with fal.ai and Node?
Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. See the documentation
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
Cancels a request in the queue. This allows you to stop a long-running task if it's no longer needed. See the documentation
Gets the response of a completed request in the queue. This retrieves the results of your asynchronous task. See the documentation
Gets the status of a request in the queue. This allows you to monitor the progress of your asynchronous tasks. See the documentation
import { fal } from "@fal-ai/client"
export default defineComponent({
  props: {
    fal_ai: {
      type: "app",
      app: "fal_ai",
    }
  },
  async run({ steps, $ }) {
    fal.config({
      credentials: `${this.fal_ai.$auth.api_key}`,
    });
    const result = await fal.subscribe("fal-ai/lora", {
      input: {
        model_name: "stabilityai/stable-diffusion-xl-base-1.0",
        prompt:
          "Photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang",
      },
      logs: true,
    });
    return result;
  },
})Develop, run and deploy your Node.js code in Pipedream workflows, using it between no-code steps, with connected accounts, or integrate Data Stores and File Stores
This includes installing NPM packages, within your code without having to manage a package.json file or running npm install.
Below is an example of installing the axios package in a Pipedream Node.js code step. Pipedream imports the axios package, performs the API request, and shares the response with subsequent workflow steps:
// To use previous step data, pass the `steps` object to the run() function
export default defineComponent({
  async run({ steps, $ }) {
    // Return data to use it in future steps
    return steps.trigger.event
  },
})