Integrate the DeepImage API with the Pipedream Utils API

Setup the DeepImage API trigger to run a workflow which integrates with the Pipedream Utils API. Pipedream's integration platform allows you to integrate DeepImage and Pipedream Utils remarkably fast. Free for developers.

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Popular DeepImage and Pipedream Utils Actions#

Auto Enhance Image with the DeepImage API

Improves the provided image. See the documentation

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Formatting - [Data] Convert JSON to String with the Pipedream Utils API

Convert an object to a JSON format string

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Remove Background with the DeepImage API

Removes the background from the provided image using DeepImage. See the documentation

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Formatting - [Data] Parse JSON with the Pipedream Utils API

Parse a JSON string

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Upscale Image with the DeepImage API

Upscales the provided image using Deep Image. See the documentation

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Connect DeepImage#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    deepimage: {
      type: "app",
      app: "deepimage",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://deep-image.ai/rest_api/me`,
      headers: {
        "content-type": `application/json`,
        "x-api-key": `${this.deepimage.$auth.api_key}`,
      },
    })
  },
})

Overview of Pipedream Utils#

The Pipedream Utils app is a set of pre-built functions that streamline common tasks in your workflows. It acts like a Swiss Army knife for developers, providing essential tools such as format conversion, date manipulation, and text processing. By leveraging these functions, you can reduce the boilerplate code needed for routine operations, speeding up the development of intricate automations. The Helper Functions API can be a game changer when it comes to tasks like parsing dates in user-friendly formats, encoding and decoding data, or generating UUIDs, making them more efficient and less error-prone.

Connect Pipedream Utils#

export default defineComponent({
  props: {
    pipedream_utils: {
      type: "app",
      app: "pipedream_utils",
    }
  },
  async run({steps, $}) {

  },
})

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