Image-to-Video is an AI generation workflow that animates a still image, bringing it to life with motion, camera movement, or transformation while maintaining visual consistency with the source image. It bridges static imagery and video content by using an image as the starting point or keyframe for video generation.

The technique can be used to animate photographs, bring illustrations to life, create motion from concept art, or extend AI-generated images into video sequences. The AI model analyzes the source image to understand its content, depth, and structure, then generates plausible motion, camera movements, or transformations that respect the visual characteristics of the starting frame. Results vary based on the model's capabilities, with some systems producing subtle motion or camera movement while others can generate more dramatic transformations and extended sequences.

Image-to-video is particularly valuable for creators who have strong visual concepts in image form but need video content, or for workflows where still image generation is used for initial exploration before moving into video production. As AI video models continue to improve, image-to-video workflows are becoming more reliable and capable of producing longer, more coherent animated sequences from static starting points.