Image enhancement powered by AI
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go 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`,
},
})
},
})
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}