How to Write Better Prompts for AI Image Generators (With Examples)

3 min readImageFree Team
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The single biggest factor in the quality of an AI-generated image is the prompt. Two people can use the same generator and get wildly different results, just by writing the prompt differently. This guide distills what actually works — the patterns that consistently produce useful images, plus the dead-ends to avoid.

The subject–style–context formula

Almost every good prompt has three building blocks:

  1. Subjectwhat is in the image. A person, an object, a scene, an animal, an abstract concept.
  2. Stylehow it looks. Photorealistic, watercolor, anime, flat vector, oil painting, 3D render, etc.
  3. Contextthe rest. Lighting, mood, background, framing, time of day, color palette, composition.

A weak prompt omits one or two of these. A strong prompt addresses all three.

Example: turning a vague prompt into a useful one

Weak: "A cat."

Strong: "A sleepy ginger cat curled up on a velvet armchair, soft window light from the left, shallow depth of field, warm tones, photorealistic."

The strong version answers all three questions: subject (sleepy ginger cat on a velvet armchair), style (photorealistic), context (soft window light, shallow depth of field, warm tones). You don't have to write a paragraph — a short, well-structured sentence often beats a long ramble.

Twelve prompts you can copy and tweak

Social media

E-commerce

Blog and articles

Mood boards and concept art

Portraits

Abstract / decorative

What to avoid

Don't over-explain

If the prompt is two paragraphs long, the model has to balance many constraints and the result is muddy. Tight, focused prompts win. You can always iterate by adding one element at a time.

Don't stuff in style references that fight each other

"Photorealistic anime watercolor" is a contradictory request. Pick one style lane and stay in it. If you want a stylized look with realistic lighting, name the lighting explicitly — "Studio Ghibli style, painted, soft volumetric lighting."

Don't rely on the prompt to fix a bad idea

If the composition would be confusing in any medium (six subjects, no focal point, ambiguous spatial relationships), the model won't magically resolve it. Sketch the idea on paper or describe it in two sentences first. If you can't describe it, you can't prompt it.

Don't repeat the same word hoping it adds weight

Writing "beautiful beautiful beautiful sky" does not make the sky more beautiful. Use one descriptor per attribute.

Iterate, don't restart

The biggest mistake beginners make is regenerating from scratch every time they don't like the result. Instead, edit the prompt to address what went wrong:

Each tweak teaches you how the model responds to specific words, and the process compounds.

Try it

Take one of the twelve prompts above, change exactly one element — the subject, the style, or the context — and see what happens. After a dozen tries, the pattern recognition is intuitive. Open the AI image generator and start experimenting.

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