Stable Diffusion uses a variational autoencoder (VAE) to generate detailed images from a caption with only a few words. Unlike prior autoencoder-based diffusion models, Stable Diffusion incorporates a ...

AMD and Stability AI have launched the first Stable Diffusion 3.0 Medium model optimized for BF16 and XDNA 2 NPUs, enabling ...

Discover the benefits of self-hosting AI image generation using Stable Diffusion Web UI, including privacy, flexibility, and zero wait times. Learn how to set up and use this open-source tool for ...

AMD's world's first FP16 Stable Diffusion 3.0 Medium model for image generation is now available for AMD Ryzen AI 300 Series ...

Stability AI’s new Stable Audio platform comprises not one but three neural networks. Its core component is U-Net, a latent diffusion model with 907 million parameters.

Stability AI has released Stable Diffusion 3.5 Large, its most powerful text-to-image generation model to date, and Stable Diffusion 3.5 Large Turbo, with special emphasis on customizability, efficien ...

Stability AI Stable Audio The architecture of Stable Audio consists of a variational autoencoder (VAE), a text encoder, and a U-Net-based conditioned diffusion model. The VAE plays a crucial role ...

Cute AI critters generated by the author using Stable Diffusion on his PC. For comparison's sake, a GeForce RTX 2060 card can draw as much as 200 watts to do the same task in only about half the time.

How to download Stable Diffusion on your Mac Step 1: Make sure your Mac supports Stable Diffusion – there are two important components here. First, you’ll need an M1 or M2 Mac for this ...

Stable Diffusion is a powerful tool, but it needs quite a powerful PC to run it well. Here's what you need to get up and running with this exciting AI.