Follow this practical workflow to choose two source photos, avoid identity mix-ups, and export a widescreen Hotel Lobby video for TikTok or Reels.
10s
10-second widescreen clip
16:9 / 720P
Ready for short-form posts
1
Technical failures are refunded
This guide is designed to help you choose inputs and avoid common identity problems. When you are ready, open the generator, upload two photos, and let the fixed booth prompt handle the scene direction.
Open the generatorChoose one photo for each performer. A front-facing portrait from chest-up or waist-up usually works better than a distant full-body shot. Match the lighting and crop as closely as practical. Remove images with closed eyes, severe blur, masks, sunglasses, or another visible face in the background.
Decide the left and right order before uploading. The first slot becomes the left performer and the second slot becomes the right performer. If the relationship or visual joke depends on a particular arrangement, do not swap the files after generation starts. The internal prompt repeats this role assignment.
Start with two clear, similar portraits because the locked medium-wide camera minimizes identity drift. Generate one test before purchasing a larger pack. Review the first seconds, both faces during gestures, hand movement, and the final frame. If identity slips, replace the weaker source photo and retry.
This is the full process, start to finish.
Start with two portraits that are similar in crop and lighting. Each photo should show one person or pet. A calm front-facing image gives the model a stronger identity reference than a busy group shot or a frame taken during fast motion.
Place the intended left performer first and the right performer second. The generator preserves that assignment in its internal prompt. Files are checked before generation, and technical failures return the consumed video automatically.
Upload two photos and LobbyBooth renders the clip in the background from a fixed orange-booth scene, then shows the live task state with a download action when it finishes.
Every render uses the same widescreen orange booth, so the source photos matter far more than any scene setting. Use separate, well-lit portraits, people or pets, and rely on the fixed camera path for stability. If a result drifts, replacing the weaker photo is usually more effective than adjusting anything else.
The workflow limits the number of variables in each test. Two separate photos establish identity, a fixed booth establishes the scene, and a known model establishes output constraints. When something fails, you can identify whether the issue came from the photo quality, the chosen motion level, or the provider.
Buy the single $4.90 video for one final post, or the three-video or ten-video pack when testing multiple pairs. Purchased videos never expire.
Ready to make your own? Open the hotel lobby ai video generator and turn two photos into a ten-second clip.
One person or pet per photo, facing the camera, evenly lit, no sunglasses and no group shots. Square and portrait crops both work; blurry or heavily filtered photos produce unstable faces.
Uploading takes seconds and the render usually finishes in a few minutes. There is nothing to edit afterwards - the clip arrives finished, with the booth music mixed in.
Check that each photo contains a single subject, and upload them in the order you want them to appear: first photo left, second photo right. The prompt assigns sides explicitly, so mixed-up photos are the usual cause.
