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GitHub repo

View the project on GitHub

Click here to view the full code for this project in our examples repository on GitHub. You can fork it and use it as a starting point for your own project.

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Walkthrough

This video walks through the process of creating this task in a Next.js project.

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Prerequisites

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Task code

This task generates an image from a prompt using Fal.ai.
trigger/fal-ai-image-from-prompt-realtime.ts
import * as fal from "@fal-ai/serverless-client";
import { logger, schemaTask } from "@trigger.dev/sdk";
import { z } from "zod";

export const FalResult = z.object({
  images: z.tuple([z.object({ url: z.string() })]),
});

export const payloadSchema = z.object({
  imageUrl: z.string().url(),
  prompt: z.string(),
});

export const realtimeImageGeneration = schemaTask({
  id: "realtime-image-generation",
  schema: payloadSchema,
  run: async (payload) => {
    const result = await fal.subscribe("fal-ai/flux/dev/image-to-image", {
      input: {
        image_url: payload.imageUrl,
        prompt: payload.prompt,
      },
      onQueueUpdate: (update) => {
        logger.info("Fal.ai processing update", { update });
      },
    });

    const $result = FalResult.parse(result);
    const [{ url: cartoonUrl }] = $result.images;

    return {
      imageUrl: cartoonUrl,
    };
  },
});

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Testing your task

You can test your task by triggering it from the Trigger.dev dashboard. Here’s an example payload: 
{
  "imageUrl": "https://static.vecteezy.com/system/resources/previews/005/857/332/non_2x/funny-portrait-of-cute-corgi-dog-outdoors-free-photo.jpg",
  "prompt": "Dress this dog for Christmas"
}