Detailed Explanation of Midjourney’s Personalization Model: Train Your Aesthetic for More Consistent Outputs

Midjourney’s newly added “Model Personalization” turns “your aesthetic preferences” into a callable setting, making the same set of prompts more stable across different projects and more like you. This article focuses only on the core logic of this new feature, how to enable it, and how to incorporate it into a reusable image-generation workflow.

What is Midjourney’s personalization model: teaching the model your preferences

The essence of personalization is that Midjourney generates a “style inclination” based on your feedback about which images you prefer. After that, when you generate images in Midjourney, the model will be more inclined to output the compositions, textures, and aesthetic directions you tend to choose.

It’s better at unifying style than at “remembering specific people or assets” for you. If you want to create brand visuals, a poster series, or a consistent illustration style, Midjourney personalization can noticeably save the time you’d otherwise spend repeatedly revising prompts.

How to enable it: two entry points—Web and Discord

After logging in on the Midjourney website, you can find the personalization toggle on the relevant settings page, which will guide you through preference training (usually by choosing/ranking images). After providing a certain amount of preference feedback, the personalization effect will gradually stabilize.

If you’re used to working in Discord, you can also enable the personalization option through the usual settings-command entry (for example, opening the settings panel). No matter where you enable it, the core is to let Midjourney obtain your preference data and apply it to subsequent generations.

How to use it in image generation: lock the prompt first, then turn on personalization

It’s recommended to run two batches in Midjourney using the same prompt: one with personalization off and one with it on. Comparing them will make the differences more obvious. You’ll find the overall vibe becomes more “like you,” but the subject matter is still primarily determined by the prompt.

In real workflows, I recommend using it “by project”: train for a period of time for a certain type of project, then produce a concentrated set of outputs in the same style. This makes the consistency brought by Midjourney personalization more controllable and easier to reproduce.

Tips to strengthen the effect: pair it with Stylize to widen stylistic separation

Personalization isn’t “the stronger the better”—the key is controllability. Under the same prompt, you can test lower and higher Stylize values and observe how much Midjourney amplifies your preferences in details, lighting/shadows, and materials, then decide on the final parameter range.

If you find the style starting to drift, the most effective approach is often not to keep adding more words, but to return to personalization training and provide more preference selections so Midjourney can recalibrate the boundaries of your aesthetic.