Generative AI can produce a beautiful character. It just can’t reliably produce the same one twice.

Every team shipping AI-generated visual content runs the same gauntlet: LoRA training, custom fine-tunes, manual QA against reference sheets, endless prompt engineering to keep a character on-model from one frame to the next. And inevitably — drift. By the third image, the character looks like someone else.

That’s not a creative problem. It’s an infrastructure problem. And right now every team solves it from scratch.

We think character consistency should work the way Stripe works for payments — a primitive you call, not a system you build. Register a character once. Lock its identity. Call it from any model, any endpoint, any pipeline, and get the same face, outfit, and identity back every time.

SteadyShot is that layer. Reference chaining instead of fine-tuning. Consistency scoring with automatic retries. One registry that behaves identically whether you hit it from REST, Claude Desktop, a Figma plugin, or a Discord bot.

Developers and content teams shipping AI-generated visuals at scale — animation studios, kids’ content producers, comic and storybook publishers, brand teams managing mascots, and anyone wiring generative image APIs into pipelines that can’t tolerate inconsistency.

If you’re generating more than a handful of images per character and identity has to stay locked across them, SteadyShot is built for you.