Stable Diffusion 3: What Is It & Why Does It Matter?

What Is It?

Stable diffusion, a product of Stability AI is a deep learning model that can create images from a short text prompt. With the ability to create photorealistic images, Stable Diffusion has been a game changer for various industries around the globe, mainly graphic designing and art.

A diffusion process is applied to an initially noisy image repeatedly until a final image is formed. It takes into account multiple factors during the process, such as:

• Gradients
• Edges
• Text input

The Latest Iteration

Stable Diffusion has just unveiled its latest and greatest model, Stable Diffusion 3. The timing is pretty peculiar, as it was announced just days after Google unveiled Gemini and Open AI introduced Sora, its text-to-video model, to the world.

What Makes It Stand Out?

Stability AI has introduced radical changes to its newest model, including:

• A new diffusion transformer
• Ability to run on 800 million to 8 billion parameters
• Capable of running on a variety of hardware
• Ability to generate accurate text

What It Means For The Industry

Previously, Stable Diffusion could only run on the beefiest of PCs. It required intense GPU power to generate images. But with Stability AI’s aim of democratizing access to such services, it has offered scalability in this release.

Although it may seem like great news for millions of people, it does put hundreds of thousands of jobs at risk. From photography to graphic designing, we can only wait and see how AI replaces even more people!