Two photos in · One future baby out · Free credits to start
Upload a photo of each parent and get back a baby who could plausibly belong to both — his brow, her smile, blended into one small face. Made for the question every couple eventually googles at 1am.
A real run from this page's model: the two generated parent portraits on one side, the baby the model blended from them on the other. Drag the divider and trace where each feature came from — the curls, the eye set, the smile. Every output is AI-generated; your baby will look different because your faces do.


Drag to compare before and after
It is a two-photo image tool: you give it one clear photo of each parent, and it generates a new photorealistic baby face that inherits believable features from both. It answers the oldest what-if in every relationship with a picture instead of a guess.
Three kinds of people type this search. Couples — the biggest group by far — who want tonight laugh or a soft way to start a bigger conversation. Friends making a wildly premature wedding-toast slide. And expecting parents who want a face to attach to the wait. The pair-to-baby example on this page is our own run: two parent portraits fed to this page model, with a request for a one-year-old who blends them.
This is the future-family daydream made visible: both faces blended into one small reveal worth saving, sharing and rerunning. The model blends what faces look like, not chromosomes, so run it five times and you get five plausible siblings.
Creative engine
Upload both photos in one request, describe the age you want, and generate — the blend comes back in under a minute.

Both parents go into one generation request, and the result inherits visible features from each side clearly enough that you can trace which came from whom. A single-photo version cannot do that, and it is the whole reason to upload two.

Newborn, one-year-old, five on a beach. The age and the scene are words you choose rather than presets you scroll, and age changes the face far more than any other instruction you can give.
Two uploads and one sentence — the phrasing sets the age and the mood.
Front-facing, decent light, one face per photo. The blend inherits what it can see, so sunglasses hide exactly the feature you most want passed down.

"A one-year-old in soft nursery light" reads very differently from "a five-year-old on a beach". Age, light and framing are yours to set in a sentence.
Treat the first result as one possible child, not the verdict. Rerunning deals a new genetic hand each time — most couples keep the third or fourth.

The same picture doing three different jobs.

The question comes up on its own; now there is a picture instead of a shrug. Fair warning: the result gets saved, sent to mothers, and argued over affectionately — and the aging filter answers the other late-night what-if.

Two friends' photos, one baby, instant chaos. It is the rare AI gag that lands harder the better the blend actually is.
Between the announcement and the first ultrasound photo worth framing, a generated face gives the daydream something to hold onto.
What people ask before uploading two faces.
Both photos go into a single generation request, and the instruction names what to take from each. You can verify it yourself the way our demo does: generate once, then compare the baby's features against each parent — the inheritance is visible, not implied. A random-baby site cannot survive that comparison.
Yes — both live in the sentence, not in a settings panel. "A two-year-old girl with her father's eyes" is a complete, valid instruction. If you leave it open, the model decides, and rerunning re-decides.
No. It blends appearance, not DNA — real inheritance runs through chromosomes the model never sees. Treat it as a very good artist's impression of a plausible child, which is also why every rerun differs: real genetics would too.
A blend runs on credits, and new accounts start with a free grant — enough to generate a few possibilities and choose the face that feels most like yours. The estimate shows in the generator before you commit a run.
Uploaded over HTTPS to run the generation, stored so you can revisit results, never used for advertising or training showcases without consent. Delete them from your history and they are gone. Every output is AI-generated.
That is the honest limit of a two-photo blend: when one face is much sharper, larger or better-lit than the other, the model leans toward the photo it can read best. Matching the two photos in quality and framing is the single best fix — then rerun.
Credits are shared across everything Kavel runs. You see the cost before each run, and a failed job is never charged.
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Two photos, one sentence, one small face that belongs to both of you — and if the result deserves a frame, try the veil on or see yourselves decades on next.