What is Image-to-video?

Image-to-video is a generative AI workflow where a still photo is the starting frame and the model produces a short video clip animating from that frame—either bringing the subject to life (a person speaking, an object moving, a camera panning) or holding the subject and animating only the environment (steam rising from coffee, leaves rustling, light shifting). For UGC production, image-to-video solves the historically hardest problem in AI video: identity drift. Pure text-to-video models often produce convincing single frames that morph into different faces by frame 60; image-to-video locks the source identity by construction, so the person who started the clip is the person who ends it. This makes image-to-video the dominant approach for short-form UGC video built on consistent personas: generate the still first (cheap, fast, easy to re-roll until perfect), then animate the chosen still (more expensive per clip, but identity is already locked). Animate features in ppl.studio, Runway Gen-4, Pika 2, and Luma Dream Machine all follow this pattern.