What Really Influences Your Midjourney Image Results?

Exploring how prompt wording affects the images Midjourney creates can be fun. Does adding commas or changing word order really make a difference? What about special "power words" or using other languages? We ran some tests to find out what works in Midjourney V6.

Understanding these details can help you get better results. And if you're doing lots of experiments or creating many variations, consider using the Midjourney Automation Suite from TitanXT to make your workflow easier.

Testing the Seed Parameter

First, we set a seed number using `prefer suffix`. This helps keep results consistent.

• Using the same prompt with the same seed gives a very similar image.

• However, the images are not exactly identical. There can be small differences, like the eyes in a dog picture.

• Adding something small like an exclamation mark to the prompt *does* change the image outcome, even with the same seed.

So, while a seed creates highly similar results, tiny prompt changes can still lead to variations.

Impact of Punctuation and Word Order

Does adding a comma or changing the order of words change the final picture?

• Adding a comma between parts of the prompt (e.g., "hungry, dog") makes a noticeable change. Commas seem good for separating different ideas.

• Writing the prompt in all capital letters also altered the image. It sometimes shifted the style, like making it look more like a painting.

• Using a dash between words ("hungry-dog") didn't change the image much compared to the comma or capitals test.

• Changing the order of words ("dog hungry" instead of "hungry dog") also resulted in a different image, but the core subject matter stayed similar. It didn't cause a huge shift.

Overall, punctuation like commas and using capitals can affect the image more significantly than just changing word order or adding dashes. They might be useful for fine-tuning or getting slight variations.

Trying "Quality" Power Words

Many people use words like 4K, 8K, HD, or highly detailed to improve image quality. Let's see what happens.

• Adding "4K" or "HD" to a prompt didn't necessarily make the image quality much better.

• Instead, these terms seemed to steer the image style more towards photography. This might be because the training data for these terms is mostly photos.

• Terms like "high quality" and "HDR" (a photography term) also pushed results towards a photographic look.

• The phrase "highly detailed" seemed to do the opposite, adding lots of detail to artistic styles.

• Using "Masterpiece" gave a specific artistic look rather than just increasing detail.

It appears these "quality" words don't just boost detail universally. They often influence the *medium* or *style* Midjourney thinks you want based on how those words are commonly used.

Working with Different Languages

Midjourney is said to be trained mostly on English. We tested prompts translated into other languages.

• Translating a prompt to Japanese resulted in a unique picture. It included elements from the prompt (dogs, birds) but didn't combine them in the same way as expected.

• Italian also produced images with dogs and birds, suggesting it understood some core words.

• Chinese (simplified) results were quite different, with birds only appearing in a small part of one image. Understanding seemed limited.

• German seemed to have slightly better understanding, showing a dog and a bird, although the relationship between them wasn't quite right.

• When using Japanese characters for a different concept ("warrior ready for battle"), the results sometimes leaned towards related cultural ideas like a Samurai. This suggests it might recognize some characters or cultural links.

Using other languages can give unique results, but Midjourney might not understand the prompts as precisely as it does English. It seems to grasp individual concepts better than the full sentence meaning.

The Power of the Shorten Command

The `/shorten` command analyzes your prompt and suggests shorter versions it thinks are just as effective. Let's see how it works.

Starting with a long prompt for an armored warrior at sunset produced a cool image.

Using `/shorten` suggested several shorter prompts.

• Testing the shorter prompts produced images very similar to the original long prompt result.

• Even the shortest suggested prompts were quite close to the original idea.

This shows that many words in a long Midjourney prompt might not be necessary. The `/shorten` command is a useful tool for simplifying your prompts while keeping the main concept.

Managing many different prompts for experiments and variations can get complicated. Tools like the Midjourney Automation Suite can help you keep track and run batches of prompts efficiently.

Using the Describe Command

The `/describe` command allows you to upload an image and get four possible prompts that could create something similar. We tested this with an image of a dog staring at a bird.

We uploaded the image, and Midjourney generated prompts for it.

Imagining the generated prompts produced images that:

• Had the correct main subjects (dogs, birds).

• Often captured the style or color palette of the original image.

• Were similar but not identical to the original image we started with.

• Sometimes introduced variations, like adding a second dog in one case.

The `/describe` function is a great way to get new prompt ideas based on images you like. It helps you see how Midjourney interprets visual information and gives you starting points for new creations.

Conclusion

These experiments show a few key things about Midjourney prompting:

• A seed keeps results very consistent, but minor prompt changes still have an impact.

• Punctuation like commas and capitalizing words can alter the output more than simple word order changes.

• "Quality" words often shift the image style (like towards photography) rather than just boosting detail.

• Midjourney understands other languages to some extent but struggles with precision compared to English.

• The `/shorten` command is effective for simplifying prompts.

• The `/describe` command is useful for generating new prompts from existing images.

Experimenting is key to learning what works best for you. To streamline your creative process and manage complex prompts from tools like Shorten or Describe, check out the Midjourney Automation Suite at TitanXT. It can help you automate and enhance your Midjourney journey.

Did any of these findings surprise you? What other prompt experiments would you like to see? Let us know in the comments below!