Image enhancement powered by AI
Write custom Node.js code and use any of the 400k+ npm packages available. Refer to the Pipedream Node docs to learn more.
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.
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`,
},
})
},
})
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
},
})