Diffusion Toolkit is a WPF desktop application for organizing, searching, and browsing AI-generated images. It scans folders for images, extracts generation parameters (prompt, seed, model, CFG, workflow, etc.) from multiple formats (AUTOMATIC1111, ComfyUI, NovelAI, etc.), and stores them in a SQLite database for fast metadata search, filtering, and album management. The application provides a rich thumbnail grid, preview pane, folder/album/tag navigation, and supports videos, external applications integration, and auto‑updating via GitHub releases. Although it demonstrates a depth of domain knowledge and addresses a real need for AI artists, the codebase has notable architectural anti‑patterns (global static service locator, monolithic classes, raw SQL in migrations, large XAML files), is tied to Windows/WPF with no headless component, and uses a forked version of sqlite‑net. The code is actively maintained with frequent commits, but its reusability is limited by tight coupling and lack of an inversion of control container.