and builds a reusable digital avatar, Haru's face, his striped shirt, that particular cowlick stay locked in. Meanwhile, the Environment Illustrator crafts backgrounds independently, designing settings that match each scene's mood without interfering with the character design.

Here's where Kemu's visual graph becomes powerful: you can actually see the data flowing between these nodes. The character asset and background don't just meet by chance, they're composited with intentional logic that adjusts lighting and perspective so the final image holds together.

The workflow loops through each story page, dropping the consistent Haru avatar into each new environment, then layering in the text. What you get isn't a collection of similar images, but a cohesive visual narrative where your protagonist remains recognizably himself from beginning to end.

More Than Just Storybooks

The Story Builder demo scratches the surface. Kemu's real value lies in giving you infrastructure for AI workflows you can actually control, modify, and deploy anywhere.

Want to adjust how aggressively the style transfers? Tweak the node parameters. Need to switch from one image model to another mid-stream? Drag a new widget. The canvas lets you fine-tune conditional logic, experiment with different LLMs, and export the entire pipeline when it's ready for production.

Whether you're building a personalized comic generator, automating marketing visuals, or processing data through multiple AI stages, Kemu treats your process as a system to engineer, not a slot machine to pull.

See some examples

See how the same Haru appears in every scene? That's not luck, it's orchestration.

Curious what you could build with that level of control? Try Kemu and run your own workflows wherever you need them.