Head Swap AI
Replace heads in photos online
Head swap AI gives creators and product teams a fast way to test portrait transfer in the browser. Upload a target photo, provide a reference face, review the result, and move the same workflow to the API when you need automation.
Start with $1 credit.
Head swap AI snapshot
Fast portrait transfer for visual workflows
Head swap AI is strongest when users need a quick visual result, not a full manual retouching session. The playground helps teams test whether the target photo, reference face, lighting, and angle are suitable before building a full product flow.
WaveSpeed's face swap model page describes the provider's image face swap capability, and the REST API documentation covers the request pattern behind model inference. For deeper architecture and policy details, use the Face Swap Guide.
Upload, generate, review, route
The head swap AI workflow is simple enough for a creator and structured enough for a developer.
Upload. Add the target photo and the reference face image.
Generate. Run the image face swap model and review the output.
Approve. Check consent, likeness rights, facial quality, and brand safety.
Route. Download the result or move the workflow into the API for repeat jobs.
Best-fit head swap AI use cases
Avatar concepts
Explore profile images and character-style portraits
Campaign mockups
Test creative directions before a real photo shoot
Photo tools
Add consent-based face swap features to user workflows
Entertainment apps
Let users create playful image face swap outputs
Internal previews
Draft visual ideas before production approval
Batch concepts
Generate multiple safe variants for review queues
API products
Automate repeatable head swap AI workflows
Moderated publishing
Keep risky outputs behind human review
Input rules for better results
Head swap AI works best with clear, front-facing or lightly angled faces, good lighting, and enough facial detail in both images. Avoid tiny faces, heavy occlusion, low-resolution screenshots, extreme profile angles, and images where the user does not have rights to the likeness.
For applications, add validation before generation and review after generation. Store prompt or job metadata, source ownership, target approval, output URL, retention state, and moderation status.
Trust and source note
A survey of deepfake face-swap research in Multimedia Tools and Applications notes that identity preservation, lighting, occlusion handling, and temporal consistency remain active challenges. Use these sources for provider context, then test head swap AI with your own consent-based image set.
Head swap AI FAQ
Start with head swap AI
Open the playground, validate image quality, and connect the API when you are ready to build repeatable photo face swap workflows.
Start with $1 credit.