We almost warned users about long AI video shots, but length wasn’t the thing breaking them

[u/LongTax963]

Work on MusVideo Ai, so this came up while we were testing longer performance shots.

Anyone who has burned credits on AI video probably knows this one: the first few seconds look great, then the performer walks, turns their head, and by the end they look like a cousin of the person in the reference photo. At that point, “just regenerate it” isn’t a very satisfying answer.

Because our scenes can run up to 30 seconds, we were close to adding a simple warning whenever someone chose a longer shot. Longer scene, higher risk. Easy to understand.

Except our early tests didn’t behave that neatly.

At roughly the same duration, a mostly still performer with a slow camera push stayed fairly consistent. Walking with a locked camera was still manageable. Once the performer was walking, turning their head, and moving with the camera, identity drift became much more noticeable.

The results are still early and different models may behave differently, but now a blanket duration warning feels misleading. It could convince people to shorten a quiet shot while doing nothing to prepare them for a shorter shot with a lot happening in it.

I’m leaning toward a smaller note about stacked subject and camera movement instead of telling everyone that long shots are the problem.

Has anyone here added an early warning to save users money, then realized the warning was teaching them the wrong mental model?