No — Luma (Dream Machine) is operational
Get notified when Luma (Dream Machine) goes down
AIWatch Data: Based on AIWatch data from the last 30 days, Luma (Dream Machine) experienced 3 incidents with an average recovery time of 2h 16m. 30-day uptime: 99.99%.
Luma AI's Dream Machine is a generative-video AI (models Ray and UNI-1) that creates and extends video from text and image prompts, via the web app and the Dream Machine API.
AIWatch Insight: AIWatch tracks Luma's status page (Better Stack) — the Dream Machine API, Ray, and UNI-1 surfaces — so an API or model outage is reflected in real time. AIWatch also groups Luma's frequent auto-monitor blips into single rows so the incident history stays readable.
When Luma is down, Dream Machine generations queue or fail and the editor stops rendering, so production pipelines that depend on Luma-generated video stall until it recovers.
This page provides real-time status, 30-day uptime history, and recent incident details — updated every 5 minutes by AIWatch.
Is Luma down right now?
Check the live status indicator at the top of this page. AIWatch monitors Luma (Dream Machine) every 5 minutes and shows real-time operational status.
Is Luma the same as Dream Machine?
Dream Machine is Luma AI's video-generation product (powered by the Ray and UNI-1 models). This page tracks the Luma / Dream Machine status.
Why are my Dream Machine video generations failing?
Failed or stuck generations often indicate an API or model incident even when the app loads. Check this page for active incidents, then verify your API key and credit balance.
What are alternatives to Luma?
Based on current AIWatch data, Runway (Score: 87) and AssemblyAI (Score: 76) are the most reliable alternatives right now. For generative video, Runway is an alternative AIWatch also tracks; Kling and Pika are others. AIWatch shows current availability across the AI stack.
How do I check Luma / Dream Machine status?
You can check status on this page, on the official Luma status page at status.lumalabs.ai, or on the AIWatch dashboard at ai-watch.dev.