Easy n8n Automation To Access Flux AI - Step-by-Step Tutorial
Takeaways
- 💻 The tutorial teaches how to build an automation in n8n to access Flux AI via the f. API, enabling image and video generation.
- 🔗 The automation uses Airtable to store generated images and videos, with the potential to expand into a content generation powerhouse.
- 👤 The instructor, Kirk, offers a community where members can access his automations for free, network, and get help with building automations.
- 📝 In Airtable, a new base named 'Flux Plus Tool' is created, organized with fields like 'Image ID', 'Prompt', 'Video Orientation', and 'Image' for managing data.
- ⚙️ The 'Image ID' field is set as an auto-number field to uniquely identify each image record, ensuring easy tracking.
- 🎨 The 'Video Orientation' field is a dropdown with options like 'Portrait', 'Landscape', and 'Square', allowing users to specify image orientation.
- 📈 A formula field for 'Aspect Ratio' is created, which dynamically calculates the aspect ratio based on the selected video orientation.
- 🔗 A webhook URL from n8n is used to create a 'Generate' button in Airtable, triggering the automation workflow.
- 🌐 The n8n workflow includes nodes for triggering the process, fetching records from Airtable, making HTTP requests to the f. API, and updating records.
- 🖼️ The final setup allows users to input prompts and orientations in Airtable, click 'Generate', and have images created by Flux AI appear in the database.
Q & A
What is the main purpose of the tutorial?
-The tutorial aims to show how to build an automation in n8n that can access Flux AI via the Flux API, using Airtable to store generated images and videos.
What kind of models can be accessed using Flux AI?
-Flux AI provides access to image generation models and video models like clling Luma, lbs Minimax, and more.
What is the significance of the 'flux Plus tool' in Airtable?
-The 'flux Plus tool' is the name given to the Airtable base used in the tutorial. It is designed to store and manage generated images and videos, and it can be expanded to include more models via the foul API.
How does the 'generate' button in Airtable trigger the n8n workflow?
-The 'generate' button is a webhook URL embedded in a button field in Airtable. When clicked, it sends a request to the n8n webhook, triggering the workflow.
What is the role of the 'record ID' in the automation process?
-The 'record ID' is a unique identifier for each record in Airtable. It is passed to n8n via the webhook, allowing n8n to fetch the specific record and process it.
How is the 'flux realism image size' parameter used in the HTTP request node?
-The 'flux realism image size' parameter is dynamically inserted into the HTTP request body. It specifies the size of the image to be generated based on the selected orientation in Airtable.
What is the purpose of the 'wait' node in the n8n workflow?
-The 'wait' node is used to pause the workflow for a specified time (20 seconds in the tutorial) to ensure that the image generation process in Flux AI has enough time to complete.
How does the 'respond to webhook' node work in the workflow?
-The 'respond to webhook' node is used to send a response back to the webhook trigger. In this case, it sends a simple script that closes the popup window in Airtable after the 'generate' button is clicked.
What is the significance of the 'edit fields' node in the workflow?
-The 'edit fields' node is used to format the image URL received from Flux AI. It ensures that the URL is in the correct format to be added to the Airtable attachment field.
How can the automation be expanded to include more models from Flux AI?
-The automation can be expanded by modifying the HTTP request node to include different models from Flux AI. This can be done by changing the parameters in the request body or by setting up a dropdown in Airtable to select different models.
Outlines
- 00:00
😀 Introduction to Building an Automation with n8n and Airtable
The video begins with an introduction to building an automation using n8n to access the Flux API for image and video generation. The creator, Kirk, explains that this automation will use Airtable to store generated images and videos and mentions the potential for expansion. He invites viewers to join his community for access to resources and support. Kirk then demonstrates setting up a new Airtable base, customizing fields such as image ID, prompt, video orientation, and aspect ratio, and creating a unique icon for the base. He shows how to use formula fields to dynamically calculate aspect ratios based on video orientation and sets up an auto-number field for image IDs.
- 05:00
🛠️ Setting Up Airtable Fields and Testing the Workflow
Kirk continues by creating additional fields in Airtable, including a formula field for the Flux realism image size, which is necessary for the Flux API. He sets up an attachment field for images, a created time field, and a record ID formula field. After setting up these fields, he creates a button field named 'generate' that triggers an n8n workflow using a webhook URL. Kirk tests the workflow by clicking the 'generate' button, which sends a request to n8n, and demonstrates how to view the workflow execution in n8n. He also shows how to clean up the Airtable view by hiding unnecessary formula fields and creating a new grid view for all data.
- 10:02
🔗 Connecting Airtable to n8n and Fetching Data
This paragraph details the process of connecting Airtable to n8n and fetching data. Kirk explains how to create a personal access token in Airtable with specific scopes required for n8n. He demonstrates how to set up the credential in n8n and use the Airtable node to fetch a record based on the record ID passed from the webhook. He shows how to map the record ID from the webhook to the Airtable node and test the connection to ensure data is correctly retrieved from Airtable.
- 15:03
🌐 Setting Up the HTTP Request Node for Flux API
Kirk sets up an HTTP request node in n8n to call the Flux API. He explains how to obtain an API key from Flux and configure the HTTP node with the necessary headers and body parameters. He demonstrates how to dynamically insert the prompt and image size from Airtable into the HTTP request using expressions. He tests the HTTP node to ensure it successfully generates an image based on the prompt and shows how to view the generated image in the Flux dashboard.
- 20:04
🔗 Completing the Automation Chain and Updating Airtable
In this paragraph, Kirk completes the automation chain by adding a wait node to ensure the image generation process has enough time to complete. He then sets up another HTTP request node to fetch the generated image from Flux and an edit fields node to format the image URL for Airtable. Finally, he uses an Airtable node to update the record with the generated image URL, allowing the image to be viewed directly in Airtable. He tests the entire workflow to ensure it functions correctly.
- 25:07
🎉 Finalizing the Workflow and Creating Views in Airtable
Kirk finalizes the workflow by updating the webhook URL to a production URL and testing the entire automation process from Airtable. He demonstrates how to create a gallery view in Airtable to display the generated images in a user-friendly format. He also provides tips for further customization and expansion of the automation, such as using different Flux models and setting up dropdowns in Airtable for selecting different HTTP requests. He concludes by inviting viewers to join his community for additional resources and support.
- 30:11
🎵 Closing Music and Applause
The video ends with background music and applause, signaling the completion of the tutorial. This segment provides a pleasant conclusion to the video, leaving viewers with a sense of accomplishment and encouragement to explore the automation further.
Mindmap
Keywords
💡n8n
n8n is an open-source automation tool that allows users to create workflows to automate various tasks. In the context of this video, n8n is used to build an automation that connects to the Flux API and Airtable. For example, the presenter sets up an n8n workflow to trigger image generation using Flux and stores the results in Airtable. It acts as the central platform where different nodes (like webhooks, HTTP requests, and Airtable nodes) are connected to automate the process.
💡Flux API
The Flux API is an interface that provides access to various AI models for image and video generation. In this video, the Flux API is used to generate images based on prompts provided through Airtable. The presenter demonstrates how to set up an HTTP request node in n8n to interact with the Flux API, specifying parameters like image size and orientation. This API is crucial as it enables the automation of image generation tasks using different models like Flux Realism.
💡Airtable
Airtable is a cloud-based database platform that combines the simplicity of a spreadsheet with the power of a database. In this video, Airtable is used to manage and store data related to image generation tasks. The presenter creates a new Airtable base and sets up fields like 'image ID', 'prompt', 'video orientation', and 'image' to organize and store the generated images and their associated data. Airtable serves as the data management system where prompts are entered, and generated images are stored for easy access and organization.
💡Automation
Automation refers to the process of creating systems that can operate independently without human intervention. In this video, the main theme revolves around building an automation using n8n, Flux API, and Airtable. The presenter shows step-by-step how to set up a workflow that triggers image generation based on user input in Airtable and stores the results back in Airtable. This automation reduces manual effort and streamlines the process of generating and managing images.
💡Webhook
A webhook is a way for an app to provide other applications with real-time information. In this video, a webhook is used as a trigger node in the n8n workflow. When the 'generate' button is clicked in Airtable, it sends a request to the webhook URL, which then triggers the n8n workflow. The presenter demonstrates how to set up the webhook in n8n and how to use it to initiate the image generation process. It acts as the starting point of the automation chain.
💡Image Generation
Image generation is the process of creating new images using AI models. In this video, the focus is on using the Flux API to generate images based on prompts provided in Airtable. The presenter shows how to set up the necessary parameters in the n8n workflow to call the Flux API and generate images. For example, the 'prompt' field in Airtable contains the text that describes the desired image, and the Flux API uses this prompt to generate the corresponding image.
💡HTTP Request
An HTTP request is a method used to request data from a server. In this video, HTTP request nodes are used in the n8n workflow to interact with the Flux API. The presenter sets up an HTTP request node to send a POST request to the Flux API with the necessary parameters like the prompt and image size. Another HTTP request node is used to retrieve the generated image from the Flux API. These requests are essential for the automation to communicate with the external API and retrieve the generated images.
💡Record ID
A record ID is a unique identifier for each record in a database. In this video, the record ID is used to keep track of individual image generation tasks in Airtable. When the 'generate' button is clicked, the record ID is passed to the n8n workflow, allowing it to retrieve the specific record and its associated data. The presenter demonstrates how to use the record ID in the n8n workflow to ensure that the correct data is processed and updated in Airtable.
💡Aspect Ratio
Aspect ratio refers to the proportional relationship between an image's width and height. In this video, the aspect ratio is an important parameter for image generation. The presenter sets up a formula field in Airtable to calculate the aspect ratio based on the selected video orientation (portrait, landscape, or square). This calculated aspect ratio is then used in the Flux API request to ensure that the generated image has the correct dimensions.
💡Gallery View
Gallery view is a type of view in Airtable that displays records in a visual format, typically as a grid of images. In this video, the presenter creates a gallery view in Airtable to display the generated images in an organized and visually appealing manner. This view allows users to easily browse and manage the images generated by the automation. It enhances the user experience by providing a clear and structured way to view the results of the image generation process.
Highlights
Step-by-step tutorial on building an n8n automation to access Flux AI via the Foul API.
Using Airtable to store generated images and videos, with potential for expansion into a content generation powerhouse.
Introduction to Kirk, who teaches automation building and offers a community for learning and troubleshooting.
Creating a new Airtable base and organizing it for image generation, including fields like Image ID, Prompt, and Video Orientation.
Setting up an auto-number field in Airtable to uniquely identify each generated image.
Adding formula fields in Airtable to dynamically calculate aspect ratios and Flux realism image sizes.
Creating a button field in Airtable to trigger the automation workflow.
Setting up a webhook in n8n to receive triggers from Airtable.
Connecting Airtable and n8n using an access token with specific scopes for data access and manipulation.
Using the HTTP request node in n8n to call the Flux API for image generation.
Dynamically passing prompts and image size parameters from Airtable to the Flux API.
Adding a wait node in n8n to ensure the image generation process completes before proceeding.
Fetching the generated image from Flux and updating the Airtable record with the image URL.
Creating a gallery view in Airtable to neatly display all generated images.
Activating the n8n workflow for production use and testing the complete automation process.
Offering resources for further learning and expansion of the automation setup.