Photo by Paulius Dragunas on Unsplash

Stability AI is an AI company that develops open-source models, such as Stability Diffusion XL, which is capable of generating high-quality, realistic images from text descriptions.
In addition to Stability Diffusion XL, Stability AI also develops other open-source models, such as Stable LM, a suite of language models that can generate text and code.
As of writing this article, they offer an API for their image generation models. In this post, we’ll explore how to seamlessly interact with their API in Laravel using a custom package that I developed.
Before we get started, I encourage you to have a look at their documentation and get an API key.
To get started you have to install the package, you can do so using composer:
composer require thehocinesaad/stability-laravel
Then you will need to add your Stability AI API key to the .env file:
STABILIY_API_KEY=sk-fuYQ3VpweDSPu...
After that, you can start interacting with the API:
$response = Stability::generations()->textToImage(
'stable-diffusion-xl-1024-v1-0',
[
'text_prompts' => [
[
'text' => 'A lighthouse on a cliff',
'weight' => 0.5
],
],
'samples' => 1,
]
);
dd($response['artifacts'][0]['base64']);
// "iVBORw0KGgoAAAANSUhEUgAABAAAAQACAIAAADwf7zUAAM8MmNhQlgAAzwya..."
//// An image encoded in base64.
Here is the resulting image:

If it is necessary, you can add additional HTTP headers (which the API supports) to requests by adding them to the .env file:
STABILIY_ACCEPT_HEADER=image/png
STABILIY_ORGANIZATION=org-123456
STABILIY_CLIENT_ID=my-great-plugin
STABILIY_CLIENT_VERSION=1.2.1
As of the current writing, the package supports all existing Stability AI API endpoints:
- User Account and Balance
- Engines List
- Text-to-Image
- Image-to-Image
- Image-to-Image Upscale
- Image-to-Image Masking
For more usage examples, please visit the GitHub repository of the package.
Feel free to give it a shot and let me know your thoughts, Stability AI gives some free credits for new users so you will have a chance to try it out without worrying about paying any money.
I also developed a version of this package for PHP, here is its GitHub repository..
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