What is Prompt Engineering for Video?

Video prompts differ from image prompts because they must describe motion over time, not just a static scene. A strong video prompt typically includes five components: the subject (who or what), the action (what is happening), the setting (where), the camera (how it is framed and moving), and the style (visual aesthetic and mood).

For example, instead of "a dog on a beach", an engineered prompt might read: "A golden retriever running along the shoreline at sunset, kicking up wet sand, slow-motion, wide tracking shot, warm golden-hour lighting, cinematic color grading, shallow depth of field." Each phrase targets a specific aspect of the output.

Temporal cues are uniquely important in video prompts. Phrases like "slowly zooming in", "the camera orbits around", "the subject turns to face the camera" give the model explicit motion instructions. Without these, the model chooses motion randomly, which may not match your intent.

Iteration is central to the process. Most creators generate 3-5 variations, analyze what the model interpreted correctly versus incorrectly, and refine the prompt. Common refinement patterns include: adding specificity where the output was vague, simplifying over-constrained prompts that produced artifacts, and experimenting with style keywords borrowed from photography and cinematography.