How to Create Text-Free Images in Midjourney V4 with Prompt Engineering

Are you tired of getting text in your images created in Midjourney V4

The frustration of trying to remove unwanted text can be a thing of the past with prompt engineering!

In this blog post, we’ll explore the effectiveness of prompt engineering in Midjourney V4 and show you side-by-side comparisons so you can see the difference yourself. 

With the help of prompt engineering, you can get clear and concise images without the headache of extra text.

Read more or watching the YouTube video(Recommended)

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What is prompt engineering?

Prompt engineering is the practice of designing and optimizing the prompts or text used in natural language processing (NLP) systems, such as GPT-3 , ChatGPT or AI Images generators like Midjourney or Stable Diffusion. 

The goal of prompt engineering is to create clear and concise prompts that help users understand how to get the output they are seeking from the system or model.

With the rise of Generative AI, prompt engineering could be more and more important going forward.

In designing prompts, it is important to consider factors such as language simplicity, tone, and try to understand how the model interprets your inputs.

Prompt engineering also involves testing and iterating on different versions of prompts to see which ones work best in different contexts and situations.

Prompt engineering is an important aspect of using a NLP system like GPT-3 or Midjourney, as the prompts used can significantly impact the user experience and the overall effectiveness of the system.

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How to get text free images in Midjourney V4?

I have found it very annoying when using Midjourney or other similar image generators to try to get rid of the text that sometimes appears in the images.

To solve this problem, I use a technique called “prompt engineering”.

Instead of using the prompt “logo,” I suggest using a prompt like “brand identification symbol” or “id symbol,” as this is similar to a logo but not the exact same. This helps to avoid the problem of unwanted text.

To show how this technique works, I have provided several examples of logos I created in Midjourney V4 by running a prompt with the words “brand identification symbol” followed by the words “no text” at the end.

For each example, I ran two versions: one with the regular logo prompt and one with the modified prompt. In each case, the modified version of the logo that came from the modified prompt ended up looking much cleaner, easier to use and modify, and more professional.

I also encourage viewers to try different types of prompts to get the result they want, and to use software such as Photoshop to edit or remove unnecessary text from the images.

The Effectiveness of Prompt Engineering in Midjourney V4: Side-by-Side Comparison

Here you can see the difference of applying “prompt engineering” to avoid getting text on our images in Midjourney. This technique is not 100%, but it will most likely help a lot.

Check out some comparisons results here:

Electric Car Company

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Prompt: logo, EV car company, green car, electric Power, white background 

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Prompt: Identification symbol, EV car company, green car, electric Power, white background

Pizza Restaurant

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Prompt: logo, restaurant, Italian Pizza,  white background 

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Prompt: Identification symbol, restaurant,  Pizza, white background,

AI Software Company

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Prompt: logo , software company, Artificial Intelligence,  black and white, white background

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Prompt: Identification symbol , software company, Artificial Intelligence, black and white, white background

Conclusion

Prompt engineering is a powerful tool that can be easily used to create engaging and text-free images with Midjourney V4.

Whether you are creating logos, marketing materials, or any other visuals, prompt engineering is a great way to achieve high-quality results that you can be proud of.

With the help of prompt engineering, you can create images that make a statement and stand out of the crowd. 

Try it out today and start creating better visuals with Midjourney V4.

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