What do you want to automate

with QStash and fal.ai?

import { axios } from '@pipedream/platform';


export default defineComponent({
  props: {
    qstash: {
      type: "app",
      app: "qstash",
    },
    callback_url: {
      type: "string",
      label: "Callback URL",
      description: "A URL that will be called by QStash with the body given",
    },
    delay: {
      type: "integer",
      label: "Delay",
      description: "Delay the HTTP request to the callback URL (seconds)",
      default: 0,
    }
  },
  async run({steps, $}) {
    return axios($, {
      url: `https://qstash.upstash.io/v2/publish/${this.callback_url}`,
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${this.qstash.$auth.qstash_token}`,
        'Upstash-Delay': `${this.delay}s`
      },
      data: {
        hello: 'world'
      }
    });
  }
})

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;
  },
})