Frames to Video is an AI generation workflow that takes a sequence of still images and converts them into a coherent video clip by generating the motion and transitions between the provided frames. Rather than generating video from a text prompt alone, this approach uses images as keyframes that define the visual content at specific points in time, with the AI model synthesizing the motion that connects them.

This workflow is particularly valuable when creators have specific visual targets they want the video to hit at defined moments, such as storyboard frames, concept art, or key poses in an action sequence. By providing these anchor images, the creator maintains control over the visual composition at critical points while allowing the AI to handle the complex task of generating natural, coherent motion between them. The technique bridges the gap between static image generation and full video synthesis, combining the precision of image composition with the temporal dimension of video.

Frames to video workflows are supported by various AI video platforms with different levels of control over timing, motion characteristics, and how closely the generated frames adhere to the provided keyframes. For creators working on projects with specific visual requirements, this approach offers a middle path between fully generative video and traditional frame-by-frame animation.