👥AI Group Photo Cleanup

Remove a Person from Group Photo

Use a large adjustable brush to fully cover the person you want removed, then run AI Edit. Review the first result, then follow this order if needed: regenerate -> Pro -> add a short custom prompt on top of the default prompt.

Remove a Person from Group PhotoTravel Photo CleanupReal Estate Cleanup
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Learn correct masking for higher success rate

After uploading, fully mask the whole person (including edges/contact areas), then generate.
If masking is incomplete, leftovers are common. Regenerate first, then switch to Pro or add small prompt refinements on top of the default prompt.

Mask boundaries decide quality

Mask what should be removed completely, and avoid masking what should stay. Correct boundaries produce more stable results.

One pass for simple shots, multi-pass for dense groups

Single-target scenes often finish in one pass. Dense group photos can require more than one generation.

Use a fixed fallback order

If result quality is off, follow: regenerate first, then Pro, then small custom prompt additions on top of the default prompt.

Before and After: Group Photo Person Removal

Christmas Family Group: Remove One Person

Input problem: a large holiday family photo, remove one specific person. Masking strategy: fully cover only that person. Generation strategy: first pass is often enough; if minor defects appear, regenerate once.

Before: Christmas family group photo with the person to remove still present
Before
After: target person removed from Christmas family group photo with natural background
After

Team Group: Remove Back-Row Center Man

Input problem: dense team composition with many people. Masking strategy: mask only the back-row center man with full coverage. Generation strategy: crowded scenes may need multiple passes; use regenerate -> Pro -> prompt tune if needed.

Before: back-row center man still present in team group photo
Before
After: back-row center man removed while remaining team members stay natural
After

Outdoor Group: Remove Leftmost Man with Hand Overlap

Input problem: the leftmost man has a hand on a woman's shoulder. Masking strategy: cover the full person plus the contact area. Generation strategy: if a residual hand appears, expand mask and add a short instruction to remove only the masked leftmost man while keeping others unchanged.

Before: leftmost man in outdoor group has hand contact with another person
Before
After: leftmost man removed and other people keep natural pose and gesture
After

3 steps to remove one person from a group photo

1

Fully mask the target person

Use an adjustable large brush and cover the full person. Include overlap/contact edges when body parts touch others.

2

Generate once and inspect

Run AI Edit and check for leftovers, edge artifacts, or contact-area residue before deciding next action.

3

Follow the fallback order

Regenerate first, switch to Pro if needed, then add short custom prompt constraints on top of the default prompt.

Occasional edits: choose Pack S or Pack M (credits never expire). Weekly edits: Monthly 250 is usually better value.

Unlock Pro and Original Downloads

Choose one-time packs for low-frequency work, or subscribe monthly for recurring usage.

Pack S

Low entry, try paid

$3.99/once
12 estimated images
50 credits
≈12 Fast or 5 Pro
  • 50 credits
  • Unlock Pro model
  • Download Original (no compression)
  • Credits never expire
MOST POPULARBEST VALUE

Pack M

Most popular one-time pack

$9.99/once
50 estimated images
200 credits
≈50 Fast or 20 Pro
  • 200 credits
  • Unlock Pro model
  • Download Original (no compression)
  • Credits never expire

Pro Monthly

Best for frequent usage

$9.99/month
62 estimated images
250 credits
≈62 Fast or 25 Pro
  • 250 credits per month
  • Renews monthly
  • Unlock Pro model
  • Download Original (no compression)
  • Monthly credits top-up
  • Cancel anytime

One-time packs never expire. Monthly refills 250 credits every billing cycle.

30-day money-back guarantee

Group Photo Cleanup FAQ

Not necessarily. In crowded or overlapping groups, one pass may not be enough. If mask boundaries are correct, regenerate first and continue with targeted re-masking if needed.