A few years ago, turning an ordinary photo into a short video meant hours of manual work in a professional editor. Today artificial intelligence does it — in tens of seconds, with no editing skills at all. Here is how it works.
What happens after you upload a photo
When you upload an image, the neural network does not guess the motion at random. First it analyses the frame:
- it locates the figure and its contours;
- it builds a depth map — working out what is closer to the camera and what is further away;
- it identifies the light sources and shadows.
This map is the foundation for everything that follows.
Where the motion comes from
Next, a generative model takes over. Trained on a vast amount of video, it "knows" how objects move naturally. Using the depth map, the model fills in the intermediate frames so the motion looks smooth and physically believable.
The sharper the source photo — good lighting, clear contours — the more convincing the result.
Why it is fast
Processing like this used to take hours on a powerful computer. Modern models run on server-grade GPUs, and all the user has to do is wait for the result — usually under a minute.
Try it yourself
UMBRA is an AI studio right inside Telegram: upload a photo, pick a scenario and get your result in 30–60 seconds. Your first generation is free.