Motion Complexity Causes More AI Video Drift Than Duration
cookie_crumble122 · reddit · 2026-08-10
A user testing long AI video shots across tools like MusVideo, Runway, and Kling discovered a counter-intuitive trend: motion complexity, rather than duration, is the primary trigger for character identity drift.
Stability rankings based on tests:
- Static subject + camera push: Very stable
- Walking + locked camera: Okay
- Walking + head turn: Some drift
- Walking + head turn + camera movement: Much worse
This suggests that the more dynamic elements the model has to keep consistent simultaneously, the worse the output gets. The author plans to test character movement vs. camera movement separately next.
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