End Frame is the final image in an AI video generation sequence, used either as a target that the generation process works toward or as the concluding frame of a completed clip. In video-to-video or image-to-video workflows, specifying an end frame allows creators to define both where the video starts and where it should arrive, giving the generation model clear bookends to interpolate between.

This approach is particularly valuable for creating controlled transitions, morphs, or transformations where the creator knows exactly what the final visual state should be. By providing both a start frame and an end frame, the generation system can produce motion and transformation that connects the two images smoothly, rather than generating motion that drifts unpredictably. Some AI video platforms allow users to specify multiple keyframes throughout a sequence, with the end frame functioning as the final anchor point that ensures the video concludes in the intended visual state.

Understanding end frame as a concept helps creators work more strategically with AI video tools, particularly when building sequences that need to connect to other footage or when specific narrative or compositional requirements dictate how a shot must conclude. It shifts video generation from open-ended exploration toward goal-directed output.