This is the question that comes back more than any other. The character is perfect in the first image, and in the second it is already somebody else. Here is why, and exactly what to do about it.
You generate a character and it comes out exactly as you imagined. You generate a second image of her in another scene, and suddenly it is a completely different woman. Same description, same prompt, different face. This is the most common frustration there is, and it is also not a bug.
Imagine describing a person to an illustrator over the phone: "a woman of thirty, wavy brown hair, green eyes." How many million women fit that? The illustrator will draw one of them. Call again tomorrow and you get another. The model does exactly this, and adding more detail does not solve it, because a range always remains.
Which is why the solution is not a better prompt. People spend weeks on phrasing when the problem is that they are trying to describe a face instead of showing one. **Identity comes from a picture, not from text.**
One reference image helps. But one image shows the model the face from a single angle, and the moment a scene calls for a profile or a three-quarter view it has to invent what it never saw. And each time it invents slightly differently.
A character sheet fixes it. You generate the same character from several angles at once, front, profile, three-quarter, and use all of them as reference. Now the model has a three-dimensional structure of the face instead of a guess from one angle, and consistency jumps an entire level.
Worth knowing: Save the character sheet in a folder and give it a name. In a month, when you want another video with the same character, this is the difference between continuing and starting over. Creators working with a recurring character treat that file as an asset.
You uploaded a reference, then wrote in the prompt "a woman of thirty with wavy brown hair." You just undid part of the work. The model now has two sources describing the same face, the image and the words, and the words are open to interpretation. They pull the result back toward the average.
The rule is simple: if you uploaded an image, do not describe the appearance in words. Describe only what the image cannot say. What happens in the scene, where it happens, how the camera moves, what the light is. Leave the face to the picture.
Here you have to tag explicitly. If you upload two characters without telling the model which is which, it guesses, and when it guesses with two characters in frame it tends to merge them into a third person who never existed. Precise tagging, "image one is the woman, image two is the man," is worth more than any elegant phrasing.
Before generating a long, expensive shot, generate the same character in a short one at low resolution. If the identity holds for five seconds it will hold for ten. If it already breaks at five, a longer shot will only cost more and fail harder. This check saves more money than any other trick in this guide.
Consistency is not a model feature, it is a working habit. Whoever builds a character sheet once and stops describing faces in words solves this permanently. Whoever keeps rephrasing keeps getting different people.
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