Queue Inference
A 3-step recipe with fal. We can help you get access.
Recipe · 3 steps
Queue Inference
with fal · Artificial Intelligence Management
Works with AI assistants
Run a generative model through the fal queue and return its output.
- Submit the model-specific input to the named model and capture the request_id returned by the queue.
- Poll the request status until the job leaves the queue and reaches a terminal COMPLETED state. Re-enters itself while still IN_QUEUE or IN_PROGRESS.
- Retrieve the final inference output for the completed request.
What you'll need to have ready
- modelOwner: Owning organization of the model (e.g. "fal-ai").
- modelName: Model identifier (e.g. "flux/schnell").
- input: Model-specific JSON input (prompt, image_url, seed, etc.).
For your developer
Arazzo workflow fal-ai:queue-inference, 3 operations: submitRequest → getRequestStatus → getRequestResult. Specs on APIs.io.