Multiple Face Swap: Change One Face in a Group Photo

Multiple Face Swap: Two Different Problems

“Multiple face swap” gets used for two jobs that need completely different approaches. One is changing a single person inside a group photo while leaving everyone else untouched. The other is replacing several people with several different faces in the same image.

The first is a single pass and takes about ten seconds. The second cannot be done in one pass by any tool that accepts one source face at a time — it needs an iterative workflow, which is straightforward once you know the pattern but is rarely explained.

This guide covers both, including how to describe which person you mean so the model picks correctly, what the multi-pass approach costs, and where quality starts to degrade. The tool used throughout is Bananaify's face swap.

Multiple Face Swap in a Group Photo: Changing One Person

This is what most people searching for multiple face swap actually want: a wedding party, a team photo, a family picture where exactly one person should change and the rest of the image must survive intact.

• 1. Upload the group photo as the target — the image you want to edit.
• 2. Upload the source face as the second image.
• 3. Switch Swap mode to Multiple Faces. This reveals a text field asking which face should change.
• 4. Describe the person — “the woman on the left,” “the man in the blue shirt.” Everyone else stays untouched.
• 5. Set the fine-tune toggles — keep original hairstyle, match skin tone and lighting, enhance face detail.
• 6. Generate. A photo swap costs 4 credits at standard resolution and returns in about ten seconds.

The instruction the tool composes is explicit about what must not change, which is why the rest of the group survives:

Describing the Right Person

When a multiple face swap picks the wrong person, the description is almost always the cause. The model sees the photograph, not the context you have in your head — so “my friend” or “the bride” means nothing to it, while “the woman in the white dress” is unambiguous.

Use position plus one visible detail

“The man on the right in the grey jacket” is far more reliable than either half alone. Position narrows the field; the visible detail confirms it. This one habit fixes most mis-targeting.

Avoid counting

“The second person” assumes an ordering the model may not share — left to right, front to back, or by prominence. Describe rather than count.

Describe what is seen, not what is known

Roles and relationships are invisible in a photograph. Clothing colour, glasses, hair colour, hat, position and approximate age are all things the model can actually observe.

Multiple Face Swap for Several People at Once

Here is the honest constraint on multiple face swap, because it saves a lot of wasted credits: one pass takes one source face. If you name two people in the same pass, both get the same face — occasionally useful as a gag, rarely what you wanted.

To give different people different faces, run the swap once per person and feed each result back in as the target for the next pass:

• Pass 1 — target: the original photo. Source: face A. Name person one. Download the result.
• Pass 2 — target: the pass 1 result you just downloaded. Source: face B. Name person two.
• Pass 3 — target: the pass 2 result. Source: face C. Name person three.

Because each pass names a different person and preserves everything else, the earlier swaps are carried through untouched. This sequential approach to multiple face swap also gives you a checkpoint after every step — if pass 2 goes wrong you re-run only that pass rather than starting over.

Where quality starts to slip

Each multiple face swap pass re-encodes the whole image, so fine detail softens slightly every time. Through three passes this is usually invisible. By pass four or five, look carefully at the faces you swapped first — they have been through the most re-encoding. If softening shows, turn on enhance face detail, or generate at 2K so there is more detail to lose.

What Multiple Face Swap Costs

The cost of a multiple face swap scales linearly with passes, because each pass is an ordinary photo swap. At 4 credits per swap at standard resolution, changing three people in a group shot costs 12 credits. Credit packs start at $19 for 100 credits, so that is roughly a dollar and a half of work.

Higher resolutions cost more per pass — how much depends on the model, and the exact figure is shown on the button before you generate — and that adds up quickly across a multi-pass job. A sensible pattern is to run the passes at standard resolution to confirm the composition works, then re-run the sequence at 2K once you know the descriptions target the right people.

Credits never expire and are refundable for 7 days: a full refund if you have used 5% or less, pro-rated beyond that. The exact cost appears on the button before each generation, so a multi-pass job never surprises you halfway through.

Multiple Face Swap in Video

The same targeting works on footage. A multiple face swap on video uses the identical control: in the Video Face Swap tab, Multiple Faces mode asks the same question — which face should change — and the instruction sent to the model pins down that everyone else in the clip stays exactly as filmed, along with the motion, camera work and background.

The multi-pass trick does not transfer well to video, though. Re-rendering a clip repeatedly compounds both quality loss and cost, since video is billed per second across input and output. For footage, change one person per clip and accept that as the practical limit. The AI face swap video guide has the full per-second rate tables, and the step-by-step video walkthrough covers the workflow end to end.

When Multiple Face Swap Picks the Wrong Face

It changed everyone instead of one person

Swap mode was left on Single Face. Without Multiple Faces mode the instruction does not include the word “only,” so the model treats the whole image as fair game.

It changed the person standing next to the one you meant

The description was ambiguous. Add a second visible trait — colour of clothing is the most reliable, because it is unmistakable even in a low-resolution photo.

An earlier swap got altered on a later pass

Two descriptions overlapped. “The man on the left” in pass 1 and “the man in the dark shirt” in pass 2 can resolve to the same person. Make each description distinguish its target from everyone else, including from people you have already changed.

Faces look flat or pasted on

Match skin tone and lighting was turned off, or the source photos were lit very differently from the group shot. Pick source faces shot in comparable light where you can.

Consent in Group Photos

Group shots raise a wrinkle that single-subject edits do not: the other people in the frame did not ask to appear in an edited image either. Swapping your own face into a friend's photo with their agreement is fine. Editing a photo of a group who have not been asked, and then publishing it, is a different thing.

Using any face swap tool to impersonate a real person, fabricate something that looks like evidence, or produce sexual imagery of someone violates Bananaify's terms and, in a growing number of jurisdictions, the law. Explicit and non-consensual requests are blocked. Uploads are used only to produce your result — not sold, not used to train models, not published anywhere — and generated files can be deleted from the dashboard at any time.

Multiple Face Swap FAQ

Can I swap several faces at once?

Not with different source faces in a single pass — one pass takes one source image. Run the swap once per person, using each result as the target for the next pass. Three people costs three passes and about 12 credits.

Can I put the same face on everyone in a photo?

Yes, and that is a single pass. Name several people in the which-face field, or use Single Face mode, and the same source face is applied throughout.

How do I make sure it changes the right person?

Give a position and one visible detail: “the woman on the left in the red dress.” Avoid roles, names and counting — the model can only work from what is visible in the photograph.

Does quality drop across multiple passes?

Slightly, since each pass re-encodes the image. Three passes is generally safe. Beyond that, work at 2K so there is more detail in reserve, and turn on enhance face detail.

Does multiple face swap work on video?

Targeting one person in a clip works the same way. Chaining passes does not — re-rendering footage repeatedly compounds cost and quality loss, so change one person per clip.

What does it cost?

4 credits per photo swap at standard resolution on every model; higher resolutions vary by model and the total is shown before you generate. Multiply by the number of people you are changing. Packs start at $19 for 100 credits, refundable for 7 days.

Getting Started

For a multiple face swap on one person in a group shot, switch to Multiple Faces mode, describe them by position and clothing, and generate — that covers the large majority of cases. For several people, work through them one pass at a time, feeding each result back in.

Start at the face swap tool. For video work, see the online video guide and the technical breakdown. For photo editing prompts more generally, try our AI photo editing prompts collection.