AI Face Swap Examples: Target, Reference and Result

Evidence disclosure

What these images are, and what they are not

A useful example page should make provenance and limits as visible as the images. These assets explain the intended identity-and-scene relationship without turning illustration into an unsupported performance claim.

01

Official demonstration assets

The six visual assets are DeepSwapAI illustrations: one single-photo target-reference-result composite, one mapped group-photo composite, two studio identity references, and two scene directions used in the current product experience.

02

Not community uploads

No image on this page is presented as a customer result, user submission, testimonial, or record from a paid generation task.

03

No invented benchmark

The examples do not establish an accuracy score, average quality, generation speed, success rate, or guaranteed outcome.

04

Inspect visible evidence

Compare identity landmarks, hair boundaries, facial light, foreground overlap, and scene detail. Then test your own representative input before scaling.

Image rights and reuse. DeepSwapAI or its licensors reserve all applicable rights in these official demonstration assets. Viewing this page does not grant permission to republish, redistribute, resell, or use them commercially. Use the official contact page to request written licensing or attribution terms.

Photo workflow example

See which image supplies the scene and which supplies the identity

The target image establishes the body, hair, pose, lighting, and background. The identity reference supplies the facial cues to place into that scene. The labeled result panel makes that input relationship visible before you test your own media.

Target: inspect the scene, pose, hair, clothing, light, and facial angle that should remain coherent.
Identity reference: compare visible eyes, brows, nose, mouth, jaw, and age cues.
Illustrative result: review the facial identity separately from edges, light, and scene continuity.

Official illustrative photo face swap workflow showing the target image, identity reference, and example result — **Official illustrative target-reference-result composite.** It explains the photo workflow and is not presented as a customer result, live generation record, or controlled performance benchmark.

Mapped group-photo example

Assign a different identity to each selected person

This official composite illustrates the relationship between one group target, four separate identity references, and one multi-person result direction. The live multiple face swap workspace detects people first and displays the numbered reference-to-target mapping before submission.

One target group: the photo supplies the people, pose, pool scene, lighting, hair, clothing, and background.
Separate identity references: each selected person receives a distinct reference rather than one reference being implied for the whole group.
Evidence limit: this is an official explanatory composite, not a user upload, task receipt, average-quality sample, or guarantee for another image.

Use the group-photo preparation guide to check visibility, spacing, numbered order, the 10-reference limit, and the current 2-credit-per-selected-face cost.

Official illustrative group-photo face swap workflow with four identity references and one multi-person result direction — **Official illustrative group-photo composite.** It explains a four-reference mapping direction and is not presented as a customer result, live generation record, or controlled performance benchmark.

Identity direction A

Green eyes and a defined brow in a detailed outdoor scene

The studio portrait supplies the visible identity cues. The scene direction places a related facial identity among flyaway hair, flowers crossing the lower face, bright sky, and dappled light.

Identity reference

Use the eyes, brow line, nose, mouth, jaw, and overall age cues as the comparison anchors.

Identity: compare eye color, brow weight, lip shape, and jaw proportions.
Edges: inspect the hairline, cheek boundary, and flowers near the jaw.
Light: check whether highlights and shadow direction remain coherent within the scene.

Official AI face swap demonstration direction with a green-eyed woman among colorful flowers — **Official illustrative scene direction.** It is paired with the reference for visual inspection, not claimed as a user result or controlled before-and-after test.

Identity direction B

Brown eyes and softer facial lines in the same visual language

The second studio portrait supplies a different set of identity cues. The related scene direction uses the same flower-field language so viewers can focus on facial identity without confusing it with a completely different environment.

Identity reference

Compare the eye shape, brow arch, nose, mouth, jaw contour, and overall facial proportions.

Identity: compare the eyes, brow arch, mouth corners, and chin shape.
Foreground: inspect how dense flowers overlap the lower face and neck.
Scene: review skin illumination against the bright sky and sunlit field.

Official AI face swap demonstration direction with a brown-eyed woman among colorful flowers — **Official illustrative scene direction.** It supports a transparent visual review; it does not represent an average result, a customer upload, or a live-task record.

Interpretation guide

What the examples can answer

Use the images to form a test plan, not to infer evidence that is not published.

Question	What is visible here	Limit
Can I compare identity cues?	Yes. The reference and scene direction expose eyes, brows, nose, mouth, jaw, and age cues.	This is a perceptual review, not a biometric similarity score.
Can I inspect the target-reference-result relationship?	Yes. The photo workflow composite labels the scene target, identity reference, and illustrative result.	It explains input roles but is not a controlled before-and-after benchmark.
Can I judge video or GIF continuity?	No. These are static illustrative assets.	Test turns, blur, occlusion, cuts, and loop seams in the relevant motion workflow.
Can I predict my output or speed?	No. Results vary with the supplied identity reference and target media.	Run one representative image or short clip and review the actual result before scaling.

From example to test

Use the same review order on your own media

Choose one clear identity reference. Keep the face sharp, unobstructed, and large enough to inspect.
Select a representative target. Include the pose, lighting, hair, accessories, or occlusion that matters to the final use.
Generate the smallest useful test. Start with one photo or a short difficult segment instead of committing a full batch or long clip.
Review identity and scene separately. Check facial landmarks first, then hair, edges, light, hands, foreground objects, and background continuity.
Check permission and the exact trial image. Confirm consent and inspect the complete-email trial image watermark disclosure before sharing that image.

For deeper preparation, use the face swap quality guide. After generation, record the same visible criteria with the face swap quality scorecard. For consent, retention, and sharing decisions, use the privacy checklist. The verification methodology explains how public claims are reviewed.

Choose a workflow

Test the media format you actually plan to publish

Photo face swap

Validate one identity and one target image.

Open photo workspace

Batch photo face swap

Test consistency before processing a larger photo set.

Open batch workspace

Video face swap

Review continuity through turns, blur, and occlusion.

Open video workspace

GIF face swap

Inspect fast motion, short loops, and seam continuity.

Open GIF workspace

Test one representative image

Use a clear identity reference and a target that contains the real lighting, pose, hair, or occlusion you need to evaluate.

Open photo face swap

AI face swap examples you can inspect

What these images are, and what they are not

Official demonstration assets

Not community uploads

No invented benchmark

Inspect visible evidence

See which image supplies the scene and which supplies the identity

Assign a different identity to each selected person

Green eyes and a defined brow in a detailed outdoor scene

Identity reference

Brown eyes and softer facial lines in the same visual language

Identity reference

What the examples can answer

Use the same review order on your own media

Test the media format you actually plan to publish

Photo face swap

Batch photo face swap

Video face swap

GIF face swap

Test one representative image