Most people type 2-3 words into Midjourney and wonder why the output looks like stock photo reject bin material.

Here's what's actually going wrong:

1. No lighting direction.

"A portrait of a woman" vs "A portrait of a woman, soft Rembrandt lighting, golden hour, shallow depth of field." Night and day difference. Lighting is 60% of what makes an AI image look professional.

2. Missing style anchors.

If you don't tell the AI what it should look like, it defaults to generic. Add references: "in the style of editorial Vogue photography" or "hyperrealistic product render, studio lighting, white cyclorama."

3. Forgetting negative prompts.

On Stable Diffusion especially, not using negative prompts means you're leaving quality on the table. Always exclude: blurry, low quality, deformed, watermark.

4. Wrong aspect ratio.

Instagram? 4:5. YouTube thumbnail? 16:9. Print? 3:2. Most people leave it at 1:1 and crop later — which destroys composition.

5. No iteration loop.

The first generation is a draft, not a final. Use variations, upscale selectively, and remix with different seeds.

I built PromptVault™ to solve all of this — 100 prompts across 10 categories, pre-engineered with lighting, style, composition, and platform-specific modifiers already baked in. No guessing required.

Works with Midjourney, DALL·E, Stable Diffusion, and Adobe Firefly.