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Model guide · Image · Black Forest Labs
LoRA on the base model, or an in-context edit from a reference
The strongest route: train a LoRA from 12–20 approved frames and invoke it by trigger word in every prompt. For a lighter setup, an in-context editing model takes a reference image plus an instruction and keeps the subject across edits.
What it is good at
Where it stops
A LoRA is bound to the base model it was trained on. Change base model and you retrain, which is the real switching cost of this route.
Routes it can take you on
The syntax
This is Maya Rao from the cast, rendered into Flux's own syntax. Square brackets are the things only you have.
Photograph of a woman, late twenties, South Asian features, an oval face, dark brown almond eyes, thick straight brows, a straight nose, full lips, a single dark mole high on the right cheekbone, mid-back length wavy jet black hair with a centre part, golden skin, natural texture and visible pores, average height with an average build. Wearing plain unbranded basics, a warm neutral palette of sand, bone and camel, in a small modern city apartment, soft daylight from a large window, camera at eye level. Medium portrait, three-quarter angle, looking into the lens. Neutral expression, hands relaxed and out of frame negative: beauty filter, airbrushed skin, plastic skin, waxy skin, over-smoothed, perfectly symmetrical face, extra fingers, malformed hands, warped jewellery, text artifacts, watermark, logo on clothing, duplicate person, changing facial structure, retouched cheek, poreless skin seed: 1753468036 | guidance: 3.5 | steps: 28
Build your own in the studio and this same block comes back filled with your persona instead — same structure, your locked line, your seed.