Short answer: You can run fal.ai model in fal.ai by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the fal.ai Run fal.ai Model action to a workflow, map its 4 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 ID model_id | string | Required | fal model id |
Prompt prompt | string | Required | Prompt (required) |
Image Size image_size | string | Optional | Image Size |
Num Images num_images | string | Optional | Num Images |
{"model_id": "e.g. fal-ai/flux/schnell, fal-ai/flux-pro/v1.1, fal-ai/runway-gen3","prompt": "{{trigger.prompt}}","image_size": "{{trigger.image_size}}","num_images": "{{trigger.num_images}}"}
{"status": "IN_QUEUE","request_id": "req-abc123","status_url": "https://...","response_url": "https://..."}
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.