Start from one source photo with multiple people
Upload the group photo that should keep its body poses, outfits, background, lighting, and framing. PopcornAI detects visible faces in that image before you choose replacements.
단체 사진의 모든 얼굴을 감지하고 하나씩 교체 대상을 선택합니다.
먼저 단체 사진을 업로드한 뒤 얼굴 감지를 실행하세요.
예상 비용
8 크레딧
Multi Image Face Swap is an AI photo tool for group images where more than one visible face may need a separate replacement portrait.
Upload the group photo that should keep its body poses, outfits, background, lighting, and framing. PopcornAI detects visible faces in that image before you choose replacements.
After detection, each face card can receive its own portrait. You can replace one person, several selected people, or apply the same portrait to every detected face when that matches the task.
Group face swaps should be used with consent from the people represented. Check every changed face for artifacts and avoid using the result to impersonate, mislead, or place someone into a sensitive context.
This example shows the complete input-to-output relationship: a source group photo keeps the scene, replacement portraits provide the new faces, and the output image keeps the same group composition while changing the selected people. Results vary with face size, angle, lighting, and how clearly each person appears.

This workflow separates source detection from replacement selection, so you can decide exactly which detected face should change.
| Stage | What happens | Your decision |
|---|---|---|
Target group photo | The uploaded image provides the final scene: people positions, body pose, outfits, background, camera angle, and lighting. | Use a clear group photo where each face you want to edit is visible enough to inspect. |
Face detection | PopcornAI scans the source photo and returns face cards for the visible faces it can detect. | Confirm the detected face cards match the people you intend to change before uploading replacement portraits. |
Replacement portraits | Each face card can receive a separate portrait, or one portrait can be applied to every detected face. | Upload one clear face image per person when identities should be different. Leave a face unmapped if it should stay unchanged. |
Final image review | The generated image keeps the original group photo as the base while replacing the selected faces. | Inspect every changed face for edge artifacts, skin tone mismatch, expression issues, and consent before downloading or sharing. |
Use this tool when the hard part is choosing who changes in a multi-person still image, not rewriting the whole scene.
| Task | Why this tool fits | Watch out for |
|---|---|---|
Group photo edit | Replace one or more people in a team photo, family-style image, event photo, or staged scene while keeping the original group composition. | Tiny faces, motion blur, people turned away from camera, and faces partly hidden by hair, hands, hats, or shadows. |
Cast and character mockup | Preview different faces in an existing group scene without rebuilding the outfits, camera framing, or background from scratch. | Replacement portraits with very different head angles, expressions, lighting direction, or image quality. |
Private social creative | Make consent-based group swaps for internal drafts, parody images, party edits, or visual experiments where everyone involved understands the edit. | Sharing a result as if it were a real photo, using someone's likeness without permission, or placing real people into sensitive contexts. |
One-face edit in a crowded image | When a photo contains several faces but only one person should change, the detection step helps you target the intended face instead of guessing. | Similar-looking faces or low-resolution crops can make review more important before generation. |
The workspace is built around a detect-then-map flow: upload the group photo, detect visible faces, assign replacements, then generate the final image.
Choose the image that should remain the base scene. Keep the people, background, pose, and lighting you want in the final result.
Run face detection so the workspace can show a card for each detected face in the source image.
Upload one clear face portrait for each detected person you want to replace. Use Apply one face to all only when every detected face should use the same portrait.
Create the task, then review the result in history. Check each changed face separately before using the image.
Group photos are less forgiving than single portraits because every selected face must be detected, mapped, and blended in the same scene.
| Input | Works best | Avoid |
|---|---|---|
Group photo | Medium or close group framing, visible facial landmarks, stable lighting across the scene, and enough resolution to inspect each person. | Very wide crowd shots, heavy motion blur, faces smaller than a thumbnail, extreme side profiles, harsh shadows, or faces cropped by the image edge. |
Detected faces | Face cards that clearly correspond to the people you want to change, with no duplicate or irrelevant detections selected by mistake. | Generating before checking which face card belongs to which person, especially when people look similar or overlap in the photo. |
Replacement portraits | One face per portrait, clear eyes, natural expression, similar head angle, and lighting close to the source photo. | Screenshots, filters, sunglasses, masks, low-resolution crops, group portraits, strong beauty effects, or portraits with very different lighting. |
Final review | Check every edited face for alignment, jaw shape, hairline edges, skin tone, expression, and whether the whole group image still feels coherent. | Approving the image after looking at only one changed face, or sharing edits without clear permission from the people represented. |
When a group swap looks wrong, isolate the issue: detection, face mapping, replacement portrait quality, or source photo quality.
| Problem | Likely cause | Try this next |
|---|---|---|
A face you need does not appear after detection | The face may be too small, blurred, turned away, covered, cut off, or hidden in uneven lighting. | Use a clearer group photo or crop closer around the people you want to edit before uploading again. |
The wrong person changes | A replacement portrait was assigned to the wrong detected face card, or similar faces made the mapping easy to misread. | Clear the mapped portrait, compare the face cards again, and upload the replacement only on the intended person's card. |
One replaced face looks less natural than the others | That replacement portrait may have a different angle, expression, lighting direction, or resolution from the group photo. | Keep the source group photo and swap only that replacement portrait for a clearer, closer-angle face image. |
The whole result feels inconsistent | The group photo may have mixed lighting, heavy compression, or too many small faces for a clean blend. | Choose a higher-resolution source image with fewer faces, closer framing, and more even light. |
Multi Image Face Swap is for selected face replacement in still images. It is not a tool for impersonation, hidden identity use, or full-scene image redesign.
| Situation | Use this instead | Why |
|---|---|---|
Only one clear person appears in the photo | Single Image Face Swap | A single-face workflow is simpler when there is one primary face and one replacement portrait. |
The source media is a video | Single Video Face Swap or Multi Video Face Swap | Video workflows track faces across frames. A still image tool only edits one photo. |
You want to change clothing, background, pose, or art style | Image to Image AI | Face swap keeps the source photo as the base. Use image generation or editing when the whole scene should change. |
You do not have permission to use someone's likeness | Do not generate or share the swap | Use face swap only with appropriate rights and consent. Do not impersonate people or mislead viewers about what is real. |
Common questions about using PopcornAI to replace selected faces in a group photo.
You can read the guide and prepare your group photo before signing in. Running face detection or generating the final swap requires signing in so PopcornAI can manage uploads, credits, and history.
Single Image Face Swap is for one primary face in one photo. Multi Image Face Swap is for group photos where the workspace detects visible faces and lets you choose which detected people receive replacement portraits.
No. Upload replacement portraits only for the detected faces you want to change. Faces without a mapped replacement are not part of the selected face map.
Yes, the workspace includes an Apply one face to all option after detection. Use it only when every detected face should receive the same replacement portrait.
Use image files for the group photo and replacement portraits. The current image uploader accepts image files up to 20MB, and original high-resolution photos usually work better than compressed screenshots.
The workspace shows the estimated cost before generation. A Multi Image Face Swap task currently uses 8 credits.
Detection can miss faces that are tiny, blurred, turned away, covered, cut off, or poorly lit. Try a higher-resolution group photo or a closer crop where the target faces are easier to see.
That face usually has a weaker input match. Try changing only that replacement portrait first, using a clearer image with a similar head angle, expression, and lighting direction.
Only use images and likenesses when you have the right to use them. Do not create face swaps that impersonate someone, mislead viewers, or place a real person into a sensitive context without consent.
Use Multi Video Face Swap for video sources. It is designed for detecting face tracks across video frames instead of editing one still image.
Choose the tool that matches your source media and how many faces you need to control.
ImageSwap one main face in a still photo when there is no need for face detection and mapping.
VideoReplace one main face in a source video with a target portrait.
VideoDetect face tracks in a video and map different replacement portraits to different people.