You've been there. You write a prompt for a woman with silver hair and a green jacket, get a great result, then run the same prompt again and suddenly she's a completely different person wearing something else entirely. If you're trying to build a comic strip, a product mockup series, or just a set of images that belong together, this gets old fast.
The good news is that character consistency isn't magic. It's mostly about giving the model less room to improvise. Here's what actually works, based on a lot of trial and error with the AI image generator here on the site.
Stop describing the scene, start describing the person
Most people bury the character in a pile of setting details. "A woman in a green jacket standing in a rainy Tokyo alley at night, cinematic lighting" sounds vivid, but the model treats every word as equally important. When it has to balance a person, a place, and a mood, it cuts corners on the face.
Flip the order. Lead with hard facts about the character and keep them in the exact same wording every time:
"woman, 30s, silver bob haircut, freckles, piercing green eyes, wearing a dark green bomber jacket, neutral expression"
Then add the scene as a second sentence. The model weights early tokens more heavily, so your character traits get locked in first.
Keep a written recipe, not a vibe
Save your character description in a text file. Don't rewrite it from memory each time. Even small changes break consistency — "green eyes" and "emerald eyes" pull the model in slightly different directions. Copy and paste the description verbatim, then only swap out the action or location.
Use the same seed when you can
Most generators assign a random seed to each image. If your tool lets you set one, do it. The same seed plus the same prompt gets you the same image. Same seed plus a slightly edited prompt gets you a recognizable variation rather than a stranger.
Reference images beat words
This is the biggest upgrade most people skip. Instead of trying to describe a face, feed the model an image of it and ask for a new pose or scene. Models that support image input understand a face far better than any paragraph of text. If you have one good shot of your character, use it as the anchor for everything else.
Accept that some drift is normal
You won't get pixel-identical faces across a hundred images, and you shouldn't expect to. Aim for "same person, different day" rather than a photocopy. Hair length, eye color, and clothing color should stay put. Exact eyebrow shape can float a little without anyone noticing.
Batch your generations
When you need six images of the same character, generate all six in one session with the same settings. Changing the model, the resolution, or the style preset mid-project is the fastest way to end up with a cast that looks like it came from six different movies.
A quick workflow to steal
Write your character recipe once. Set a seed. Generate a plain headshot first and check that you actually like the face. Then lock everything and only edit the scene description per image. If a generation goes off the rails, don't tweak five things at once — change one variable and regenerate.
Once you get this rhythm down, consistent characters stop feeling like luck. You can head over to the AI image generator and test the recipe approach on your own project — start with three images of the same character and see how close you get.