Runway Prompts

Explore curated prompts optimized for Runway.

Video AI
12 Runway prompts
1 categories • 5 use cases
by Runway
Generate a Runway Prompt

Craft motion and effect prompts optimized for Runway.

Runway prompts
12
Categories covered
1
Use cases
5
Total library
564+

About

About Runway

What Runway is good at and how the prompts on this page are tuned.

Runway is the most flexible AI video toolkit — strong at editing-style workflows, motion graphics and creative effects on top of existing footage.

These prompts are written to slot into a Runway workflow: short, descriptive, and biased toward control rather than generation from scratch.

Use them when you need title sequences, loops, motion graphics or quick creative iterations on a reference clip.

Editorial

The Runway prompt library, explained

This page collects 12 Runway prompts engineered specifically for Runway. Every prompt here has been written, tested and tuned to match how Runway reads instructions, handles structure and responds to constraints — so you get a strong first output without trial-and-error prompting.

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.

Pair this page with the matching category and use-case hubs to see how Runway handles specific workflows like cold email, SEO writing, product copy, debugging or cinematic video. Internal links throughout the page point to the next step.

⭐ 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 Runway

Runway Product Loop

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 runway workflows where seamless 5-second product showcase loop.

Expected output

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

Open full prompt

Seamless 5-second product showcase loop.

Popular Categories

Where Runway shines

Browse prompts by the workflows this model handles best.

Prompt Writing Guide

How to write better Runway 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

Runway 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 Runway 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.

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FAQ

Runway, answered

Common questions about using Runway prompts.

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