Generating Striking Images with Midjourney: The Secrets of a Great Prompt

Midjourney rewards precision more than creativity of language. Two prompts that describe the same scene can produce wildly different results depending on how the technical parameters are set. This guide covers the controls that consistently separate a usable marketing visual from a discardable one.

Anatomy of a working prompt

A reliable Midjourney prompt generally follows this order: subject, setting, style, lighting, composition, then technical parameters. For example:

"A barista pouring latte art, small independent coffee shop, warm morning light through a window, shallow depth of field, shot on 35mm film --ar 4:5 --style raw

Notice the structure: what's happening, where, how it's lit, how it's framed, and only then the camera or rendering references. Putting style and lighting cues before the subject tends to produce muddier results, since Midjourney weighs earlier terms more heavily.

Lighting is the highest-leverage lever

Of all the descriptive terms available, lighting words move image quality the most. "Golden hour," "soft diffused light," "harsh studio lighting," and "backlit" each produce a distinctly different mood from the same subject and setting. When a generated image feels flat or generic, the fastest fix is almost always adding or changing the lighting descriptor before touching anything else.

Composition and framing terms worth knowing

• "Rule of thirds" or "centered composition" controls where the subject sits in frame.
• "Close-up," "medium shot," "wide shot" control how much of the scene is visible, critical for social assets that get cropped differently across platforms.
• "Negative space" is particularly useful for marketing images that need room for text overlay, specify which side, "negative space on the right," to control where that room appears.

Using image prompts for consistency

Text alone struggles to reproduce an exact product, logo, or brand color consistently across multiple generations. Midjourney's image prompting feature solves this: attach a reference image URL at the start of your prompt, followed by your text description, and the model will blend visual characteristics from the reference into the new generation. This is the most reliable method for keeping a consistent look across a batch of social media visuals, upload one approved reference image and reuse it across every subsequent prompt in the set.

The parameters that matter for marketing work

• --ar 16:9 for presentation slides and blog headers, --ar 4:5 or --ar 1:1 for social feeds, --ar 9:16 for stories and reels.
• --style raw reduces Midjourney's default stylization, producing results closer to a literal photograph, useful when a client wants realism over artistic flair.
• --stylize (or --s) followed by a number from 0 to 1000 controls how much creative liberty the model takes. Lower values stay closer to your literal description; higher values lean more artistic.

A before-and-after worth internalizing

Weak prompt: "a laptop on a desk." Generic, low-information, and the output will look like stock photography filler.

Strong prompt: "a matte black laptop on a minimalist oak desk, morning light from a side window, shallow depth of field, negative space on the left for text overlay, shot on 50mm lens --ar 16:9 --style raw"

The second version answers every question Midjourney would otherwise have to guess at: what kind of laptop, what surface, what light, what focus, and what the image needs to accommodate downstream. That's the entire discipline in one example.

Common mistakes to avoid

Stacking too many stylistic references at once, "cyberpunk, watercolor, minimalist," confuses the model rather than blending the styles cleanly. Pick one visual direction per prompt. Similarly, vague quality boosters like "highly detailed, 8k, masterpiece" do far less than a specific lighting or lens description; Midjourney's more recent models respond better to concrete visual information than to generic superlatives.