I have been building a small photo-to-video product called Burger Window AI. The whole product is one scene: upload a bright, front-facing photo of a person or a pet, and it returns a vertical clip of that subject at a night window, mid-bite, staring at the camera, then the curtain closes.
Product: https://burgerwindowai.com
Why one scene, not a prompt box
General video models ask the user to write a prompt. Most of the people this is for are posting to TikTok, Reels, or Shorts. They already have the photo. They do not want to describe lighting, camera, or timing.
So the generator is a fixed scene, not an open prompt:
- Warm night window.
- A short pause mid-bite.
- A look straight into the camera.
- Curtain close.
- About 12 seconds, vertical MP4.
No prompt writing. The input is the photo.
What the photo has to be
The pipeline is picky about the source frame:
- Front-facing
- Bright enough that the face or the pet is not in shadow
- One clear subject
If the photo is a side profile or a dark room shot, the window scene falls apart because the model has to invent a face it never saw.
What the output is for
The clip is sized for short-form feeds. The beat is simple on purpose: the freeze mid-bite is the hook, the stare is the hold, the curtain is the ending. That is the whole edit. People can post it as-is.
What I am not doing
This is not a general text-to-video studio. One scene, one upload, one MP4. The tradeoff is obvious: you cannot ask it for a different location or a different action. If you want the window scene, that constraint is the product.
If you are building something similar, a narrow scene with a strict photo spec is easier to ship than a prompt box that can do anything and usually does it wrong.
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