Upload the two roles
Add one portrait for the workstation host and one for the visitor. Clear, front-facing photos give the model more identity detail across the quick cuts.
Two photos, one prepared studio clip
Upload two clear photos. Render the white-studio workstation trend with both faces swapped.
The White Studio Workstation
White studio, keyboard, laptop, and two fixed roles.
Upload one front-facing photo for the workstation host and one for the visitor. The template keeps the white studio, keyboard, laptop, camera cuts, and motion.
Your two photos replace the workstation host and the visitor while the white studio, desk, camera cuts, and movement stay intact.
No prompt writing, no studio booking, and no timeline editing. The whole workflow stays on this page.
Add one portrait for the workstation host and one for the visitor. Clear, front-facing photos give the model more identity detail across the quick cuts.
Widescreen matches most demo posts, while vertical and square crops are ready for TikTok, Reels, Shorts, and mixed feeds.
The template supplies the white set, props, gestures, and camera rhythm. Check the credit cost, submit the task, then download the result.
The source clip is a quick two-person interaction. One person operates the workstation while the other reacts beside it. Your photos replace both identities, but the furniture, camera cuts, hand gestures, and performance rhythm stay in the same order.
The first upload replaces the person at the keyboard and laptop, the familiar Stromae side of the sketch.
The prepared demo keeps its soundtrack, and the production pipeline supports merging the template audio into the output.
The ratio changes the output canvas. The studio performance and role mapping stay the same.
16:9
Fixed output frame
Auto
Matches the source canvas
1:1
Fixed output frame
9:16
Fixed output frame
Start with the original studio cut, then browse widescreen, vertical, square, reaction, and short-hook edits before rendering your own pair.
The product keeps one clear goal in view: turn two photos into a recognisable two-person studio cut without rebuilding the trend yourself.
Most general AI video tools can generate a couple of people in a bright room, but the Made in Jamel format depends on more than the set. The joke lives in the relationship between the person at the workstation and the person reacting beside them. A prepared template keeps that relationship intact while your two photos replace the familiar faces.
That is why role order matters. If the identities are assigned to the wrong performers, the camera cuts stop making sense. The workstation slot controls the keyboard and laptop. The visitor slot reacts to that action. Keeping the two roles separate also makes the output easier to compare across a batch of posts.
The best Alors on Danse AI tool is the one that removes the fragile setup work. You do not need to source the studio, write a camera prompt, or rebuild the timeline. Choose clear photos, select a format, check the credits, and let the same prepared clip run again with a new pair of faces. See the prompt library or the full guide for the reusable building blocks.
The studio, keyboard, laptop, wide shots, face close-ups, gestures, and timing are prepared. You are not starting from an empty prompt box or guessing camera language.
The generator uses a role-aware production prompt behind the scenes. The public prompt library is there for research, another model, or a custom workflow, not because the website requires it.
The workstation host belongs in the first slot and the visitor belongs in the second. That mapping gives the model a stable rule for every close-up and every reaction shot.
French speakers can read a native page instead of a translated pile of keywords. It covers the same workflow, photo advice, role mapping, and FAQ without forcing English search terms.
A good result usually starts with two focused portraits, the right role order, and realistic expectations about the source motion.
Do not upload a group photo and expect the model to choose. Crop each person separately, keep the face large, and avoid screenshots where the eyes are hidden or the image is heavily compressed.
Glasses, hair, facial hair, earrings, and headwear help the identity stay consistent. If those details change between the upload and the person you care about, the result may feel less recognisable.
The desk operator and the standing visitor produce different gestures. Put the person you want at the keyboard into the workstation slot, and the person reacting beside them into the visitor slot.
An Alors on Danse AI video generator turns the Made in Jamel studio format into a reusable two-photo template. Upload one portrait for the workstation host and one for the visitor, then render the clip with both identities swapped while the white set, keyboard, laptop, desk, camera cuts, and hand gestures stay fixed. The workflow bridges the search terms people use for the trend: Alors on Danse AI prompt, Alors on Danse AI template, Alors on Danse maker, and Alors on Danse AI video generator. You do not need to write a prompt, stage the room, or rebuild the edit. Choose a format, check the credit cost, and download the finished short-form clip.
The prompt library, the full walkthrough, and the French version of the generator.
Answers about the trend, photo inputs, prompt, cost, sound, role mapping, length, and affiliation.
Need help with credits, failed generations, or a paid order? Contact support.
Upload two photos, then choose a subscription or a one-time credit pack.