Video AI Prompts

Cinematic prompts for Kling, Veo and Runway — shots, motion, characters and camera direction.

46+
prompts
5
use cases
3
AI models
Video AI prompts
46
AI models supported
3
Use cases
5
Total library
564+

Search within Video AI only — titles, summaries, use cases, models and tags.

View all 46 prompts

Browse by AI Model

AI models that pair well with Video AI

Open the model hub to see how each one handles this kind of work.

All Prompts

Browse all 46 video ai prompts

Filter by use case, model or difficulty — every prompt in this category, on one page.

Showing 112 of 46 prompts

Character Consistency
Kling

Kling Character Consistency Iterator Prompt

Refines or rewrites an existing draft toward a target tone.

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Character Consistency
Kling

Kling Character Consistency Outline Prompt

Builds a structured outline you can hand to a writer or another model.

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Character Consistency
Kling

Kling Character Consistency Quickstart Prompt

A short, opinionated prompt that gets a great first draft.

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Cinematic Shots
Kling

Kling Cinematic Shots Iterator Prompt

Refines or rewrites an existing draft toward a target tone.

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Cinematic Shots
Kling

Kling Cinematic Shots Outline Prompt

Builds a structured outline you can hand to a writer or another model.

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Cinematic Shots
Kling

Kling Cinematic Shots Quickstart Prompt

A short, opinionated prompt that gets a great first draft.

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Cinematic Shots
Kling

Kling Coffee Commercial Prompt

Slow-motion espresso pour with anamorphic film look.

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Cinematic Shots
Kling

Kling Fashion Runway Prompt

Editorial fashion walk with rim lighting and slow zoom.

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Motion & Effects
Kling

Kling Motion & Effects Iterator Prompt

Refines or rewrites an existing draft toward a target tone.

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Motion & Effects
Kling

Kling Motion & Effects Outline Prompt

Builds a structured outline you can hand to a writer or another model.

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Motion & Effects
Kling

Kling Motion & Effects Quickstart Prompt

A short, opinionated prompt that gets a great first draft.

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Product Videos
Kling

Kling Product Videos Iterator Prompt

Refines or rewrites an existing draft toward a target tone.

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⭐ Editor's Choice

The featured prompt on this page

One prompt we'd ship today. Read why it works, see a preview, and copy it in a click.

Editor's Choice · Tuned for Kling

Kling Coffee Commercial

Why it works · It treats the prompt as a shot spec — subject, action, camera, lens, lighting, pacing — which is how AI video models actually want to be prompted.

Best use case

Best for video ai workflows where slow-motion espresso pour with anamorphic film look.

Expected output

A short cinematic beat ready to stitch into a longer sequence — with consistent character and motion.

Open full prompt

Slow-motion espresso pour with anamorphic film look.

Video AI prompts translate a director's vision into the exact language Kling, Veo and Runway understand: lens, motion, light, mood and pacing.

Each prompt is a complete shot spec — from subject and action to camera, lighting and film stock. Drop one in, swap a few details, and get usable footage in minutes.

If you're new to AI video, start with the cinematic single-shot prompts before moving to multi-shot character consistency.

Editorial

The video ai prompt library, explained

Welcome to the Video AI hub. You'll find 46 video ai prompts organised by use case, ranked by quality and tagged with the AI models that handle each task best. The collection is curated, not generated — every prompt has been written by humans, tested against real workflows and refined based on what actually ships.

These prompts are built for filmmakers, motion designers, social-video creators and brand teams producing AI video at scale. They work across the major AI models — ChatGPT, Claude, Gemini and the leading image and video generators — and they hold up whether you're prompting in a chat window, an editor extension or a workflow tool. Use these for ads, social shorts, product loops, brand stories and concept reels — single shots or stitched sequences.

Why these prompts work: each one starts with a clear role, names the audience or scene, defines the output format and adds 2–3 hard constraints. That structure is what separates a vague AI answer from a usable one. The library is curated so you don't have to test 30 versions of the same prompt to find the one that actually performs — that work is already done.

Expect short cinematic beats with consistent character, motion and lighting — ready to stitch into longer sequences. You'll occasionally want to regenerate or refine, especially the first time you use a prompt with your own context. Treat each prompt as a starting structure: the variables and constraints stay, the topic and tone become yours.

Read each prompt before you copy it. Swap the placeholders for your real audience, product and constraints, and add one or two video-specific details from your own brief. The prompts here are designed to be edited — the more context you bring, the stronger the output.

If you're new to AI prompting in video ai, start with the featured prompts at the top of this page — they're the highest-leverage, lowest-friction picks. From there, drop into the use-case hubs below to find the exact workflow you need.

Prompt Writing Guide

How to write better Video AI prompts

Six habits that consistently produce stronger AI output. Apply them to any prompt on this page.

  1. 1

    Write a shot, not a description

    Think like a director: subject, action, camera move, lens, lighting, pacing. Treat each prompt as a one-line shot spec.

  2. 2

    Define camera movement

    Static, slow dolly in, hand-held tracking, crane up. Camera language is what makes AI video feel cinematic rather than slideshow-ish.

  3. 3

    Lock character and wardrobe

    Repeat the subject's defining details ("the same woman in the red trench coat") across shots so identity holds between cuts.

  4. 4

    Specify pacing

    Slow-motion, real-time, time-lapse. Pacing changes meaning more than any visual tweak.

  5. 5

    Plan transitions

    Match cut, whip pan, smash to black. Stating the transition makes multi-shot sequences feel intentional.

  6. 6

    Iterate on lighting before subject

    Most weak renders are lighting problems, not subject problems. Change the light first and most issues disappear.

Best Practices

Video AI best practices

Apply these in every prompt on this page. Small habits, outsized improvements in output quality.

Treat each prompt as a shot

Subject, action, camera, lens, lighting, pacing. Six elements, one line.

Reuse character details verbatim

Copy-paste the wardrobe and identity description between shots.

Iterate on lighting before subject

Most weak renders are lighting problems. Fix the light first.

Stack short beats

Multiple 4–8s beats outperform one long generation every time.

Avoid These

Common Video AI prompt mistakes

The same handful of mistakes are responsible for most weak AI output. Catch them before you hit send.

  • Describing a still image

    Video needs motion. State what moves, how fast, and where the camera goes.

  • Changing the character between shots

    Identity drift wrecks sequences. Repeat the defining details every time.

  • No pacing direction

    Without speed cues you'll get a default mid-tempo clip every render.

  • Skipping the lens

    Lens choice changes the whole feel. Always specify focal length or shot type.

  • Asking for 30 seconds of action

    Most AI video models excel at 4–8 second beats. Stack short shots instead.

Pro Tips

Advanced prompt patterns

Side-by-side rewrites that show what separates a weak prompt from a great one.

Instead of

A car driving.

Use

Cinematic 6-second shot. A vintage red Porsche 911 drives through a misty mountain pass at dawn. Camera tracks alongside on a low-angle dolly, 35mm lens, slight motion blur, soft golden light breaking through the fog. 16:9.

Why it works: Subject, motion, camera, lens and lighting are pinned.

Instead of

A person dancing.

Use

5-second hand-held shot of a young dancer in a sunlit empty studio, slow rotation, white tank top, 50mm lens, soft side window light, real-time pacing. Hand-held shake should be subtle.

Why it works: Shot length, lens and camera behaviour are explicit.

Instead of

Aerial city shot.

Use

8-second drone shot, slow forward push over Manhattan at blue hour, 24mm lens, lights of the city beginning to glow, soft haze, cinematic 2.39:1 letterbox, photoreal.

Why it works: Time of day, lens and aspect ratio shape the look.

Instead of

A product video.

Use

4-second studio shot of a matte black smartwatch rotating slowly on a turntable, soft top key light, subtle rim light, 85mm macro lens, sharp focus on the dial, white seamless background, 1:1.

Why it works: Camera move and lighting setup keep the focus on product.

Instead of

A cinematic scene.

Use

10-second locked-off shot, two characters facing each other across a small wooden table in a dimly lit diner, single overhead pendant light, 35mm lens, anamorphic flare, slow zoom in, moody jazz lighting.

Why it works: Stationary camera + slow push communicates tension.

FAQ

Video AI prompts, answered

Common questions about using this category of prompts.

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