willwulfken/midjourney-styles-and-keywords-reference — explained in plain English
Analysis updated 2026-06-24
Browse keyword categories to find the right style word before writing a MidJourney image prompt.
Compare example images side by side to choose between similar art styles, mediums, or color palettes.
Look up MidJourney-specific settings like seed values and image weights to reproduce or fine-tune results.
| willwulfken/midjourney-styles-and-keywords-reference | browsersync/browser-sync | infracost/infracost | |
|---|---|---|---|
| Stars | 12,291 | 12,288 | 12,296 |
| Language | — | JavaScript | Go |
| Setup difficulty | easy | easy | moderate |
| Complexity | 1/5 | 2/5 | 3/5 |
| Audience | general | developer | ops devops |
Figures from each repo's GitHub metadata at analysis time.
This is a reference guide for people who use MidJourney, an AI service that generates images from text descriptions. When you give MidJourney a text prompt, the words you choose shape the visual result. Certain words, often called style keywords, consistently push the output toward particular looks: a specific painting medium, a historical art movement, a color palette, a rendering technique, or the style of a named artist. This repository collects and organizes hundreds of those keywords along with example images showing what each one does. The guide is organized into sections by category. Style sections cover themes, design styles, digital aesthetics, drawing and art mediums, specific artists, colors, architecture, clothing, nature, typography, and many more. Each section shows the keyword alongside a generated image so you can see the actual effect before deciding whether to use it. Additional sections cover MidJourney-specific settings like image weights, how to use seed values to reproduce or vary results, and resolution options. The repository also includes observation and research notes from the author's own testing, documenting how MidJourney responds to various inputs across different versions of the model. Pages are organized by MidJourney version so readers can find references relevant to the version they are using. The author is not affiliated with MidJourney, this is an independent community resource put together by a user of the service. The project accepts contributions and has a Discord thread for discussion. It functions as a community-maintained encyclopedia of prompting knowledge for the MidJourney platform rather than a software tool you install or run. The full README is longer than what was shown.
A community reference guide cataloguing hundreds of MidJourney style keywords with example images showing what each word does to AI-generated output, covering art mediums, movements, color palettes, named artists, and model-specific settings.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.