Video comparison or a single photo strip
The video starts with the source identity, shows the left-based and right-based interpretations, then returns to the familiar face. The point is the contrast, so the transitions should leave enough time to recognize each version. The photo choice places the same idea into one vertical composition: a mirrored interpretation, the original, and the other mirrored interpretation. It is useful when you want viewers to compare without pausing a clip.
An AI model draws the result rather than mechanically copying a column of pixels. Hair strands, moles and fine edges may move, and the intended mirror line can be imperfect. If you need a mathematically exact flip for design or measurement, use an image-editing tool. Choose this template for a stylized social comparison, with the actual outputs below.
What asymmetry versus symmetry is showing
Most ordinary portraits contain visible differences between the two sides: a raised eyebrow, an uneven smile, a hair part or a shadow. Mirroring one side repeats those details and can make them feel more dramatic. It does not follow that the original face is faulty, or that one generated version is a more correct appearance.
The effect provides no numerical score and should not be used to diagnose a condition, judge attractiveness or decide which side of a face needs fixing. A caption can keep the tone curious: ask which version looks least familiar rather than inviting a beauty ranking. Because the model also interprets the image, differences between the outputs are not a reliable measure of your natural facial asymmetry.
The current Smew options are listed below. The photo count belongs to the selected version: an extra person in a single upload is not a substitute for an additional photo slot. The model name describes how the output is made; it does not promise identical faces or motion on every run. Review the selected option and credit total on Create before submitting.
| Choice | Photos | Model | Output | Credits |
|---|
| Video | 1 | Seedance 2.5 | 10 seconds, 9:16, 720p | 126 |
| Photo | 1 | Nano Banana 2.1 | 9:16, 2K | 3 |
Sound varies by choice. Video uses sound generated with the scene, rather than a promised copy of a social-platform recording. Photo uses a still image, without an audio track. A reference clip’s audio is not evidence that every option includes it. Music rights remain with the rights holders.
An AI interpretation is different from a mirror mask
A conventional editor can cut an image at a center line and flip the chosen half directly. That operation preserves the original pixels, even if the seam is visible. Smew’s template instead describes the two mirrored looks to an image or video model. The model has to redraw the face and background, so the result can be visually close without being exact.
You do not need to locate a creator’s prompt or reconstruct a closed editing template. The scene instructions are already included. The important input decision is a level, well-lit face. A better prompt cannot recover an eye hidden by hair or undo severe side lighting; changing the photo is more useful than repeatedly asking the model to infer missing information.
Fix the photo before repeating the comparison
A wide and narrow pair usually begins with a turned head. Unequal brightness often begins with side lighting. If either appears, take a new front-facing selfie rather than treating the output as a discovery about your face. The input itself can create most of the dramatic contrast.
A central seam, altered mole or distorted hairline may be a redraw artifact. Inspect the original and the generated versions together. If the faces barely differ, that is not a failed beauty test; the source may simply have few visible differences, or the model may have softened them. Avoid spending repeatedly in pursuit of a supposedly correct score, because this page does not calculate one.