Let's Enhance
Image enhancement powered by AI
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.
Popular Let's Enhance and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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}}