
Ask for one change only
Change only the expression. Anything broader — make him look happier, improve the photo — invites the model to re-light the face or move the head, and then the edit is obvious.
Upload the photo · Ask for one change · Keep everything else
Almost every group photo has one person who looked away or simply did not smile. This edits that one thing: the mouth softens into a real closed-lip smile and the eyes crease with it, while the skin texture, the hair, the clothes, the light and the background come back untouched. The test is not whether it smiles — it is whether anyone can tell it was edited.
Our own run on this page's model while building it. Drag the divider and look at what did not move: the stubble, the grey t-shirt's fabric texture, the black jeans, the concrete floor, the shadow on the wall. Every output is AI-generated, so your result varies with your photo and your prompt — read this as what the edit can hold.


Drag to compare before and after
It is a targeted expression edit: you upload a photo, ask for a smile, and the model regenerates the mouth and the area around the eyes while matching the original skin, lighting and detail so the rest of the picture is unchanged.
The old way of doing this was a warp — the corners of the mouth got dragged upward, which is why those edits always looked slightly rubbery and never touched the eyes. A generative edit rebuilds the region instead, so it can add the crease at the outer eye and the lift in the cheek that make a smile read as real.
Teeth are where these edits give themselves away: if a toothy result comes back uneven, ask for a closed-lip smile instead, which is both easier for the model and usually more natural in a portrait anyway.
Creative engine
Upload the photo, keep the preset prompt or name the smile you want, pick the shape. The credit estimate shows before you generate and a failed run is refunded automatically (unless it broke the content policy).

Closed-lip and warm, or open and showing teeth. Left unsaid, models default to a broad toothy grin, which is rarely what the photograph needed and almost never what a group shot needed.

Same face, hair, clothing, pose, lighting and background. Naming the constants is what keeps the edit local, and it is the single biggest difference between a believable result and a new person wearing your clothes.
For a smile in motion rather than a still, the laughing face effect animates the whole reaction; if the teeth themselves are the point, the braces filter works on them directly.
Three things the preset already names for you. Replace them by hand only if you are writing your own prompt.

Change only the expression. Anything broader — make him look happier, improve the photo — invites the model to re-light the face or move the head, and then the edit is obvious.
A natural, warm closed-lip smile with a slight crinkle at the eyes. That sentence is doing three jobs: setting the type, keeping the teeth out of it, and asking for the eye movement that makes it read as real.

Keep the exact same face, skin texture, hair, clothing, pose, lighting and background. It feels redundant to write and it is the reason the after frame still looks like the same photograph.
Three cases where reshooting is not an option.

Everybody is fine except one person, and there is no second attempt. Fixing one expression is far less invasive than compositing a face from another frame.

A stiff expression is the most common reason a good headshot gets rejected. A closed-lip smile is the safe register here, and it keeps the shot usable on a profile.
Formal portraits from an era when nobody smiled at cameras. Restore the photo first with old photo restoration, then decide whether the expression should change at all.
What it keeps, where it fails, what a run costs.
It does when the prompt pins the constants — same face, skin texture, hair, clothing, lighting, background. Our own run kept the stubble, the fabric texture of the t-shirt and the shadow on the wall unchanged; the only difference between the two frames on this page is the mouth and eyes.
Yes, and it is the riskier option. Generated teeth are the most common tell in this kind of edit — uneven, too white, or one tooth too many. Ask for it if the photo needs it, and be ready to fall back to a closed-lip smile.
It works, but be specific about who — the person on the left, in the blue shirt. Without that the model may adjust more than one face, and then the edit stops being invisible.
Less well. The edit has to match the surrounding detail, so if there is no detail to match, the regenerated area often comes back sharper than the rest of the face — which reads as fake. Upscale first, then edit.
That is your call, and worth making deliberately. Fixing your own family photo is not the same as altering a picture of someone else for something they did not consent to. The line we draw is a photo that has to stand as evidence — a press image, a legal or medical record. A family group shot is not that.
Free credits come with the account and cover the first attempts. After that each edit costs credits like any image, the estimate for your model and size appears in the generator before you start, and a failed run is refunded automatically (unless it broke the content policy).
Credits are shared across everything Kavel runs. You see the cost before each run, and a failed job is never charged.
What's included
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What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
What's included
Secure checkout by Stripe. Card details never touch our servers.
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Upload the photo, ask for one change, keep everything else. Free credits cover the first tries.