Midjourney prompts cheatsheet - Commands, properties, image hacks and more

Master the art of AI image generation with Midjourney commands cheatsheet. Incudes commands, properties, image prompt techniques, master guide

Midjourney Cheatsheet Introduction:

Generative art, using AI tools like Midjourney, DALL-E, and Stable Diffusion, has become the go-to resource for many of us in our creative journeys.

In the previous tutorial we learnt about how to generate best midjourney prompts using ChatGPT. In case you missed it you can get it here 50+ Chatgpt prompts for Midjourney - Generative AI art

Midjourney prompt engineering has become a key skill for AI generate art as a freelance artist or professional designer. Whether you’re an AI enthusiast or a creative professional looking to try something new, join us as we explore the exciting possibilities of all in one midjourney prompts cheatsheet - the ultimate resource for anyone looking to overcome creative blocks and stay inspired.

Packed with commands, properties, image hacks, and more, this cheatsheet is your secret weapon for unleashing your creativity and pushing past any obstacle. Whether you’re a writer, artist, or designer, this cheatsheet will help you stay on track and bring your vision to life.

Before jumping into the cheatsheet, don’t miss out this.

600+ Free Midjourney prompts in 20+ categories

Use this cheatsheet as a reference when you engineer your midjourney prompts.

Let’s get started!!

Midjourney Commands List Cheatsheet

Here are the commands that you can run using the / tag.

Midjourney Parameter List Cheatsheet

Basic Parameters

• --aspect or --ar: Change the aspect ratio of a generation. Eg: --ar 2:3
  • --ar 1:1 Default aspect ratio.
  • --ar 5:4 Common frame and print ratio.
  • --ar 3:2 Common in print photography.
  • --ar 7:4 Close to HD TV screens and smartphone screens.
• --chaos <number 0–100>: Change how varied the results will be. Higher values produce more unusual and unexpected generations.
• --no: Negative prompting, remove plants from the image.
• --quality <.25, .5, 1, or 2> or --q <.25, .5, 1, or 2>: How much rendering quality time you want to spend. The default value is 1. Higher values cost more and lower values cost less.
• --seed <integer between 0–4294967295>: The Midjourney bot uses a seed number to create a field of visual noise, like television static, as a starting point to generate the initial image grids. Seed numbers are generated randomly for each image but can be specified with the --seed or --sameseed parameter. Using the same seed number and prompt will produce similar ending images.
• --stop <integer between 10–100>: Use the --stop parameter to finish a Job partway through the process. Stopping a Job at an earlier percentage can create blurrier, less detailed results.
• --style <4a, 4b or 4c>: Switch between versions of the Midjourney Model Version 4
• --stylize <number> or --s <number>: Parameter influences how strongly Midjourney’s default aesthetic style is applied to Jobs.
• --uplight: Use an alternative “light” upscaler when selecting the U buttons. The results are closer to the original grid image. The upscaled image is less detailed and smoother.
• --upbeta: Use an alternative beta upscaler when selecting the U buttons. The results are closer to the original grid image. The upscaled image has significantly fewer added details.

Model Version Parameters

• --niji: An alternative model focused on anime style images.
• --hd: Use an early alternative Model that produces larger, less consistent images. This algorithm may be suitable for abstract and landscape images.
• --test: Use the Midjourney special test model.
• --testp: Use the Midjourney special photography-focused test model.
• --version <1, 2, 3, 4 or 5> or --v <1 2, 3, 4 or 5>: Use an earlier version of the Midjourney algorithm. The current algorithm (V5) is the default setting.

Upscaler Parameters

• --uplight: Use an alternative “light” upscaler when selecting the U buttons. The results are closer to the original grid image. The upscaled image is less detailed and smoother.
• --upbeta: Use an alternative beta upscaler when selecting the U buttons. The results are closer to the original grid image. The upscaled image has significantly fewer added details.
• --upanime: Use an alternative upscaler trained to work with the --niji Midjourney Model.

Other Parameters

• --creative: Modify the test and testp models to be more varied and creative.
• --iw: Sets image prompt weight relative to text weight. The default value is --iw 0.25.
• --sameseed: Seed values create a single large random noise field applied across all images in the initial grid. When --sameseed is specified, all images

Image Generation Cheatsheet

Here are some common styles of image generation and their characteristics:

Conclusion:

In conclusion, generative art and AI tools like Midjourney, DALL-E, and Stable Diffusion can be powerful resources for anyone looking to push past creative blocks and generate fresh ideas. By leveraging the capabilities of these tools, you can create stunning visuals, explore new possibilities, and take your project to new heights. We hope this blog post has inspired you to try new things and explore the exciting possibilities of generative art and AI tools in your creative journey.

If you enjoyed this post, we encourage you to share it with your friends and followers on social media and following us on twitter @thetipseason And if you want to stay up-to-date on the latest trends in generative art and AI, be sure to follow our newsletter for more tips, tricks, and insights. Thanks for reading, and happy creating!