fal.ai

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Integrate the fal.ai API with the MySQL API

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

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Add Request to Queue with fal.ai API on New Column from MySQL API
MySQL + fal.ai
 
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Add Request to Queue with fal.ai API on New or Updated Row from MySQL API
MySQL + fal.ai
 
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Add Request to Queue with fal.ai API on New Row (Custom Query) from MySQL API
MySQL + fal.ai
 
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Add Request to Queue with fal.ai API on New Row from MySQL API
MySQL + fal.ai
 
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Add Request to Queue with fal.ai API on New Table from MySQL API
MySQL + fal.ai
 
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New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

 
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New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

 
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New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

 
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New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

 
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New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

 
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Add Request to Queue with the fal.ai API

Adds a request to the queue for asynchronous processing, including specifying a webhook URL for receiving updates. See the documentation.

 
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Execute SQL Query with the MySQL API

Execute a custom MySQL query. See our docs to learn more about working with SQL in Pipedream.

 
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Cancel Request with the fal.ai API

Cancels a request in the queue. This allows you to stop a long-running task if it's no longer needed. See the documentation.

 
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Create Row with the MySQL API

Adds a new row. See the docs here

 
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Get Request Response with the fal.ai API

Gets the response of a completed request in the queue. This retrieves the results of your asynchronous task. See the documentation.

 
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Connect fal.ai

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import { fal } from "@fal-ai/client"

export default defineComponent({
  props: {
    fal_ai: {
      type: "app",
      app: "fal_ai",
    }
  },
  async run({ steps, $ }) {
    fal.config({
      credentials: `${this.fal_ai.$auth.api_key}`,
    });
    const result = await fal.subscribe("fal-ai/lora", {
      input: {
        model_name: "stabilityai/stable-diffusion-xl-base-1.0",
        prompt:
          "Photo of a rhino dressed suit and tie sitting at a table in a bar with a bar stools, award winning photography, Elke vogelsang",
      },
      logs: true,
    });
    return result;
  },
})

Overview of MySQL

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.

Connect MySQL

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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);
  },
});

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

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo