First and Last Frame AI Video Generator

Ordinary image-to-video generation starts from one source image. First-and-last-frame generation adds a second reference for how the shot should finish. That makes it useful when a final composition matters, such as a product settling into position or a camera arriving at a planned view.

The two images guide the model; they are not a promise of pixel-identical video frames. The model can reinterpret texture, small lettering, hands or other fine details. Review the result, especially when exact product marks or a precise match cut matter.

For a restrained transition, use a similar subject scale, camera height and lighting in both images. Give the model enough space around a moving subject. Large jumps in pose, perspective or location ask it to invent more of the intervening action.

Two similar images can support subtle camera movement; two very different images can encourage a visible transformation. Neither guarantees a smooth result. If you need strict geometric interpolation rather than generated motion, this creative video workflow may not match that requirement.

Describe the journey rather than repeating a long list of objects already visible in the pictures. For a product shot, a starting prompt could be: “The camera slowly arcs to the right as the box turns toward the final pose. Keep the background lighting steady.” This is a writing example, not a claim about a tested output.

For a landscape, you might ask for a slow forward camera move with gentle cloud motion. Avoid demanding several cuts, a full orbit and a close-up in one short transition. Keep the first attempt simple, inspect where it differs from your intention, and change one instruction at a time.

This page offers models that support the two-frame workflow. Available durations, image formats, resolutions and other controls can vary. Changing the model can change both the options and the credit estimate, so review the controls after switching.

Generating a clip requires sign-in and sufficient credits. The model selector is not a guarantee of identical quality across models. Upload both inputs and check their order before submitting. If a request cannot be accepted, use the error message to correct the inputs instead of expecting another model to be substituted silently.