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Your photo today, the face you will have twenty years from now, then forty, and the video that plays the ageing between the two. The full workflow, no account needed.
Real workflow, real results. Pan and zoom freely.
Use this workflowThe real workflow: the same photo goes through an ageing instruction twice, and the video computes the path from today's portrait to the one at forty years.
At a glance
One photo is enough. It enters the Media node and leaves it twice: one Image node ages it by twenty years, another by forty, each driven by its own instruction. Both portraits sit side by side with the original, and that immediate comparison is the whole point of the canvas.
The result comes down entirely to the lock written into the instruction. Skin, hair and the shape of the jaw change, nothing else: Flux Kontext is an editing model, it retouches your photo instead of inventing a new one. The moment it is allowed to touch the features, the pose or the background, it returns a different old person, believable but a stranger, and you do not recognise yourself.
The video is where the effect really lands: your photo today becomes the first frame, the portrait at forty the last, and Kling V3 computes the ageing between the two. Five seconds in vertical 1080p, ready to publish, for just over a dollar for the whole run.
Import your photo
A sharp face, front on or three quarters, in clear light. The Media node takes a phone photo: what matters is how sharp the face is, not the resolution.
Read the two instructions
They are already written: fine lines, light folds and grey at the temples for the plus twenty; drooping eyelids, age spots and white hair for the plus forty. The second half of each instruction locks everything else, do not delete it.
Generate both portraits
The two Image nodes run in parallel. Compare each render with the original right next to it: if the person has changed nose or hairstyle, the lock is what needs reinforcing, not the model that needs swapping.
Run the ageing video
Your photo and the portrait at forty bracket five seconds where the face ages on screen. Native vertical format, so it publishes as is to Reels, Shorts or TikTok.
The same canvas, tuned for different needs: each variation is two or three lines of prompt away.
The plus twenty is often the more unsettling of the two: close enough to be believable, far enough to surprise. Simply unplug the plus forty node, or keep both and use the plus twenty as the video's last frame for a gentler ageing.
The workflow accepts a photo with several faces, as long as the instruction says so: age every person by the same span, without changing positions or clothes. A face at the back, blurred or in profile, will age badly; crop to the two or three people who matter instead.
The question is often that one and nothing else: would white suit me. Cut the instruction down to the hair, fully grey then white while keeping the same cut and the same parting, and leave the skin alone. The render works as a test before an actual trip to the hairdresser.
The same workflow runs backwards: firmer skin, lines erased, fuller hair, a rounder jawline. Keep the second half of the instruction, the part that locks the features, otherwise the model does not make the person younger, it builds a different one.
A generated character works as well as a photo. It is the logical next step after a consistent character: the same figure at three ages, enough to carry a comic or a trailer that spans a life.
The whole workflow is native 9:16, images included. That is deliberate: ageing reads on a face that fills the frame, and a cropped 16:9 cuts off the top of the head, exactly where grey hair shows most.
The model can only age what it sees. On a strict profile it invents the hidden half of the face, and the render stops looking like anyone. Both eyes visible, a sharp face, light that does not wash out the features: the rest follows.
The most common mistake. The list of things not to change reads like padding, and yet it is what makes the result. Without it the model changes the hairstyle, the background and the angle, and returns a generic old person instead of you.
One Image node produces one image. Age this person by twenty then forty years returns a single photo at an undecided age. That is why there are two separate nodes, and it also lets you regenerate just one of them.
Today's photo goes to the image input, the portrait at forty to the end image input. Swapped, they produce a de-ageing, which is a nice effect but not the advertised one. Check both cables before launching the video generation, it is the most expensive step of the workflow.
That is the entire job of the instruction, which explicitly locks the features, the shape of the nose, the eyes, the ears, the hairstyle and the framing. The canvas keeps the original next to the render: the comparison takes one glance, and a render that drifts shows immediately.
Yes, the instruction is yours to rewrite. Reverse what it asks for, firmer skin, fuller hair, lines erased, and keep the second half that locks the rest. That lock is the difference between a younger you and a stranger.
Front on or three quarters, with both eyes visible. A strict profile or a face half in shadow gives the model too little to work from, and it fills the gaps by inventing.
Just over a dollar for both portraits and the five-second 1080p video. The exact price shows on each node before you click, and the two images alone cost a few cents if you do not want the video.
No. Your media stays in your workspace, it is not handed to any training run. That is the difference with most free ageing apps, whose business model is precisely the photo you upload.
Yes, the canvas works on mobile and the photo is taken straight into the Media node. The creating on mobile guide covers the canvas gestures by finger.
A filter applies the same wrinkle mask to everyone, always in the same place. Here the instruction describes the ageing and an editing model applies it to your face, respecting its shape. And you can rewrite it, which no filter allows.
Yes, by editing the instruction, but the render quickly becomes a caricature of an old person rather than a believable projection. Past forty years, chaining two runs of twenty beats asking for sixty at once.
Age your face with AI
Use this workflowFree account, no card required. The workflow opens pre-filled in your canvas.
Flux Kontext
Kling V3
Nano Banana