Get consistent characters and style in AI image generation
The techniques that keep a subject recognisable across a set, rather than producing twelve different people.
Before you start
- An image generator you already know the basics of
- A clear idea of the subject you want to keep consistent
What you will be able to do
- Keep one character recognisable across a whole set
- Lock a visual style so a series holds together
- Know when consistency needs training rather than prompting
Everyone hits this in the same order: the first image is delightful, the second is delightful and completely different, and the set is unusable.
Consistency is a separate skill from generation, and mostly a matter of giving the model something fixed to hold on to.
Write the subject description once and never paraphrase it
Every synonym you swap in is a different face.
Write one exact description of your subject — build, age, hair, clothing, distinguishing features — and paste that identical block into every prompt. Not a paraphrase. The same words.
Small wording changes move the result more than people expect, and "auburn hair" and "reddish-brown hair" genuinely produce different people.
- Keep the block in a note file and paste it. Retyping it from memory is how it drifts.
Use a seed to hold everything else still
A fixed seed makes a prompt change the only variable.
Most generators let you fix the random seed. With it fixed, changing one word shows you what that word does; without it, every generation differs for reasons you cannot attribute.
For a set, fix the seed and vary only the scene description. You will still get variation — but variation around a stable centre.
Feed a reference image back in
Image-to-image and reference features do far more than prompt wording.
Once you have one image of the subject you are happy with, use it as a reference for the rest. Midjourney has character reference, most Stable Diffusion interfaces have IP-Adapter or ControlNet, and several hosted tools have a "use this as reference" control.
This is the step that takes consistency from "roughly similar" to "obviously the same person", and no amount of prompt wording substitutes for it.
- Using a reference image whose lighting is unusual — the reference carries lighting as well as identity.
Separate the style prompt from the scene prompt
Keep a style block that never changes and a scene block that always does.
Structure every prompt as two blocks: an unchanging style block (medium, lighting, palette, lens, mood) and a changing scene block. Mixing them is how the style drifts halfway through a set.
[STYLE — never changes]
soft editorial photography, 50mm, natural window light,
muted palette, shallow depth of field
[SUBJECT — never changes]
{your exact subject block}
[SCENE — the only part you edit]
seated at a kitchen table, morning, readingNote Know when to stop prompting and start training
Past a certain consistency requirement, prompting cannot get you there.
If you need genuine consistency across hundreds of images — a comic, a brand character, a product line — prompting will not get you there and you want a trained LoRA or a fine-tune on 15–30 images of the subject.
That is a bigger commitment, and it is the correct one at that scale. Recognising the boundary saves a lot of frustrated prompting.
Common questions
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