How to Face Swap a Photo Online: Complete Guide (2026)

Photo face swap takes a face from one image and places it onto a person in another, matching the pose, lighting, and expression of the original shot. NamiFusion's online image face swap runs in the browser, processes up to 20 photos per batch, and offers two models — realistic for natural blending and high-similarity for results that look strikingly like the source person. Signing up is free and includes free credits; beyond that, $1 buys 100 credits.

TL;DR

Swap faces in up to 20 photos in a single batch run — one setup, twenty results.

Two model tiers: realistic for seamless blending, and high-similarity (the pro option) when the output must look like the actual person.

Multi-face mode maps every face in a group photo individually, and cross-image dedup means each person is mapped only once.

Recently used source faces are saved for one-click reuse — recurring projects get faster every time.

Free signup credits, watermark-free downloads, and no content filter.

How do you face swap a photo online?

1. Open the image face swap tool on NamiFusion and sign in to claim your free credits.

2. Upload your target photos — up to 20 images in one batch.

3. Choose single-face mode for one swap per photo, or multi-face mode to map each detected face separately.

4. Upload a source face photo, or pick one of your recently used faces for one-click reuse.

5. If the same person appears in several photos, map them once — cross-image deduplication handles the rest.

6. Pick a model: realistic for natural blending, or high-similarity when likeness to the source person is the priority.

7. Run the batch, review results in the on-page history, download what you like, and retry any failed image individually.

Realistic vs high-similarity: which model should you pick?

The realistic model prioritizes how well the new face blends into the target photo — skin tones, lighting, and grain all match, which makes it the safer default for stylized shots, artistic edits, and memes.

The high-similarity model is the professional option: it pushes the output to resemble the source person as closely as possible. Choose it for personal avatars, portraits, and client work where someone will judge the result by how much it looks like them.

My workflow: run one test image through both models — it only costs a few credits — compare them side by side in the history, then batch the remaining photos with the winner.

How does batch and multi-face swapping actually work?

Batch mode accepts up to 20 images and treats each one as its own job, so one bad photo never sinks the run — you can retry failed items individually. Results accumulate in the history strip on the page, ready to compare and download.

In multi-face mode, every detected face in every photo gets a mapping slot. The clever part is cross-image deduplication: NamiFusion recognizes when the same person appears across multiple photos and asks you to map them exactly once. For an event album with five people across twenty shots, that means five mappings instead of dozens.

Source faces you have used recently stay one click away, which turns recurring jobs — a weekly series, a set of product shots with the same model — into a few seconds of setup.

How much does photo face swap cost?

Every new NamiFusion account starts with free credits, so your first swaps cost nothing. After that, pricing is pay-as-you-go: $1 = 100 credits, with no subscription.

Each image in a batch is processed as its own job, so cost scales with the number of images you run; if you want to estimate up front, the marketplace model cards show an approximate dollar price per image. And since failed images can be retried individually, you never pay to reprocess a whole batch because one photo hiccuped.

How do you get a convincing photo face swap?

Start with the source photo: front-facing, sharp, evenly lit, and with only one face in the frame. A selfie can work, but a well-shot portrait almost always swaps better.

Angles matter too: a target photo shot from an angle similar to your source face blends more cleanly, while extreme profile shots are the hardest case. If you have several photos of the source person, match each target to the closest source angle — with one-click face reuse, switching between saved source faces takes seconds.

Finally, model choice and retries: switch to high-similarity when likeness matters, and if the face looks pasted on, the realistic model usually fixes it. Retry with another source photo before blaming the tool — two photos of the same person can behave very differently.

Can you run photo face swap through the API?

Yes — the same models power NamiFusion's API marketplace, with 98+ models behind one unified REST interface. Create an API key on /api-keys, try the model in the free Playground first, then wire it into your app or script.

curl -X POST "https://www.namifusion.com/api/v1/marketplace/run/<model_id>" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "input": {
      "image_url": "https://example.com/target.jpg",
      "face_image_url": "https://example.com/face.jpg"
    }
  }'

# Poll until the task completes
curl "https://www.namifusion.com/api/v1/marketplace/run/tasks/<task_uuid>" \
  -H "Authorization: Bearer YOUR_API_KEY"