Face Swap Best Practices

Overview

Face Swap allows you to place a specific face onto a model photo, which is useful for brand ambassadors, influencer campaigns, and personalised marketing imagery. The AI preserves skin tone, expression nuance, and lighting to produce photorealistic results.

This tutorial covers best practices for source image selection, quality tuning, and responsible usage.

Preparing Source Images

For the best output, use a front-facing headshot with even lighting and a neutral expression. The face should occupy at least 30% of the image frame. Avoid sunglasses, heavy shadows, or extreme angles as they reduce the AI's ability to map facial landmarks accurately.

High-resolution images (1024 x 1024 or above) yield noticeably better detail, especially around eyes and hairline.

Running a Face Swap

In the Studio, select Face Swap as the project type. Upload your target image (the body/scene) and your source face image. The AI automatically detects facial landmarks in both images and generates a blended result. Review the output in the preview pane before finalising.

Use the Blend Strength slider to control how much of the source face features are applied versus the target image.

Quality Settings

The Quality dropdown offers three tiers: Draft (fastest, lower fidelity), Standard (balanced), and Premium (highest fidelity, slower). For client-facing assets always use Premium. Draft mode is ideal for rapid iteration during the creative exploration phase.

Enable Colour Harmonisation to automatically adjust skin tone and white balance between the source and target images.

Ethical Guidelines

Face Swap is a powerful tool and must be used responsibly. Always obtain consent from the individuals whose likeness is being used. Do not use Face Swap to create misleading, defamatory, or non-consensual content. huhu.ai includes built-in safety filters that detect and block prohibited use cases.