What is batch face swap?

Batch face swap applies one source face across many target images in a single run, instead of uploading and swapping each photo individually. Pixnova uses the same AI engine as its single-photo swap, so per-image quality is identical — batch just removes the repetition.

Is batch face swap free on Pixnova?

Batch face swap is available in Pixnova; the free tier covers single swaps with no watermark, and heavier batch usage and higher-resolution exports fall under premium. Try a single swap first to check the face photo you plan to use.

Does every photo in a batch need the same lighting?

No, the AI matches lighting and skin tone per image. But consistency helps: if your target set has similar framing and lighting, the swapped face looks more uniform across the whole set — useful for photo series, product shots, or character sheets.

Can I batch face swap videos or GIFs?

Batch is for images. Videos are processed one clip at a time through the video face swap tool, and GIFs through the GIF face swap tool, because each clip is tracked frame by frame.

What is the best use of batch face swap?

Any time one face needs to appear across a set: turning a photo series into a consistent character, previewing a look across several outfits or scenes, or producing variations for a project. Use it only with faces you have permission to use.

Batch Face Swap: One Face, Many Photos, One Run

TL;DR

Pixnova's batch face swap takes one face photo and applies it across a set of target images in a single run — same engine, same per-image quality as a single swap, without uploading photos one at a time. This guide covers when batch actually saves you work, how to prepare a set so the swapped face looks consistent across it, and what batch does not do.

When batch beats one-by-one

Photo series: a set of shots that should read as one character or person
Variations: the same face across several outfits, scenes, or backgrounds
Project batches: anything where you would otherwise repeat upload → swap → download a dozen times

For a single photo, the regular face swap is faster. Batch earns its place at three or more images.

Preparing a set that swaps consistently

Pick the source face carefully — it drives every image in the run. Sharp, front-facing, evenly lit; test it on one photo first (quality tips).
Keep target framing similar — the AI matches lighting per image, but similar face size and angle across the set produces the most uniform result.
Drop the outliers before the run — extreme angles, heavy occlusion, or tiny faces will be the weak images in any batch; better to swap those individually or skip them.

What batch does not do

Batch is for images. Videos go through the video face swap one clip at a time, and GIFs through GIF face swap, because motion is tracked frame by frame per clip. And batch does not improve a weak source photo — it repeats it across every image, which is exactly why step one above matters.

What the engine produces

Unedited single-swap results from the same engine, using AI-generated model faces (no real people). Every image in a batch gets this treatment.

Real Pixnova Face Swap Results

Every example below was generated with Pixnova’s face swap AI — no retouching. All faces are AI-generated models, not real people.

Original portrait photo before AI face swap (AI-generated model, not a real person) — Face swap example 1

Realistic AI face swap result generated with Pixnova — lighting and skin tone matched automatically — Face swap example 1

All example faces are AI-generated models, not real people. Results are unedited Pixnova output.

Responsible use

Batch makes it easy to produce many images fast — which is why the rule matters more here, not less: only swap faces you have permission to use. The Is Pixnova Safe page covers privacy handling and the terms.

Frequently Asked Questions

Test the engine on one photo first — free, no watermark — then run your set.

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