Target photo
This is the original image whose scene, body, pose, and styling stay in place.
Bring the photo you want to keep and the face you want to use. Zeny moves both into your workspace, where the identity is blended without rebuilding the scene.
This is the original image whose scene, body, pose, and styling stay in place.
Use a sharp, front-facing portrait of the face you want to place into the target.
The final image is generated in your Wery workspace.
Face Swap AI is an image editing workflow that transfers the facial identity from one photo into another while keeping the target photo's pose, clothing, background, and composition. In Wery, Zeny sends the two references to GPT Image 2 so you can review and refine the result in a persistent workspace.
Each strip makes the workflow easy to verify: target photo, new face reference, then the scene-preserving result.

The black bob, ivory tailoring, pose, concrete studio, and daylight remain fixed while the freckled reference identity is blended into the portrait.

The black hair, olive jacket, motel walkway, sea haze, and blue-hour light remain untouched as the new identity settles naturally into the frame.
The landing page collects the references. Zeny performs the actual edit after a secure workspace handoff.
Choose the image you want to keep. A single clear primary face produces the most predictable result.
Choose a well-lit face photo with visible eyes, nose, mouth, and jawline. Similar angles help the blend.
Your files and the optimized GPT Image 2 instruction move into Wery, where the edited result can be refined.
The prompt tells GPT Image 2 exactly what to change and what to preserve.
Composition, pose, clothing, hair, background, lighting, and framing remain anchored to Image 1.
Zeny asks the model to align facial geometry, skin tone, focus, shadows, expression, and camera angle.
Target and face files are uploaded in a fixed order and labeled in the lead data so their roles stay unambiguous.
The face swap opens in Zeny's workspace, where you can request another blend, crop, or creative variation.
Use photos you own or have permission to edit. Do not create deceptive, harassing, exploitative, or impersonation content. Review the generated image before sharing it, especially when a realistic result could confuse viewers.
Practical answers about input photos, quality, privacy, and the Wery workflow.
The target image provides the body, pose, clothing, background, lighting, and composition. The face reference provides the new facial identity. Zeny sends both images with an instruction that tells GPT Image 2 to change only the primary face and preserve the rest of the target photo.
Use a sharp target photo with one clear primary face and a well-lit face reference. Similar head angles, expressions, and image quality make a natural blend easier. Avoid heavy blur, sunglasses, strong occlusion, or faces that are only a few pixels wide.
Image 1 is always the target photo you want to keep. Image 2 is always the new face reference. The page uploads the files in that order and labels their roles before the handoff.
The workspace prompt explicitly asks GPT Image 2 to preserve the target photo's background, body, pose, clothing, hair, framing, and lighting. Generative edits can still vary, so review the output and ask Zeny for a tighter retry if needed.
The page accepts JPG, PNG, and WebP images up to 10 MB each. Images are validated before they are sent to the marketing upload flow.
The landing page prepares and uploads both references. After login, a one-time handoff opens Zeny's Wery workspace with the files and optimized GPT Image 2 prompt, where the edited image is generated and can be refined.
Only use images you own or have permission to edit. Do not use face swap technology for impersonation, fraud, harassment, exploitation, or misleading claims. Follow applicable laws and platform rules when you publish edited media.
Choose a target photo, add the new face, and continue the editable result in your Wery workspace.