Integrate the Let's Enhance API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Let's Enhance and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

Try it

Overview of Let's Enhance#

The Let's Enhance API provides a powerful way to upscale and enhance images through AI-driven processes, directly accessible via Pipedream. By using this API, developers can automate the enhancement of images, whether it’s for refining product photos for an e-commerce platform or improving user-generated content for better display across digital mediums. This API's capabilities can be integrated into a myriad of workflows where image quality is paramount.

Connect Let's Enhance#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    let_s_enhance: {
      type: "app",
      app: "let_s_enhance",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.letsenhance.ai/v1.95/op/upscale`,
      headers: {
        "x-api-key": `${this.let_s_enhance.$auth.api_key}`,
      },
      params: {
        url: `https://res-5.cloudinary.com/crunchbase-production/image/upload/c_lpad,f_auto,q_auto:eco/tnorenk8asjwdh1o8iuu`,
      },
    })
  },
})

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}

Start for free — no credit card required

Watch a demo