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Luma Dream Machine

by Luma AI

Cinematic text- and image-to-video generation.

Video & Avatars Free tier, paid plans for more generations

What is Luma Dream Machine?

Dream Machine, from Luma AI, generates short video clips with notably smooth camera motion and physically plausible movement, from either a text prompt or a starting image. It's aimed at creators who want a cinematic feel without traditional filming.

Key features

  • Text-to-video and image-to-video generation
  • Smooth, physically consistent camera and object motion
  • Keyframe control for guiding a shot's start and end
  • Extend feature for lengthening an existing generated clip
  • Fast turnaround suited to iterative creative exploration

How to get started

  1. Sign up at lumalabs.ai and claim free generation credits
  2. Describe a shot, or upload a starting image
  3. Set keyframes if you want specific start and end points
  4. Generate, then use Extend to lengthen a clip you like

Use cases

  • Cinematic short clips for creative and film projects
  • Turning a single concept image into motion
  • Extending a favorite generated clip into a longer sequence
  • Rapid visual exploration for video concepts

Luma Dream Machine vs. alternatives

ToolHow it compares
Luma Dream MachineCinematic text- and image-to-video generation.
Runwaymore editing tools alongside generation
Klinglonger native clip durations

FAQ

Is Luma Dream Machine free to use?

Luma Dream Machine's plans: Free tier, paid plans for more generations. Pricing and free-tier limits change over time, so check the official site above for the latest details.

What is Luma Dream Machine used for?

Cinematic text- and image-to-video generation.

Who is Luma Dream Machine best for?

Luma Dream Machine is a good fit for cinematic short clips for creative and film projects, or turning a single concept image into motion.

What are the alternatives to Luma Dream Machine?

Commonly compared alternatives include Runway and Kling, see the comparison above for how they differ.

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Last reviewed: 2026-08 · Reviewed by AIKetra editors · How we evaluate tools