Generating realistic images from text prompts is an exceptionally useful capability enabled by recent advances in AI. In this post, we'll compare two of the top text-to-image models available today — hasdx and Stable Diffusion — to better understand their strengths, differences, and ideal use cases.
First, some background. Both hasdx and Stable Diffusion leverage deep learning techniques to generate images that remarkably match text descriptions provided by the user. This makes them invaluable for creators, designers, and businesses who want to quickly ideate visual concepts, create prototyping assets, or produce custom images and media.