Partial AI video regeneration
Regenerate part of a video, not the whole thing
When one shot fails, isolate the work that needs another attempt instead of paying to recreate the scenes that are already right.
Start a reworkPartial AI video regeneration
A local rework path for a problem shot
Select the failed moment, retain the surrounding creative context, and decide whether a focused replacement is better than rerunning the entire clip.
- Limit new generation work to the shot or time range that actually failed.
- Carry forward the scene, reference, and instruction context that still works.
- Keep version and cost decisions visible before another generation attempt.
How a focused rework works
- 01
Select the failed shot
Identify the time range that needs another attempt instead of replacing the full video.
- 02
Set preservation constraints
Describe the local change while recording the character, scene, and motion that should remain stable.
- 03
Approve the replacement
Review the focused candidate and keep it only when it works with the rest of the edit.
A broken detail should not force a full rerun.
Keep the footage that already works and move only the problem into a focused, reviewable repair flow.
Start a repair- Frame-aware diagnosis
- Original source stays untouched
- Visible budget before execution
- Reusable repair history
- Export-ready adopted version