How do you make a consistent character with AI?

Create an identity card first: face, hair, outfit, memorable marks, palette, and constraints. Repeat those traits in every prompt and separate them from scene variables. Generate one frame at a time and correct only one drift per iteration.

Why does AI change the character's face between images?

Usually the prompt describes the scene but does not lock identity. The model treats the face as editable material and adapts it to the new angle or style. Add a preserve block for face shape, hair, age, proportions, outfit, and memorable marks; vary only location, pose, or camera.

What is the best model for consistent character AI?

For images, start with GPT Image 2, Nano Banana Pro, or Seedream 5 because they follow structured identity briefs well. Midjourney 8.1 is strong for stylized sequences, but it needs a short repeated character description. For animation, use Kling 3.0, Runway Gen-4.5, or Luma Ray 3 with a preserve block.

Do I need one reference image for every frame?

One strong reference still is usually better than five weak ones. If the model supports multiple references, add 2-4 images only when they show different angles of the same exact character. Do not mix different character versions, or the model will average them and lose recognizability.

How do you keep the same character in AI video?

First generate a stable still image, then animate that exact frame. In the video prompt, set short duration, one camera move, and a preserve block for face, hands, outfit, background, and proportions. For people, explicitly preserve finger count and block new accessories.

Guide

Consistent character AI: a workflow that holds

Vlad Voronezhtsev · May 28, 2026 · 6 min read

Cover image for a consistent character AI workflow guide

Consistent character AI is not a single magic prompt; it is a repeatable identity workflow. To keep the same character across images or video, lock references, face traits, wardrobe, proportions, color palette, and drift constraints. GPT Image 2, Nano Banana Pro, Midjourney 8.1, and Kling 3.0 behave far better when those constants are explicit.

1.
Build an identity card first
Start with an identity card, not a render request: age range, face shape, hair, memorable marks, silhouette, wardrobe, palette, and lighting style. For consistent character AI this matters more than aesthetic adjectives. The model needs to know which details make the person the same character and which details can vary between scenes. GPT Image 2 and Nano Banana Pro respond well to a brief with separate `Identity`, `Wardrobe`, `Palette`, and `Do not change` lines. Midjourney 8.1 usually works better with a shorter description repeated in every shot.
Before
```
Make a noir detective woman in several scenes.
```
After
```
Identity: woman detective, 32, oval face, short black bob haircut, small scar through left eyebrow, calm focused expression. Wardrobe: dark green trench coat, white shirt, thin silver necklace. Palette: wet asphalt, lime reflection, low-key noir light. Do not change: face shape, scar, haircut, necklace.
```
2.
Separate constants from variables
Next, explicitly split what must repeat from what may change. Constants: face, hair, mole or scar, core outfit, body proportions, age, and the overall style. Variables: location, action, shot size, weather, expression, and props. If everything sits in one paragraph, the model cannot infer hierarchy and every frame starts redesigning the character. A useful prompt order is identity first, then scene, then camera, then constraints.
Before
```
Same character in a cafe, on the street, and in an office, beautiful and realistic.
```
After
```
Keep constant: face, black bob haircut, eyebrow scar, green trench coat, silver necklace, body proportions. Vary only: location, pose, camera distance, background action. Scene 1: quiet cafe window at night, medium shot, character reading a notebook.
```
3.
Pick the model for the series type
For a still-image sequence, start with GPT Image 2, Nano Banana Pro, or Seedream 5 because they read structured briefs and reference roles well. Flux Kontext is useful for precise edits to an existing frame where composition must stay locked. Midjourney 8.1 is strong on style, but it needs discipline: less JSON, more short repeated traits. For video and image-to-video, use Kling 3.0, Runway Gen-4.5, or Luma Ray 3 after you have a clean reference still. Asking for video before the portrait is stable makes the model repair identity mid-motion.
Before
```
Create the character and immediately make a 10-second trailer.
```
After
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Stage 1: generate 3 reference stills in GPT Image 2 or Nano Banana Pro. Stage 2: choose one approved still. Stage 3: animate only that still in Kling 3.0 or Runway Gen-4.5 with a preserve block.
```
4.
Fix drift with one precise instruction
The common mistake is rewriting the whole prompt after the first bad frame. That changes the problem and the successful details at the same time. The better method: identify one drift and issue one correction. In a real detective-character test, Nano Banana Pro's first render put the scar on the right eyebrow instead of the left; rerunning with `preserve the scar on the left eyebrow, do not mirror facial marks` fixed the side without changing the hair or trench coat. In Kling 3.0, animating the same still first produced six fingers; `preserve finger count, keep both hands anatomically correct` removed the artifact without changing the pose.
Before
```
Regenerate it, same character but better, no mistakes.
```
After
```
Change only: move the eyebrow scar back to the left eyebrow. Preserve: face shape, haircut, trench coat, necklace, pose, camera angle, lighting. Constraints: do not mirror facial marks, no new accessories.
```
5.
Review the sequence as a storyboard
Once you have 4-6 usable frames, place them together as a storyboard and compare them as a set, not one by one. Look for five mismatches: changed face shape, missing mark, age shift, unplanned outfit change, and hand or proportion errors. For a brand mascot or comic, add a final consistency prompt: `same character sheet, same identity, different scenes, no redesign`. For video, keep duration short and use one camera move. Fewer events give the model fewer chances to drift.
Before
```
Make four more scenes with this character.
```
After
```
Storyboard QA: compare face shape, eyebrow scar, haircut, necklace, coat color, hand anatomy, age. Generate next scene only after the current frame passes the identity checklist.
```