Video Prompt Engineering

Why Prompts Matter

In AI video generation, prompts are the main bridge between idea and final output. Clear, structured descriptions significantly improve quality and reduce failed attempts.

Structured Prompt Framework

Organize your description in this order:

1. Subject

Define "who" or "what" is the visual focus.

✅ An orange cat
✅ A young woman in a red dress
❌ A person (too vague)

2. Action

Describe what the subject is doing and how they move. Actions should be specific and visualizable.

✅ Walks slowly to the window, reaches out and pushes it open
✅ Types quickly on a keyboard, occasionally looks up to think
❌ Does many things (too generic)

3. Environment

Describe the scene, lighting, weather, time of day.

✅ Morning café, warm yellow light, rain outside
✅ Modern office, floor-to-ceiling windows, city skyline in background

4. Style

Define visual style, camera feel, and reference type.

✅ Cinematic, shallow depth of field, warm tones
✅ Ghibli-style animation, soft strokes, natural light
✅ Documentary style, handheld, natural light

Complete Example

[Subject] An orange cat
[Action] Curled on a windowsill napping, ears twitch occasionally, tail sways gently
[Environment] Afternoon sun through blinds, indoor plants, blurred street visible outside
[Style] Cinematic, shallow depth of field, warm tones, 4K quality

Advanced Techniques

Camera Motion

Specify camera movement in the prompt to add motion:

• Push/pull: Slow push in / pull out
• Pan: Move left to right or right to left
• Fixed: Static camera, only subject moves
• High/low angle: Shot from above or below

Camera slowly pushes from wide shot to cat close-up, with smooth depth-of-field transition

Pacing and Duration

If supported, hint at pacing in the prompt:

Gentle, slow-paced action suited for a 10-second clip

What to Avoid

• Contradictory: "Moving left and right at the same time"
• Over-detailed: Describing details the model can't reliably render
• Abstract: "Full of philosophical meaning" — translate into concrete visuals

Iteration Strategy

First pass: Use a simplified prompt to quickly validate subject and action

Refine: Add environment, lighting, and style step by step

Tweak: Adjust wording based on output; keep what works

Summary

Video prompt engineering centers on: clear subject, specific action, defined environment, tangible style. Using a structured framework and iterating on results helps you generate AI video that matches your expectations more consistently.