A Field Guide to 833 Stable Diffusion Artist Styles

What it does This project packages a personal collection of Stable Diffusion knowledge into a fully offline, browser-based cheat sheet. It catalogs over 833 manually tested artist-inspired styles—each with a preview—so you can search, filter, and copy prompt snippets without opening the model. It also doubles as a drag-and-drop metadata inspector for generated images, letting you extract prompts and parameters without firing up Stable Diffusion.

The interesting bit Everything ships as a flat zip of HTML, CSS, and a little JavaScript: no build step, no backend, no GPU required. The author even provides a stripped-down only-data.html view that surfaces the raw JSON, including artist birth dates and a list of names that were tested but remain unrecognized by the model.

Key highlights

• Over 833 artist styles, each manually tested rather than crowd-sourced
• One-click prompt copying and searchable filtering across the catalog
• Offline image metadata viewer for inspecting generation parameters via drag-and-drop
• Lightweight only-data.html mode exposing biographical details and rejected artist names
• Runs entirely in the browser with no external dependencies once downloaded

Caveats

• The catalog is a static, personal collection, so new styles or model re-renders depend on the author’s time
• Metadata parsing support is borrowed from another viewer; the README does not specify which front-end formats are handled

Verdict Worth downloading if you want a fast, offline prompt reference and metadata lens without launching Stable Diffusion. Less useful if you need a living, community-edited database or batch metadata workflows.