Face drift, likeness, and why AI output varies
Why two takes of the same photos can look different, and how to get a stable keeper.
Generate the same two photos twice and you will get two different videos. That is not a bug — it is how video diffusion works, and understanding it saves you credits.
Why faces drift
The model re-renders every frame from your reference photos rather than pasting your face onto a video. Fast motion and close-ups stretch it the most, which is why the spin and the shush sometimes wander.
How to get a stable take
Front-facing photos, even light, and one subject per image do most of the work. If a take drifts, regenerate the same setup — variance is random, and a second roll often lands.
What we promise — and don't
We promise the choreography, the scene, and the credit refund on failures. We do not promise exact likeness: output is an AI interpretation of your photo, not a copy. Use photos you have the right to use, and check the result before you share it.
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