How to Keep Characters Consistent in Google Flow
Face, hair, and wardrobe drift are common in multi-shot AI projects. A stable identity description and an approved reference-image workflow can reduce variation substantially.
Create a locked identity description
Write a short block covering age, face, hair, clothing, accessories, and traits that must not change. Reuse it verbatim in every related prompt.
Prefer distinctive, visible characteristics over a long list of details that are difficult to reproduce.
Choose a strong reference image
Use a sharp image with neutral lighting that clearly shows the face and wardrobe. If the story needs multiple angles, approve a small reference set before video generation.
Do not change the reference, style, lighting, and environment at the same time; controlled changes make drift easier to diagnose.
Build shots in related groups
Generate adjacent scenes with the same core setup and change one variable at a time. Number every shot and store its prompt beside the output.
Test a small group, approve the strongest stills, and use only approved images as image-to-video sources.
Review continuity before video
Compare facial structure, hair color, wardrobe, body proportions, and props at full size. Small defects in a source image can become more obvious in motion.
If one shot drifts, regenerate it from the closest approved reference instead of changing the entire sequence.
Frequently asked questions
Can AI characters be perfectly identical?
No generative workflow guarantees perfect identity, but strong references and a locked description improve consistency.
Should I create images or videos first?
Approve stable character stills first, then use the best ones for image-to-video.
Should the identity description be repeated?
Yes. Keep the core identity block unchanged in every prompt for that character.
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