When generating images with Midjourney, the most maddening thing isn’t “not knowing how to write prompts,” but that the prompt looks correct yet doesn’t take effect, the style suddenly drifts off, and parameters fight each other. Below, these high-frequency issues are broken down and explained clearly. Troubleshoot step by step, and in most cases you can pinpoint the cause on the spot.
Prompt “not working”: it’s usually a writing or priority issue
In Midjourney, parameters must be placed at the end of the prompt and must start with the half-width “--”. If you copy-pasted a full-width dash or inserted spaces, Midjourney may treat it as plain text. Also, image references (guide images) often strongly affect the result—especially if you drop in multiple reference images at once—making the text prompt seem “useless.”
It’s recommended to run a minimal test first: keep only one core prompt sentence + one key parameter (e.g., aspect ratio). After confirming it takes effect consistently, add items back one by one. This saves more time than stuffing in keywords all at once, and it’s easier to see which part is holding you back.
Style drift, getting “oilier” the more you generate: rein in randomness first
Midjourney’s style drift usually comes from three directions: too many stylistic keywords, randomness set too high, or reference-image weight being too strong. First, cut “artist names / movement terms / lens terms” down to 2–3 at most, and reduce chaos so the composition doesn’t get messy from the start. If you’re using reference images, lower the image weight appropriately to keep it from pulling the overall style off course.
Also note: the same prompt can behave differently across model versions and settings—Midjourney is not a tool that “always reproduces the same aesthetic.” If you want stability, keep the model version and your commonly used parameters as fixed as possible, and don’t switch to a different setup every time.
The same prompt turns out different every time: use seed for reproducible comparisons
Midjourney is random by default, so “roughly similar” is the norm. When you need to compare and fine-tune, using the same seed lets you see exactly what impact your change had; otherwise, you might change one word but get thrown off by random composition and misjudge the result. The prerequisite is that you also keep key settings like model version and aspect ratio consistent; otherwise, the seed’s reference value drops sharply.
Parameter conflicts and “I wrote it but it didn’t work”: start by checking compatibility and order
In Midjourney, common “parameter conflicts” don’t show up as errors; instead, some parameters look like they’re included but don’t take effect. Check three things first: (1) are the parameters placed at the end; (2) is the spelling correct (double hyphens, no extra symbols); (3) is the parameter applicable to the current model version—some older parameters are no longer supported in newer versions or have very weak effects.
If you’ve stacked too many parameters at once (aspect ratio, quality, stylize, reference images, negative terms, etc.), it’s recommended to run it in two passes: in the first pass, get the composition right; in the second, refine style and detail. Midjourney’s stability often comes not from “writing more,” but from “writing in steps.”
