What is Stable Diffusion: An Overview of AI-Driven Text-to-Image Generation

Looking to explore the innovative world of AI image generation? Get started with our introductory overview on Stable Diffusion – a dynamic tool that transforms your text prompts into vivid visual art. Perfect for those just starting their journey, this brief insight presents Stable Diffusion’s essential features in an easily digestible format.

In this preliminary introduction, we offer a basic grasp of what Stable Diffusion can do, accompanied by starter tips for your early experimentation. This is just the kick-off point of our multi-part series, where we will delve into more specific aspects such as prompt building, inpainting, outpainting, and more.


What is Stable Diffusion?

Curious about Stable Diffusion and its dynamic features? Let’s simplify it for better understanding.

Consider Stable Diffusion as a skilled artist to whom you provide a detailed textual prompt — a blueprint for the artwork you envision. Suppose you request the artist, which is Stable Diffusion AI in this case, to illustrate “a happy dog running on a beach” The AI intelligently interprets your request, translating your text into a detailed digital masterpiece.

Stable Diffusion generated image of "a happy dog running on a beach"
SD generated image of “a happy dog running on a beach”

This process, referred to as ‘text-to-image’ or ‘txt2img’ generation, is the foundation of Stable Diffusion. However, its functionalities extend beyond merely creating new images. It can perform various tasks like inpainting, outpainting, and image-to-image (img2img) translations, all guided by a text prompt. This enables you to submit another image for transformation or instruct the AI to modify an existing image.

Introduced in 2022 by the developers from the CompVis Group at Ludwig Maximilian University of Munich and Runway, SD stands out as a remarkable innovation. Its distinctive feature is its open-source nature, eliminating the need to rely on cloud services unlike other proprietary text-to-image models such as DALL-E and Midjourney. Moreover, Stable Diffusion is designed for user-friendliness, operating efficiently on consumer hardware with a moderate GPU and at least 8 GB of VRAM. This technical edge makes it accessible to all, regardless of their expertise level in the AI field.

So, if the world of AI-enabled creativity sparks your interest, Stable Diffusion offers a ground-breaking platform. It empowers you to convert your textual descriptions into photo-realistic or artistic images with optimal computational efficiency.

What Can Stable Diffusion Do?

Stable Diffusion, an exceptional tool in the realm of artificial intelligence, pioneers in generating detailed visuals from simple textual prompts. But that’s just the tip of the iceberg. Its capabilities extend far beyond, making it a useful tool for a multitude of application. Here’s what you can do with Stable Diffusion:

  1. Text-to-Image Generation: At the core of Stable Diffusion is its unique feature of transforming textual descriptions into detailed and visually appealing images. If your interests lie in anime, realism, or fantasy, SD is equipped to cater to a multitude of styles and subjects, thus turning your visions into tangible digital art.
  2. Image-to-Image Transformation: Stable Diffusion possesses the remarkable ability to morph one image into another. This feature, known as image-to-image translation, allows you to either enhance the realism of your artwork or create an entirely new rendition of any image of your liking. With Stable Diffusion, you get an artistic platform unlike any other.
  3. Inpainting: A noteworthy application of Stable Diffusion is within the domain of photo editing, especially in inpainting. Whether you need certain parts of an AI or a real image regenerated or simply want an affordable alternative to popular editing tools like Adobe Photoshop’s generative fill function, Stable Diffusion offers a solution.
  4. Outpainting: One of the most fascinating uses of Stable Diffusion lies in the field of outpainting. This enthralling feature allows you to extend your image beyond its actual boundaries – talk about an instant backdrop or landscape extension!
  5. Fine-tuning for Customizations: While training Stable Diffusion might be exorbitantly expensive, thanks to tools like Dreambooth, you now have fine-tuning at your fingertips. Just add a few images of the subject in a variety of poses or backgrounds, and voila! You can get a plethora of customized, AI-generated suggestions.
  6. Virtual Enhancements for Retail and Interior Design: With the power of Stable Diffusion, the realms of retail and interior design can experience radical transformations. Imagine virtually trying on clothes or visualizing your home in different interior styles; SD brings this to your screen.

In essence, Stable Diffusion stands as a revolutionary tool, bridging the gaps between creativity and technology, and bringing your text prompts and concepts to life with remarkable efficiency. Its vast application scope makes it a highly valuable and versatile enchantment in the world of artificial intelligence.

How to use Stable Diffusion?

You can tap into Stable Diffusion either locally on your own PC, use cloud services, or via other service providers’ web apps. Additionally, some offer limited free daily usage:

1- Web Apps: Ready to Use Platforms

The most accessible route for you to start is by using the cloud-based web apps. These platforms, having similar user interfaces and features, save you the hassle of any downloads or installations.

Here are a few top picks with a detailed comparison of these services, including their pricing plans:

Web AppGuideModels and FeaturesFree TierPricing Plan
DreamStudiosoonBasic25 credits/day
( 30-50 images )
$10/1000 credits
Leonardo AisoonFull150 credits/day
( 150 images )
$12/month
( 8,500 credits )
mage spacesoonFullunlimited
( basic models )
$15/month
( Full access )
dreamlikesoonMedium24 credits/day
( 10 images )
$12/month
( 3,000 credits )
comparison of SD web apps

2- Running Your Own: A Hands-on Experience

If you prefer having more control and are ready for a deeper dive, Stable Diffusion can be run on your personal computers or in the cloud. It is recommended to have a GPU with at least 8GB of VRAM for optimal performance.

Running Stable Diffusion locally gives you the advantage of personalizing the models and features according to your needs. On the other hand, cloud usage, such as through Google Colab and RunDiffusion, harnesses powerful computational capabilities for faster and more intricate image generation.

Whether you’re running locally or on the cloud, the Automatic1111 webui is highly recommended. With its user-friendly interface, it simplifies the entire process, making it a top choice for many users.

Please note that to implement SD locally or on the cloud, a basic understanding of configuring libraries, dependencies, and the model environment is necessary. A step-by-step guide can be found here.

Future of Stable Diffusion and Generative AI

In the rapidly evolving world of AI, SD shines as a beacon of technological creativity. Its potential stretches far beyond what we see today, promising a future where textual thoughts transform into vivid visuals. Whether you’re a hobbyist or a professional, the opportunity to dive deeper, train your own models, or explore other AI image generators like DALL·E 2 and Midjourney awaits you. With platforms like DreamStudio, Midjourney, Leonardo AI, and RunDiffusion, getting started with SD is easier than ever. As we continue to explore the AI landscape, one thing is clear: SD is not just a tool, but a stepping stone into the boundless universe of AI artistry.

If you’re new to the world of Generative AI, explore the resources below to enhance your understanding.