A persona that survives contact with the second post
Making one striking image of a fictional person is easy. Making the hundredth, still recognisably the same person, in a different outfit, in a different place, is the entire problem — and it is where most AI personas fall apart.
Framiq treats the persona as an asset rather than a prompt. The face lives in a character with up to 30 reference photos; outfits are generated once and reused; images and video come out of the same studio, from the same identity.
Generate a first set of portraits, then promote the best of them into a character. From there the HQ regeneration tool can produce clean multi-angle views anchored to one validated reference, so the profile, three-quarter and full-body shots agree with each other rather than drifting.
Describe an outfit in words, generate your persona wearing it, approve the version you want, then render several angles of it. Those images become reusable references — the wardrobe stops being something you re-describe each time and becomes something you select.
The same character drives image models for feed posts and video models for reels. Seedance 2.5 holds the identity across a 30-second clip; Extra Long Video goes further for anything narrative.
Save the face as a character with many varied reference photos and select it on every render, rather than re-prompting a description. The model then works from images instead of adjectives, which is the difference between a recognisable person and a family resemblance.
Rules vary by platform and market and are tightening. Most major platforms now require synthetic media to be labelled, and undisclosed AI personas presenting as real people carry real legal and reputational risk. Check the policy where you post.
Not without their consent. Beyond the legal exposure, the model providers reject identity material of public figures outright, so those renders tend to fail anyway.