Video Prompting
Video prompting describes scenes that move. Models like Runway Gen-3, Veo, and Sora turn detailed scene descriptions plus motion language into short clips. Effective video prompts specify subject, action, camera movement, lighting, and temporal progression.
How It Works
Describe the subject and environment like an image prompt.
Add the action: what happens and over what duration.
Direct the camera: pan, zoom, orbit, static tripod.
Describe the mood and progression of the scene.
Specify technical: duration, aspect ratio, motion intensity.
Real Example
"A paper boat floating on a rain-soaked street at dusk, neon reflections rippling, slow push-in camera, rain falling steadily, cinematic teal-orange grade, 5-second clip, 16:9, subtle water ripple motion"
Best Practices
- Describe the start and end state of the motion.
- Give camera movement explicitly.
- Use consistent style across a project's clips.
- Keep scenes focused — too many elements blur motion.
Common Mistakes
- Describing a static image and expecting motion.
- Multiple subjects moving independently (confuses models).
- Ignoring consistency for multi-shot sequences.
When to Use Videos
Prompts using Video Prompting
Ready-to-copy examples of this technique in action.
Frequently Asked Questions
When should I use Video Prompting?
Ad creatives, Short-form content, Concept trailers. If your task is more complex or your output is inconsistent, consider combining it with examples or chain-of-thought.
Does Video Prompting work on all AI models?
Most prompting techniques transfer across modern models like ChatGPT, Claude, and Gemini, though results vary. Test the same prompt on two models and keep the best performer.
What is the next technique to learn after Videos?
Based on your related techniques, explore: Image Prompting, Multimodal Prompting.
How do I practice Videos?
Use the prompts above as starting points, then modify one variable at a time. Track which changes improve your results in a prompt library.