If you have ever generated a picture of a person and then tried to generate the same person again five minutes later, you know the problem. The face shifts, the hair changes length, the jacket turns a different shade of blue. Nothing about the character survives the second click. Fixing that is less about finding a magic tool and more about how you set up the job before you type anything. Below is the routine I use whenever a project needs the same face in more than one scene.
Everything here works with a standard text to image workflow, so you can follow along with whatever model you already pay for.
Write the character down before you write the prompt
Most people treat the prompt as a scratchpad. They type a sentence, get something nice, then try to remember what they typed. That is where consistency dies. Before generating anything, open a notes file and describe your character in a fixed list: age range, face shape, eyebrow thickness, hair color with a specific name (not "brown" but "warm chestnut brown"), eye color, skin tone, one distinguishing feature, and the exact clothing items.
This list becomes your constitution. Every prompt you write for that character gets the same sentences, word for word. The temptation is to rephrase things to sound better, and every rephrase is a small drift. Keep it rigid. If the list says "short dark navy jacket with a stand collar," do not later write "navy collared jacket." Models read those as different garments.
Lock a seed, then stop rolling the dice
Nearly every generator exposes a seed number. Set it manually instead of leaving it random. The seed fixes the noise pattern that the model starts from, which means small changes in your prompt produce small changes in the output rather than an entirely new image. This is the single highest-leverage setting for character work and most people never touch it.
Once you have an image you like, note the seed in your notes file next to the description. Now when you change the background from a kitchen to a bus stop, the face stays put because the starting noise is identical. Expect to still get some variation in pose, but the identity holds far better than a random seed ever will.
Reference the first good result
If your tool supports image references or character reference inputs, use the first image that looks right as the anchor. That image now carries more information about the face than any sentence you could write. A reference does the heavy lifting on eye spacing, jaw line, and the subtle asymmetries that make a face read as a specific person rather than a generic one.
When you use a reference, cut your text description down. Keep the identity details light and spend the prompt on the new scene: what the character is doing, what the light looks like, where the camera sits. Over-describing the face while also passing a reference can push the model to split the difference between the two, which usually produces a slightly generic face that matches neither.
Change one variable per generation
This is boring advice and it is the one that saves the most time. If you change the location, the outfit, and the lighting at once and the face breaks, you have no idea which change caused it. Move one thing. Look at the result. Move the next thing. Three generations at one change each beats twenty generations of chaos, and you end up with a clean record of what the model tolerates.
Build a small expression and angle set
Faces break most often at the edges: extreme three-quarter turns, heavy shadows across one eye, big open-mouth expressions. Rather than discovering this mid-project, spend one session generating your character at a fixed set of angles and expressions: straight on, slight left turn, slight right turn, profile, neutral, smiling, and looking down. Save the ones that hold up. Now you have a mini library, and you know exactly which angles to avoid when a layout demands them.
This library also solves a practical problem. If a client asks for the character in a pose your model cannot handle, you can propose a different framing instead of delivering a broken face and hoping nobody notices.
Keep a contact sheet
Make a simple grid of every approved image with the seed and one-line prompt under each. When the project runs long, memory fails and you will start re-generating work you already did well. The sheet takes ten minutes to build and prevents that. It also makes it easy to notice drift early, because you can see the first image and the latest one side by side.
None of this requires a subscription upgrade or a special mode. It requires writing things down, freezing the seed, and resisting the urge to rewrite your character description every time you get bored of it. Set the job up properly on day one with your AI image tool and the rest of the series gets noticeably easier.