The Four-Stage Process
One nice image and a reusable person are different goals
Making a single good-looking AI person and making an AI person you can generate consistently later are different problems that get conflated. The first is a prompting and refinement problem; the second is an identity-locking problem layered on top. The process below separates them into four stages: define the concept, generate a base image, refine it toward realism, then lock identity if the goal is a reusable character rather than a one-off image.
Stage 1: Define the Concept
Specificity gives the model something to hold onto
A vague prompt like "realistic person" gives a model too much freedom, which shows up as inconsistency the moment you try to regenerate anything close to it. A useful concept brief specifies: approximate age range, build and height impression, distinguishing features (hair color and style, eye color, any notable features), and a general styling direction (casual, editorial, professional). None of this needs to be exhaustive; it needs to be specific enough that two separate generations from the same brief would plausibly describe the same person.
Stage 2: Generate a Base Image
Front-facing, neutral, even lighting
The first generation worth keeping should be a front-facing portrait, neutral expression, even lighting, plain or simple background. This is a deliberately unglamorous shot: its job is to be a clean reference, not a finished piece of content. Generate several variations from the same concept brief and pick the one that most closely matches the intended concept, since this image becomes the anchor for every later step.
Stage 3: Refine Toward Realism
Fix the specific things that read as synthetic
Once a base image is selected, the realism pass targets the specific features that make AI people read as fake: over-perfect skin, flat lighting, and eyes or hands that look slightly wrong. Requesting visible skin texture (pores, subtle unevenness), a specific directional light source rather than flat ambient light, and natural asymmetry closes most of this gap. See how to make AI-generated people look more realistic for the full breakdown of this stage, including why over-perfection rather than low quality is usually the actual cause.
Stage 4: Lock Identity for Reuse
Only needed if this person needs to exist again
If the goal is a single image, stop after stage 3. If the goal is a reusable AI person, one that can be photographed in new poses, outfits, and scenes while still being recognizably the same individual, the accepted base image needs to be locked as an identity reference, through a fixed seed, a trained LoRA, or an identity/reference adapter, before generating anything else with that person. See how to keep an AI character consistent across photos for the workflow that keeps that identity intact across a full batch of new content rather than just the next single shot.
Doing This on RYLA
The four stages collapse into one flow
RYLA's AI girl generator and AI influencer creation flow fold all four stages above into a single guided flow: describe the concept, generate and pick a base image, and identity locking happens automatically through a per-character identity adapter rather than as a separate manual step. The result is a character that can be regenerated in new poses, outfits, and scenes on demand, with the consistency work already handled.