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Runway

by Runway AI

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Video generation and editing suite aimed at production teams

Pricing
Free tier
What it costs
Limited one-time free credits; paid plans from roughly 15 USD per month
Available on
Web, iOS, Android, API
Category
Video generation

What Runway does

Runway generates video from text, images and reference clips, and wraps that generation in editing tools rather than leaving you with isolated clips. Its model family supports image-to-video, video-to-video restyling, camera direction, motion brushes for animating specific regions, and reference-based consistency so a character or product looks the same across shots. Supporting features include background removal, frame interpolation, inpainting for video, and a timeline for assembling results. It is used in advertising, music video work and previsualisation, and it has been adopted by production companies rather than only by hobbyists. It suits creative teams that need controllable shots and a workflow beyond a single prompt. The limitations are clip length and cost: individual generations are short, extending them compounds any drift in appearance, and credits disappear quickly at higher resolutions, so a finished minute of video takes many attempts and a real budget.

How to use it

Sign up at runwayml.com; a one-time free credit allowance lets you test generation before committing. The most reliable first run is image-to-video rather than text-to-video: generate or upload a still that already has the framing and characters you want, then describe only the motion. That single habit removes most of the frustration people hit early. Add camera controls for pans and pushes, and use the motion brush to move one element while the rest of the frame stays still. Reference images help hold a character across shots, though not perfectly. Assemble clips on the built-in timeline or export and cut them elsewhere. Budgeting is the main trap: credits are consumed per second of output and scale with resolution and model, failed generations still cost, and unlimited generation only appears on higher plans in a slower queue. Plan on generating several takes of each shot and keep resolution low until the motion is right.

Best for

  • ad creative
  • previsualisation
  • music videos
  • motion control shots
  • video restyling

Strengths and limitations

What it does well

  • Strong directional control through camera settings and motion brush.
  • Editing tools sit alongside generation in one workspace.
  • Reference features help keep characters and products consistent.
  • Established with professional production teams.

Where it falls short

  • Clips are short and extending them introduces drift.
  • Credit consumption is high at production settings.
  • Failed generations still consume credits.
text to videoimage to videovideo editingmotion controlvfx

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