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Tutorial

Automating Image Generation with Stable Diffusion, Make, and Airtable

March 30, 2023•8 min read

In this video, we will explore how to generate dynamic images in bulk using the Stable Diffusion API. We will use Make, Airtable, and Stable Diffusion tools to create images for almost 200 items, which will end being used on dynamic web pages. The aim is to generate 200 dynamic web pages for each item using target keywords to create images.

Video Thumbnail - Automating Image Generation

Overview

We will use the city name coming from the Airtable record and other settings to create a prompt dynamically, which will be used as input configuration in Make. This approach allows us to generate unique, contextual images for each location in our database.

The Workflow

The automation workflow consists of several key components:

Airtable Database: Stores all the city records with relevant metadata and keywords
Make Automation: Orchestrates the entire process, pulling data from Airtable and triggering image generation
Stable Diffusion API: Generates images based on dynamically created prompts
Image Storage: Stores generated images and updates Airtable records with image URLs

Setting Up Airtable

The first step is to structure your Airtable base with all the necessary fields. For this use case, you'll want to include:

City name
Target keywords for SEO
Image prompt template
Image URL (to be populated by the automation)
Generation status

Configuring Make

Make (formerly Integromat) serves as the central hub for this automation. The scenario pulls records from Airtable, constructs the image generation prompts, calls the Stable Diffusion API, and updates the records with the generated image URLs.

Dynamic Prompt Generation

The key to creating contextual images is building dynamic prompts. By combining the city name with your target keywords and descriptive elements, you can generate unique images that are relevant to each specific location.

Stable Diffusion API Integration

The Stable Diffusion API accepts text prompts and returns generated images. By integrating this with Make, you can automate the entire image generation process at scale. Configure the API settings for optimal results, including image dimensions, sampling steps, and guidance scale.

Benefits of This Approach

Scalability: Generate hundreds of images in bulk without manual intervention
Consistency: Maintain a consistent style and quality across all generated images
Cost-effective: Automated workflow reduces manual design time and costs
SEO Optimization: Create unique images for each location or keyword target
Dynamic Updates: Easy to regenerate or update images as needed

Conclusion

Automating image generation with Stable Diffusion, Make, and Airtable opens up new possibilities for creating dynamic, scalable content. This workflow is particularly useful for businesses managing large amounts of location-based content, product catalogs, or any use case requiring unique images at scale.