High-Quality Face Swap Video: Inputs and HD Settings

Face swap video high quality starts with the inputs

A sharp output has more than one dimension: pixel resolution, recognisable character features, stable movement and a believable fit with the scene. A 720p file can still contain a wrong facial detail or an unstable edge. Check each part separately instead of treating the HD label as a quality guarantee.

Start with one clearly visible person and a short clip. In ActLike AI the maximum source length is 20 seconds. For troubleshooting, a five-second sample makes it easier to see the moment an error appears and keeps the credit cost lower.

• Use an evenly lit photo with a clear front-facing face.
• Avoid sunglasses, heavy shadows and hair across the eyes.
• Choose a steady clip without hands or objects passing across the face.
• Keep the source framing close enough for facial details to be visible.

480p, 720p and Scene Match: different choices

Use 480p to explore a short idea and 720p when you want a larger export. These are the two resolutions listed for the app; do not expect a 1080p or 4K export from this workflow. Scene Match is a separate setting, not a resolution upgrade.

A five-second photo-input draft at 480p uses five credits. The same duration at 720p with Scene Match uses eleven. Describing a character instead of uploading a photo increases those totals by one. Each generation is a separate job, so rendering both versions uses the sum of their credits.

The pricing page separates per-video consumption from the price of a whole credit pack. Its US App Store pack figures should not be treated as Google Play pack prices.

What the recorded example actually shows

The five-second vampire comparison uses a text-described character, 720p and Scene Match. Its app credit equivalent is eleven. Skin, hair and costume changed, but the requested red eyes and fangs did not transfer.

Look at the video in motion, not just its poster. If your goal is a particular person’s face, assess a photo-input result rather than assuming a text-described creature demonstrates identity accuracy. The general tutorial explains the input choices.

Change one thing at a time

1. 1Locate the errorIdentify whether it is blur, a changed facial feature, a jawline error during a turn or a mismatch with the lighting. These problems call for different changes.
2. 2Improve the input firstTry a clearer permitted photo or a less obstructed clip. Keep the duration and settings constant so you can judge the change.
3. 3Compare a setting separatelyFor a resolution comparison, keep the source, character and Scene Match choice the same. For a Scene Match comparison, keep the quality the same.
4. 4Record the result honestlySave both outputs and note their settings and credits. If generation is nondeterministic, a single pair cannot prove that one setting always performs better.

Resolution can make an otherwise good result easier to view at a larger size. It cannot promise a perfect likeness, restore a hidden face or prevent every scene change. Review the completed video before deciding whether another paid attempt is worthwhile.

Follow the iPhone guide or Android guide for the mobile workflow. The official App Store listing describes the app’s quality settings; the examples page distinguishes recorded output from suggested recipes.