A wedding ceremony close-up frame often has 4-6 faces — bride, groom, officiant, parents, ring bearer — and each needs a different Portrait Retouching profile. Apply Female-bride defaults to the groom and his skin texture flattens; apply the same settings to a senior grandparent and you erase character that should stay. Evoto Video's Face Detection + Add Character system lets you treat each character separately within one clip.
How to do it
Enter the Portrait Retouching module. Click Face Detection in the upper-right of the Control Panel. Turn on Show Face Frame to confirm Evoto found everyone — useful when a guest is partly in shadow.
For each detected character, set the group: Male / Female / Child / Senior. The bride gets Female, the groom gets Male, the officiant might be Senior, the ring bearer is Child. Each group ships with calibrated defaults appropriate to that face.
If Evoto missed a face (back of head, partial profile, mask), use Add Character to draw a frame around the missed face. Evoto assigns it as a new character you can then label.
If Evoto misclassified a character (tagged the bride as Male, the groom as Senior — both happen with stylized makeup or beards), select the character (highlighted yellow) and use Change Character Attributes to correct the group.
Apply per-face skin retouching levels: aggressive on the bride if requested, restrained on the groom, very light on the senior officiant, and minimal on the child. Use Manual Tuning Pen for the one frame where motion blur produced a false-positive that needs to be erased on the body.
Try it
Find a recent wedding ceremony or first-look clip with 3+ faces. Run Face Detection, set per-character groups, and apply different retouching strength per character. Compare to your previous global-retouch approach: senior guests should look like themselves, the bride should look polished, the ring bearer should look untouched.
Watch out for
Applying the same Portrait Retouching slider levels to every character. The whole point of the character system is per-face calibration; ignoring it produces the homogenized "AI face" look on everyone.
Forgetting to Apply Effects after each character's adjustments. Each character's retouching is a render step.
Mistakenly tagging a background guest as a primary character. Background guests rarely need retouching — Delete Character on them so the cost (and the over-processing risk) stays on the foreground people.
Source: Portrait Retouching