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Shape Your Vision: Control Midjourney Images with Advanced Multi-Prompting

Apr 29

4 min read

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A Midjourney generated image using Midjourney Automation Suite

Ready to move beyond basic Midjourney prompts? Multi-prompting is a powerful way to get more precise control over the images you create. It lets you tell Midjourney how important different parts of your prompt are. You can adjust the "recipe" of your image. This guide explores techniques to help you get the exact look you want.

Understanding Prompt Weights

In basic multi-prompting, you separate ideas with a double colon [P]::[/P]. For example, [P]a dog :: stained glass :: digital illustration[/P]. By default, Midjourney gives each part an equal weight, meaning each idea contributes about one-third to the final image. You saw this in the early dog examples, where the dog, the stained glass look, and the digital style all clearly showed up.

Advanced multi-prompting uses numbers after the double colon to change how much each part matters. For example, [P]a dog :: 1.5 stained glass :: 2 digital illustration :: 1[/P].

  • Higher numbers make that part more important.

  • Lower numbers make that part less important.

  • No number after the colon means it has a weight of 1.

Look at the images produced when you change weights. A higher weight for "stained glass" makes the stained glass look stronger. A higher weight for "digital illustration" makes the image look much more like a digital painting. By playing with these numbers, you can shift the focus of your image results.

Using Weights for Details and Effects

Weights are very useful for controlling specific details or accents, like colors or textures. Subject and main style are primary parts. But things like "vibrant neon colors" can be adjusted with weights.

For example, [P]a dog :: stained glass :: digital illustration :: vibrant neon colors :: 2[/P]. This tells Midjourney to make the vibrant neon colors twice as important as the other parts (which default to 1). As you see in the results, this brings out strong neon colors.

As prompts get longer, it can be harder for Midjourney to show every detail or make certain parts stand out. Changing weights helps you fix this. You can nudge a detail that isn't showing up or give more importance to a style element.

Finding the right mix of weights takes time and testing. You might try a weight, see the results, and then adjust the weights again to get closer to what you picture. Because this involves many tries, using a tool to help manage your prompts and results can save a lot of effort. Check out the Midjourney Automation Suite from TitanXT to make this process easier.

Negative Prompting with Weights

You can also tell Midjourney what you *don't* want in your image by using negative weights. This is great for removing specific colors or elements that keep showing up.

Add the part you want to avoid at the end of your prompt with a negative weight, like [P]:: pink :: -0.8[/P].

Important rule: The total of all positive weights in your prompt must be higher than the total of your negative weights. You can't put a large negative number if your positive weights are small. If your positive weights add up to 6.3, you can use negative weights like -3 for pink and -3 for purple, because the total (-6) is less than 6.3.

Using negative weights helps you get specific results by pushing unwanted elements away. It might take trying different negative numbers (like -0.8, -2, or -3) and re-rolling your image to see how Midjourney reacts. It's not an exact science, but you can effectively remove things like specific colors this way.

The Slider Method

Sometimes a detail in your prompt just doesn't appear in the image. The slider method helps "nudge" that detail into your result. You take the part that's missing and add it again to the end of your prompt with a smaller weight (like 0.5 to 0.8) after the double colon.

Example prompt: [P]a man in a white suit driving a car, a white tiger growls in the back seat, leather interior, vintage car, movie still[/P]. If the tiger isn't showing up well, you'd change the prompt like this:

a man in a white suit driving a car, a white tiger growls in the back seat, leather interior, vintage car, movie still [P]:: a white tiger growls in the back seat :: 0.7[/P]

Adding the missing detail with a small weight encourages Midjourney to include it more. You might need to try slightly different weights (0.5, 0.7, 0.8) or rephrase the problematic part in the slider section to see what works best.

Getting the right combination of weights, negative prompts, and slider methods often means trying many versions of your prompt. A tool designed to help with Midjourney prompting can significantly speed this up. Learn how the Midjourney Automation Suite from TitanXT can help you experiment faster and find your ideal image.

Beyond Weights: Chaos and Stylize

Midjourney also has other settings like --chaos and --stylize that affect your results. You can use these alongside multi-prompting. However, be aware they can change how well your weight settings work. For example, a very high --stylize value might make the image more artistic but might also reduce the impact of a specific detail you gave a high weight to.

Experimenting with these values in combination with weights gives you many possibilities. A low --chaos value might still create very different images with the same prompt, letting you explore quick variations while keeping your core weighted ideas.

Putting It All Together

Mastering advanced multi-prompting means treating your prompt like a recipe. You adjust the amounts of each ingredient (each part of your prompt) using weights. You can take ingredients out using negative weights. You can emphasize missing ingredients using the slider method. It takes practice and testing, like a chef refining a dish.

Keep trying different weight combinations and re-rolling your images. You'll start to see how Midjourney reacts to the numbers you use. This control helps you move from general ideas to creating images closer to your specific vision.

Apr 29

4 min read

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