How Stable Diffusion Really Works - Illustrated Version
The article by Jay Alammar titled 'Illustrated Stable Diffusion' explores a modern approach to image generation using neural networks. It discusses key issues related to the stable diffusion algorithm, which allows for the creation of high-quality images based on textual descriptions. The author explains in detail how this model works at a technical level, as well as providing visualizations illustrating the various stages of the process. Furthermore, the significance of training and data used for the model's development, along with its potential applications in fields such as art, advertising, and entertainment, is highlighted. While this technique has many advantages, the author also points out possible limitations and challenges, such as ethics in artificial intelligence and copyright issues that need consideration when utilizing such technologies.