MySQL is an open-source relational database management system.
Emit new event when the generation status of an image gets updated.
Emit new event when you add or modify a new row in a table. See the docs here
Emit new event when new rows are returned from a custom query. See the docs here
Allows user to purchase an image and receive a direct public link. User must have sufficient credit balance. See the documentation
Generates advanced customized images using a prompt from the user. See the documentation
The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.
import mysql from '@pipedream/mysql';
export default defineComponent({
props: {
mysql,
},
async run({steps, $}) {
// Component source code:
// https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql
const queryObj = {
sql: "SELECT NOW()",
values: [], // Ignored since query does not contain placeholders
};
return await this.mysql.executeQuery(queryObj);
},
});
The All-Images.ai API serves as a tool for processing images through AI-driven methods. With this API, you can enhance images, deblur them, remove backgrounds, and much more. All-Images.ai becomes more powerful when integrated into Pipedream’s serverless platform, allowing you to automate image processing in workflows that connect with other apps. You can trigger workflows with HTTP requests, email, and over 800 Pipedream-supported apps. These automations can save time and enhance productivity, especially for tasks involving bulk image processing or real-time image manipulation.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
all_images_ai: {
type: "app",
app: "all_images_ai",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.all-images.ai/v1/credit`,
headers: {
"Accept": `application/json`,
"api-key": `${this.all_images_ai.$auth.api_key}`,
},
})
},
})