# Fix First and Last Frame Drift in AI Video > Troubleshoot first-and-last-frame AI video by aligning the endpoint images, naming the transition, and reviewing each frame before expanding the clip. Published: 2026-09-19T11:00:00Z Updated: 2026-09-19 Canonical URL: https://imaginescenes.com/blog/first-last-frame-ai-video-troubleshooting ## Make the endpoint images agree on what must persist Start and end frames are most useful when they describe the same subject moving through one believable shot. Before uploading, compare the subject silhouette, wardrobe or product shape, light direction, focal length, and camera height. A large unexplained change in several of these details asks the model to solve a cut, a redesign, and a camera move at the same time. Keep the protected details deliberately consistent. If the goal is a product reveal, use the same product, label area, and general scale in both frames. If the goal is a person moving through a scene, keep their identity and wardrobe anchors stable while allowing the location or pose to evolve. ## Describe the bridge, not only the destination The two uploads define where the clip begins and ends. The prompt tells the model how to travel between them. Name one subject action, one environmental movement, and one camera path. A simple bridge such as a slow lateral slide while curtains move in a breeze is easier to evaluate than a paragraph of unrelated cinematic effects. State the element that must not change through the transition. For a product, this might be its silhouette, material, and clear label area. For a character, it might be hairstyle, jacket, and a medium-shot framing. Keep the instruction specific enough to review, rather than using a broad request for consistency. Example direction: > Begin with the uploaded product on pale stone and finish with the same product beside the open window. The camera makes one slow rightward slide while citrus leaves move in a light breeze. Preserve the bottle silhouette, pale green liquid, and clear label area throughout the transition. Do not introduce new products or change the camera height. ## Diagnose drift one visible symptom at a time If the first frame already feels wrong, improve the opening source or reduce the first instruction. If the last frame misses, first inspect whether the endpoint image contains a clear, compatible composition. If the middle breaks, simplify the bridge: remove extra actions, shorten the camera direction, or reduce the number of environmental changes. Do not solve a drift by changing every input together. Keep one endpoint pair while testing a simpler prompt, or keep the prompt while replacing one weak endpoint. This makes each new result evidence for a specific correction. - Subject changes shape: protect the silhouette and reduce competing action. - Camera jumps: match camera height and framing in both endpoint images, then name one path. - Scene changes abruptly: remove unrelated weather, time-of-day, or location instructions. - Finish is unusable: simplify the end-frame composition and preserve a clear area for its intended copy or crop. ## Review the endpoints before judging the spectacle Play the full result and pause at the opening, the last second, and the moment where the subject is most likely to deform. A dramatic middle is not a successful clip if either approved composition no longer works. Check the live model controls and credit estimate in the editor before making the next pass, since available options vary by selected model. When both endpoints hold, refine only the motion that earns the clip: a slower move, a quieter environmental detail, or a cleaner camera path. This is the point to make the result more polished, not the point to overload the brief. - [Use Image to Video Prompt Templates](https://imaginescenes.com/blog/ai-image-to-video-prompt-templates) ## Workflow - [Use Start and End Frame](https://imaginescenes.com/image-to-video?mode=start-end) ## Capability boundaries - Available models, inputs, output settings, and credit costs vary by workflow and provider. - Generated results depend on the selected model and prompt; no particular result is guaranteed. - Use the HTML page for the interactive creation workflow and its current controls.