Fitness ad extension

Cited / reported data

Extend videos with follow-up shots generated from the ending of an existing clip. How it works: the model reads the last frames of your video — analyzing motion trajectory, visual context, and scene composition — then generates a follow-up segment that picks up seamlessly from where the clip ended. Your text prompt guides what happens next while the model handles visual and temporal continuity. When to use this: a product demo clip that ends too soon and needs 5 more seconds to show the full sequence; a teaching video where the experiment runs longer than the original recording; a social-media clip that needs to hit a platform's minimum duration; any case where reshooting is impractical or expensive but the existing footage needs to be longer. Tips and practical notes: keep extension prompts consistent with the original clip's mood, lighting, and action. If you extend multiple times in sequence, check for gradual drift — re-anchoring from the original clip rather than from a previously extended segment helps maintain quality. The model handles both AI-generated and live-action source footage, though live-action with very complex real-world physics (splashing water, crowd movement) may need more specific prompting.

If a clip feels too short, the model can analyze its ending and generate a follow-up shot from your prompt so the sequence continues more naturally. Multiple extensions can be tested from the same footage instead of rebuilding the clip from scratch.