The identity flickers
Look for a turn, blur, compression artifact, or obstruction at the same timestamp. Retry with a clearer loop or a reference closer to that angle.
GIF workflow guide
A good GIF face swap survives every frame and the loop seam
A short loop can expose an identity jump again and again. Scout the hardest frame, the transition back to frame one, and the source quality before you commit credits.
Loop scouting
Judge the weakest frame, not the thumbnail
Preview the full animation several times. A clear first frame does not compensate for a profile, a covered face, or a blurred transition later in the loop.
| Loop condition | What to inspect | Best first response |
|---|---|---|
| Stable front or slight turn | Eyes, mouth, jaw, and hairline stay visible | Use this as the representative first test. |
| Fast turn or motion blur | Identity softens or changes during the transition | Choose a slower, clearer source loop when possible. |
| Hands, hair, glasses, or props cross the face | The frame before, during, and after the obstruction | Decide whether that moment is essential before processing. |
| Exposure or color changes | Facial shading pulses while the scene changes | Prefer a loop with steadier light or split unrelated scenes. |
| Last frame returns to first | A visible shape, color, or position jump at the seam | Watch repeated playback, not one linear pass. |
Preflight
A six-step loop preparation workflow
- Confirm the subject: use a target where the intended face is visible through the important frames.
- Trim dead time: remove unused lead-in, repeated holds, and unrelated cuts before upload.
- Inspect at normal speed: mark the fastest turn, strongest blur, deepest shadow, and largest obstruction.
- Check the seam: compare the final frame with the first frame through several complete loops.
- Choose one clear reference: prioritize sharp identity detail and a pose compatible with the dominant target angle.
- Review before scaling: if the source loop already flickers, smears, or loses the face, use a cleaner source rather than expecting generation to recreate missing detail.
Fastest useful test: scrub to the most difficult frame first. If the face is not recognizable there, shorten or replace the loop before processing.
Diagnosis
Map each motion symptom to one input change
The face drifts or changes shape
Reduce abrupt camera movement and large pose differences. Inspect whether the target face becomes too small or leaves the frame.
Edges tear around hair or glasses
Choose a target with cleaner landmark visibility and fewer moving strands, reflections, or objects crossing the face.
Color pulses between frames
Check for exposure changes or colored lighting in the target. A stable scene gives the result fewer lighting conflicts to reconcile.
The loop visibly jumps
Compare the last and first frames. Trim the loop at a more compatible pose or use a source with a deliberate seamless endpoint.
Every frame looks soft
Start from a higher-detail source and avoid repeatedly compressed downloads. Enlarging a tiny GIF does not restore missing facial information.
Use the image quality guide when a problem is visible in one frame, or the video guide for longer clips and scene changes.
Current limits and cost
Know the animation before submission
The current GIF face swap workspace accepts a GIF, MP4, or WebM target up to 100 MB and 30 seconds, plus one face reference image up to 30 MB. Cost is 3 credits per duration second rounded up, with a 10-credit minimum. The amount shown in the live workspace is the final pre-submission reference.
Uploaded and generated media is removed from DeepSwapAI servers within 24 hours. Review the privacy and consent checklist before using or sharing another person's likeness.
How this guide was made
Built from the current GIF workflow and observable frame failures
The DeepSwapAI Product Team mapped the live GIF input formats, limits, duration pricing, and retention behavior to conditions a user can inspect in a loop. The guide does not claim a guaranteed frame-consistency score. Product facts were reviewed on July 13, 2026; see the verification methodology.
Test the hardest loop, not the easiest frame
Choose a short target with visible landmarks, inspect the seam and fastest motion, then confirm the displayed credit estimate before generation.