This project serves as a comprehensive reference tool for prompt engineering within generative image models. It provides a structured guide for exploring artistic styles, technical parameters, and keyword combinations to assist in achieving specific aesthetic outcomes and consistent visual themes.
The resource distinguishes itself by enabling direct comparisons between different model versions, allowing users to observe how specific keywords and settings influence output quality over time. By organizing visual examples and technical data into a hierarchical taxonomy, it facilitates the iterative testing and refinement of prompts to improve the predictability of generated imagery.
The documentation is maintained as a version-controlled repository and rendered as a static site, featuring a responsive grid layout for browsing collections. It includes a client-side search index that allows for immediate filtering of keywords and parameters without requiring server-side requests.
