Vidu AI

This is the feature Vidu built its name on. Users upload images of people, objects, or places, then describe what should happen, and the model keeps each subject recognizable as the camera moves. The company pushed the limit to several simultaneous references, which covers the cast, wardrobe, and set of a short scene. In practice it means a character who appears in shot one looks like the same character in shot five, a problem that older image-to-video tools handled poorly.

For simpler jobs, Vidu works like most AI video generators. A text prompt alone can produce a clip, and a single image can be animated into motion. Output supports common aspect ratios and resolutions, so the same prompt can feed a vertical social clip or a wider shot.

The model understands common camera language such as push, pull, pan, and tracking shots, so a prompt can ask for a specific move rather than leaving framing to chance. This is aimed at creators who think in shots and want the generator to follow their intent instead of improvising.

Short clips are the norm for AI video, and Vidu counters that with an extension feature that stretches a generation toward longer runtimes. It keeps the subject and look consistent as the clip grows, which makes it possible to build a scene from a short seed rather than trying to force everything into one pass.

Speed is a stated part of the value: the team has pushed inference into the seconds. The platform also runs an off-peak mode where generation during quiet hours isn't counted against credits, which gives heavy users a way to keep working without burning through a plan.

Alongside video, Vidu offers text-to-image and reference-to-image, with high-resolution output. The companion app reframes the tool as a place to create and share, not just render, so finished clips can be posted and interacted with inside the same product.