Ready-made prompts
Studio portrait
A studio portrait from my photo: soft side light, a plain dark background, natural skin texture, focus on the eyes, waist-up framing.
Sunset photo shoot
An outdoor photo shoot at golden hour: warm backlight, blurred background, a natural unposed stance, full length, film colour rendition.
Business headshot
A business portrait for a CV and social media: neutral light background, a shirt, a calm confident pose, even soft light, looking into the camera.
Portrait in an interior
A portrait in a coffee shop by the window: natural light, a light haze, warm tones, the person looking off to the side, chest-up framing.
Portrait from my own photo
Move the person from the photo into a new scene: warm evening light from a window, a blurred interior behind them, a light smile, chest-up framing. Keep the facial features, age and hairstyle exactly.
Examples created by our users
Why Moleculs.ai
A straightforward way to work with AI
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One balance for every model - no separate plan for each service
Works right in the browser
Nothing to install or configure - open a tab and start
Every AI model in one place
Text, images, video, and music - all under one subscription
Clear, simple interface
Plain wording throughout the product - no guesswork
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What can you learn from the generator?
Curious to peek into the future? AI shows which parental features your child might inherit.
Future child's face
A realistic look at your child's appearance, based on photos of both parents.
Different ages
What the child might look like as a baby, a kid, and a teenager.
Multiple options
Boy or girl — generate several versions to compare.
Family resemblance
See whose features — mom's or dad's — come through stronger.
A gift for loved ones
A surprise for parents-to-be, or a fun experiment with friends.
From old photos
Upload archival photos — the AI works with images of any quality.
How to create a baby photo from parents' photos
- Step 01
Upload the parents' photos
One clear, front-facing, well-lit photo each of mom and dad.
- Step 02
Specify gender and age
Baby, five years old, teenager — state it in your prompt.
- Step 03
Get the portrait
The AI blends both faces into a single child's portrait.
- Step 04
Compare and download
Run it again for another version and pick the one that fits.
What our users say
Real reviews from our Telegram community
Why choose Moleculs.ai
A single access point to different models - without the limits of one aggregator
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with Moleculs.ai it's faster and more cost-effective
with Moleculs.ai you get dozens of models in one subscription, clear limits, and ready-made presets that save time. The tool helps you scale content, work as a team, and automate routine tasks without extra costs. All of it faster, simpler, and cheaper than piecing together separate solutions.
Choose a plan for your needs
Answers to questions
To create an image, enter a text description: what's in it, what style, what colors and mood. The AI interprets the prompt and creates a unique image in 10-30 seconds. The more detailed the description, the more accurate the result.
Try Moleculs.ai right now
Describe your task in a single field - get a finished result in minutes. Moleculs.ai brings together the best AI models for text, images, video, and voice in one interface. Start with a free generation, then upgrade to a subscription to work without limits: create text, scale your content, and switch between models without extra tools.
How AI predicts what your child will look like
The model isn't doing genetics. It picks up features from two uploaded photos — eye shape and set, the line of the nose, the oval of the face, skin and hair tone — and blends them into a face where both people are recognizable. It's a visual blend, not an inheritance calculation: the result answers "what might a child of these two look like," not "what will the child actually look like."
That's exactly how to treat the result: a charming guess worth a smile, not a forecast. Run the same two photos twice and you'll get two different faces — both plausible, because there are genuinely many ways to combine the features.
Why one result isn't enough
A single generated portrait always looks convincing, and that's the trap. Generate four or five and look at them side by side: the features that repeat across variants are the real overlap between the two faces. Everything else, the model filled in on its own.
What affects the quality of the result
Generating a child from parent photos is more sensitive to your source images than to how you phrase the prompt.
- Face straight-on, not tilted. The model has to guess at profile or three-quarter angles, and likeness is the first thing lost.
- Even lighting. A hard shadow across half the face gets read into the result as a facial feature.
- No glasses, masks, or heavy makeup. Anything covering the features either gets copied as-is or replaced with a guess.
- Resolution matters more than recency. A sharp old photo works better than a recent one that's small and blurry.
- Neutral expression. A wide smile changes the shape of the eyes and cheeks, and that reads wrong on a child's face.
Set the age and gender explicitly
"Make a child" defaults to a baby, and likeness barely shows on a baby's face — the features haven't developed yet. It's more useful to ask for an age where the features actually read: five to seven years old, or a teenager. Same with gender: "what would a daughter look like" and "what would a son look like" produce noticeably different results, and it's worth asking for each in a separate run.
How to get likeness, not just "a cute kid"
The most common complaint about these generators is that the result is pretty but looks like a stranger. The reason is almost always the same: by default the model pulls the face toward an averaged prettiness, and individual features dissolve into that average. The fix is in the prompt.
Spell out in words what should carry over: "keep the mother's eye shape and the father's nose," "dark, thick eyebrows like in the second photo," "freckles." The model holds on to a feature you name explicitly far more reliably than one it has to guess from a photo. The same goes the other way — say what shouldn't be there: "no makeup," "no skin retouching," "natural light, not studio."
The second trick is working in iterations. Got a version where you like the nose but not the eyes? Ask for just the eyes to change, keeping everything else. Step-by-step edits get you a far more recognizable result than ten generations from scratch.
How long it takes
Generating a child from parent photos and getting one version takes less than a minute. Getting to a result you'd actually show the parents usually takes fifteen to twenty minutes: three or four runs, picking the best one, two or three detail edits. It goes faster when you've picked your source photos ahead of time and don't have to go hunting for them mid-session.
What else people use this tool for
Beyond the main scenario, the same approach is used to recreate family resemblance across generations: upload a photo of a grandmother as a young woman next to a photo of her granddaughter and see what carried over. Or build a series showing "what will the child look like in the future" — the same face at five, fifteen, and twenty-five. Series like that often end up as a gift for the parents on a holiday.
Limitations worth knowing upfront
The model doesn't work with medical traits and shouldn't be used as anything beyond entertainment. It doesn't guarantee likeness and has nothing to do with actual heredity. One more thing, about other people's photos: don't upload pictures of people who don't know about it — it's their image, not yours.
If the result doesn't look like either parent, the source photos are almost always the reason, not the model: check that both faces are shot straight-on, in even light, at a decent resolution, and try again. Getting it right on the first try is rare — expect three or four runs with some prompt tweaking along the way.
