Do I need two images to swap a face?

Yes. Provide the source face you want to use and the target photo you want to change. They occupy separate image inputs, so you can replace either reference while keeping the rest of the workflow.

Which model runs the face swap?

The linked template uses GPT Image 2.5 Flare as a multi-reference image editor. Its instruction asks for the source face on the target while preserving the target's pose and surroundings. The result still needs a visual review.

Can I swap faces in a video?

This template does not replace faces frame by frame in an existing video. You can swap a face in a still photo, then connect an image-to-video model to generate a new clip from that photo.

Can I change the model that does the swap?

Yes, if you use an editor that supports the references and edit you need. Match its input ports and settings to the graph. Changing models can require rewiring, and different editors can give different results.

How good is the result?

It depends on the references and the edit. Start with clear, well-lit images where the faces are visible. Review identity, pose, hair and background in the result; adjust the instruction and rerun when details need work.

Can I batch face swaps?

You can reuse the workflow with different target images. For automated batches, add the appropriate iterator or API setup and test on a small set first. The starter template itself contains one source, one target and one editing node, not a folder-processing system.

Can I run this face swap from code?

Yes. Run your own saved copy through the REST API with an API key, two image URLs and the instruction. The run returns an execution ID; poll it for results. A connected MCP agent can also run workflows it is permitted to access.

Andrew Adams · Co-Founder & Operations at Wireflow · Updated September 24, 2026

AI Face Swap Online: Photos and Video in Your Browser

Name: AI Face Swap Online: Photos and Video in Your Browser
Author: Andrew Adams

Put a source face into a target photo with a ready-made, editable workflow.

Upload your two images, tune the instruction, and review the swap. Free to build; ongoing generation uses paid credits.

Open face-swap workflow Read the Agent Docs

Free to build · no credit card

AI Face Swap - Source and Target to Swapped Photoconnecting to live embed…Open workflow →

AI Face Swap Online: Photos and Video in Your Browser

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What AI face swap actually is on Wireflow

A face-swap workflow keeps your references and editing instruction together. One input holds the source face, another holds the target photo, and a Text Input describes the change. GPT Image 2.5 Flare reads those inputs to generate an edited still on hosted compute, with nothing to install locally.

Open the connected template to start with those parts in place. Replace the sample photos, tell the editor what to preserve, and review the result. The instruction asks it to keep the target's pose, hair, clothing and surroundings while changing the face. Clear reference images give you a better starting point, and the visible inputs make revisions easier to manage alongside your other AI image editor work.

What the face swap graph is made of

Source and target imports

Replace the source face or target photo independently without rebuilding the editing step.

Instruction text

Keep the edit direction visible, including the pose, lighting and surroundings you want to preserve.

GPT Image 2.5 Flare edit

Connect both photo references and the instruction to one hosted image-editing stage.

Swappable model slot

Try another supported editor by matching its image inputs and settings to your workflow.

Animate the still

Add image-to-video after the edited photo to create a new clip from that still.

Batch and rerun

Reuse the graph with a new target, then add a batching setup for multiple inputs.

How the swap graph runs

The linked template contains two image imports, one text instruction and one editing node, plus a note explaining how to use it.

Source Face and Target Photo are Import nodes. Replace the sample images with the face you want to use and the photo you want to change.
Swap Instruction is a Text Input. Set the direction for the edit, including the pose, clothing and surroundings you want to preserve.
Face Swap runs GPT Image 2.5 Flare. The two images and the instruction feed the same editing node. Review its generated still before deciding whether to refine the prompt or continue.

You can build on that still without starting a separate project. Add compatible editing or image-to-video nodes, or explore an AI avatar generator workflow. If you change the editor, match its reference-image ports and settings to the graph; different models do not always accept the same inputs.

What this face swap will not do

This template edits a face in a still image. To create motion, you can add an image-to-video node after the swap. That creates a new clip from the edited photo; it is different from tracking and replacing a face throughout footage you already filmed.

Sharp, well-lit references with visible faces are a useful starting point. Large angle differences, low light and obstructions can make the blend harder. Check the face and surrounding details after a run, and refine the instruction when needed. Use faces and images you have permission to edit, and get consent before publishing an identifiable person's likeness.

Build the AI headshot generator style graph free, then choose a paid plan for ongoing generation. Model choice and output settings determine the credits used by each run.

More Than Just AI Face Swap Online: Photos and Video in Your Browser

Two references, one clean swap

Keep the source face and target photo separate, so each is easy to replace. Refine the instruction in your AI image editor workflow.

Pick the model, keep the graph

Keep the surrounding steps when trying a compatible image editor. Match its reference inputs with AI model chaining.

From swapped photo to clip

Give the edited still a next step: connect an image-to-video model. Build photo editing and motion into one AI video pipeline.

Swap once, swap a thousand

Reuse the same face-swap recipe with new target photos. Set up batch AI generation when you are ready to process multiple inputs.

Free to build, pay per run

Build and adjust the flow free before choosing a paid run. Model costs are shown up front, as on the AI image generator canvas.

Open Platform

Build Any AI Workflow

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FAQs

The template connects a source-face image, a target photo and a text instruction to GPT Image 2.5 Flare. Replace the sample images, adapt the instruction and run the editing node. Review the generated still and refine the prompt if needed.

More From Wireflow

AI Image EditorEdit and restyle images on a node canvas AI Headshot GeneratorGenerate clean professional headshots AI Avatar GeneratorCreate stylized avatars from a face AI Video PipelineChain image and video nodes into one flow Batch AI GenerationRun one workflow across many inputs

Written by

Andrew Adams · Co-Founder & Operations at Wireflow

Runs client operations and content strategy at Wireflow. Works directly with creative teams and agencies to build production AI workflows.

Content StrategyClient Operations

Swap a face in your browser

Start with the connected face-swap template. Replace the source and target photos, adjust the instruction, and review the generated image. Building is free; ongoing generation uses credits on a paid plan.

Open face-swap workflow Read the Agent Docs

Free to buildNo credit cardNo GPU or installCancel anytime