For serious projects, version control matters a lot.

I organize everything like software development:

/project
/characters
/scene_refs
/approved_clips
/final_exports

Also keep a text file with your best prompts. A surprising number of creators lose consistency simply because they forget the exact wording used in earlier successful scenes.

There’s also a rendering psychology issue happening here. Viewers forgive small identity drift if:

clothing stays consistent
voice stays consistent
color grading stays consistent
editing rhythm feels natural

Traditional filmmaking continuity tricks still matter.

I think some creators obsess over microscopic facial changes that normal audiences won’t even notice.

That said, ears and teeth are still good indicators for checking identity stability. AI models often alter those first.

One practical tip:

Generate “anchor stills” before generating motion clips.

I create 10 perfect still images of the main actor first, then use those repeatedly for scene conditioning.

This dramatically reduced identity drift in my tests.

People trying pure text-only workflows are usually the ones struggling most.

shot on 50mm lens, low contrast cinematic lighting, shoulder level camera

Consistency in cinematography indirectly improves character consistency too.

Veo responds extremely well to cinematography language. Treat it like directing a real film shoot instead of writing random prompts.

I now keep these fixed for every scene:

focal length
lens type
lighting setup
film stock style
camera height
actor description

I recently got access to Veo 3 and the cinematic realism is unbelievable compared to earlier AI video generators. Motion physics, lighting and camera behavior are far ahead.

But once I generate multiple scenes with the same actor, subtle changes appear over time. Sometimes the person looks younger, facial proportions shift slightly, or clothing texture changes.

What are advanced users doing right now to maintain continuity across full story sequences?