fal integration
fal.ai model inference automation
Fal is an inference platform for running generative media models, image, video, and audio, behind one fast API. The NoClick Fal node can run a model synchronously for quick jobs or submit a longer job to Fal's queue, then check request status, pull the finished result, or cancel a request that is still running. It also uploads input files, searches Fal's model catalog, lists requests by endpoint, reports usage, and manages your API keys. Drop it onto the canvas to generate media on a schedule or in response to an event instead of calling the API by hand.
What you can automate with fal
fal operations
Triggers1
Model Run5
Storage1
Platform3
Keys3
Questions
Yes. Use Run Model (Sync) for quick jobs or Submit to Queue for longer ones, then Get Request Status and Get Request Result to track and collect the output. Any trigger, a form, a schedule, or an inbound message, can start the run.
The Fal node authenticates with a Fal API key, which you add once to the node's credentials. If you want to manage keys programmatically, the node can also Create API Key, List API Keys, and Delete API Key from inside a workflow.
Yes. The On Job Completed trigger starts a workflow the moment a Fal request finishes, so you can download the result and route it onward without polling. Pair it with Submit to Queue to fire and then handle each job as it lands.
Use Initiate File Upload to push an input file to Fal, then reference the uploaded file when you Run Model (Sync) or Submit to Queue. This lets image-to-image, upscaling, and video models take real inputs from earlier steps in the workflow.
Yes. Search Models looks through Fal's catalog so you can pick the right endpoint, and Get Usage reports your consumption for spend tracking. List Requests by Endpoint gives you a history of jobs run against a given model.
