Character Consistency

Character consistency is keeping the same character — face, hair, outfit, proportions — recognizably identical across multiple generated images. It's one of the hardest problems in generative imagery, because each diffusion run samples fresh noise and naturally invents a new person. Solving it matters for anything narrative: comics, storyboards, children's books, brand mascots, or a game's cast, where a character who changes appearance shot to shot breaks the illusion. Builders use several techniques, often combined: training a LoRA on reference images of the character, passing a reference image (Midjourney's --cref, IP-Adapter), reusing a fixed seed, and describing the character with a detailed, repeated prompt fragment. Practical note: no single trick is perfect yet; a trained LoRA gives the strongest consistency but needs setup per character, while reference-image methods are instant but drift more. Design your product to let users lock a character once and reuse it, and set expectations that minor variation between frames is still the current state of the art.