Short answer: You can luma dream machine in Luma AI by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Luma AI Luma Dream Machine action to a workflow, map its 6 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.
Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.
| Field | Type | Required | Description |
|---|---|---|---|
Model model | options | Required | Model. Options: Ray 2 (best), Ray 2 Flash, Ray 1.6 |
Prompt prompt | string | Required | Prompt (required) |
Aspect Ratio aspect_ratio | options | Optional | Aspect Ratio. Options: 16:9, 9:16, 1:1 … |
Duration duration | options | Optional | Duration. Options: 5s, 9s |
Resolution resolution | options | Optional | Resolution. Options: 540p, 720p, 1080p |
Loop loop | options | Optional | Loop. Options: No, Yes |
{"model": "{{trigger.model}}","prompt": "{{trigger.prompt}}","aspect_ratio": "{{trigger.aspect_ratio}}","duration": "{{trigger.duration}}","resolution": "{{trigger.resolution}}"}
{"id": "gen-abc123","model": "ray-2","state": "queued","assets": null}
Use these fields in downstream nodes for routing, logging, or error handling.
Any of these apps can fire this action as part of a workflow.