AI trend face drift means the generated person appears to change identity during the clip. Before retrying, identify where the mismatch begins and whether it persists. A blurred turn, an obscured face and a different-looking person after a cut are separate problems and may call for different decisions.
Start with the downloaded original from a template such as Street Rap Montage or Raindance. Keep the uploaded photo available for comparison. Do not diagnose from a heavily cropped social upload alone, because editing and compression can make the face harder to judge.
Locate the first clear mismatch
Watch at normal speed and note the moment that breaks recognition. Then pause before it, during it and at the next stable view. If the subject looks consistent again after a fast turn, the problem may be momentary blur or obstruction rather than persistent drift.
Write a specific observation: “The hairline and face shape change after the beach cut” or “The face is unclear only while the hand crosses it.” That description is more useful than “the AI looks wrong,” especially if you later need to compare a second attempt.
For two-person clips, first check the role assignment. If the wrong source photo was placed in the singer slot, a technically stable result can still look like an identity error to the person expecting the other role.
Check what the input actually shows
Look at the original photo at an ordinary viewing size. Is the face clear? Are the eyes and mouth visible? Does the lighting show facial structure? Is there another person who could make the intended subject ambiguous?
If the source is weak, choose a clearer image of the same person with permission. Avoid stacking unrelated edits onto the photo in the hope that more processing will create missing detail. A cleaner original is a more understandable change than an aggressively sharpened screenshot.
Keep the template's role guidance in view. A photograph that omits important appearance information may be a poor fit even if it is attractive as a portrait.
Use this decision path
- Wrong person appears in a specific role: confirm the uploaded slot assignment before retrying.
- Face is unclear only during a fast movement: inspect the surrounding stable views and judge normal-speed playback.
- Face differs from the beginning: revisit the source photo and whether it clearly represents the intended subject.
- Identity changes after a cut and remains different: record that transition as a persistent continuity defect.
- Only the edited export looks worse: compare crop, scaling and compression with the original download.
These checks narrow the question. They do not reveal the internal cause of a model failure or guarantee that the next attempt will fix it.
Retry with a hypothesis or stop
If the source photo is the likely issue, change that input while keeping other choices comparable. Review the displayed price before starting another generation. Keep both results so you can judge whether the same transition improved, rather than choosing whichever opening frame looks better.
If a defect affects an optional shot, a separate editor may let you remove it. If it affects the central performance, cropping around it can destroy the story. Set a stopping point based on your project's needs and budget; repeated blind attempts are not a troubleshooting method.
Save a short note describing the source, role, problematic moment and outcome. That makes support discussions or future comparisons concrete without claiming you have identified a technical cause you cannot verify.
Frequently asked questions
Will increasing resolution fix face drift?
Do not assume it will. First identify whether the issue is identity, blur, cropping or source-photo clarity; higher pixel dimensions are not a face-consistency guarantee.
Should I retry immediately when a face looks odd?
Check the original download, the source photo, the role assignment and the next stable frame first. Retry only when you have a specific change to evaluate.
Continue your project
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