Improve Your Prompts

How to Write Better AI Image Prompts: Midjourney & Stable Diffusion

Getting the right image from AI takes more than just describing what you see. You need to guide the style, lighting, composition, and technical details. This guide shows you the exact framework to write image prompts that work—whether you're using Midjourney, DALL-E, or Stable Diffusion.

Common mistakes to avoid

Too vague on style

Specify the visual style explicitly: 'editorial photo', '3D render', 'watercolor illustration', 'flat design icon'

Forgetting aspect ratio

Always include aspect ratio at the end: --ar 16:9, --ar 4:5, --ar 1:1

No lighting direction

Describe lighting: 'soft diffused light', 'dramatic side lighting', 'golden hour', 'studio lighting'

Conflicting descriptors

Avoid contradictions like 'minimalist detailed scene' or 'bright dark mood'—pick one clear direction

Before & after: Real example

See exactly how to transform a weak prompt into a strong one

Before

"a woman in a park"

Too vague—AI has to guess what you want

After

"Editorial photo of a woman in her 30s reading in a sun-dappled London park, golden hour, shot on 85mm f/1.4, muted warm tones, --ar 3:4"

Specific, clear, ready to use

Why this works:

The strong prompt specifies the style (editorial photo), subject details (woman in her 30s, reading), setting (sun-dappled London park), lighting (golden hour), camera details (85mm f/1.4), color palette (muted warm tones), and aspect ratio. This removes ambiguity and guides the AI toward a specific aesthetic.

The framework: Step by step

Follow this process to write better image generation prompts every time

1

Start with the subject: What's the main focus? (e.g., 'product photography of a water bottle')

2

Add the visual style: Photography, illustration, 3D render, painting? (e.g., 'minimalist product photo')

3

Describe the lighting: Direction, quality, mood (e.g., 'soft overhead lighting, bright and airy')

4

Specify camera or medium: Lens, angle, film type (e.g., 'shot on 50mm lens, shallow depth of field')

5

Set the mood or color palette: Emotional tone, color scheme (e.g., 'warm earthy tones, cozy atmosphere')

6

End with technical parameters: Aspect ratio, version, quality (e.g., '--ar 4:5 --v 6')

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