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LearnAI · AI 2027

AI Image Prompts: The Formula and Examples

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AI can draw anything — but it produces mush if you describe the picture in two words. The difference between a random result and the shot you wanted is almost always in the prompt. Let's break down a working formula and structure so you get images you envisioned, not ones the model guessed at.

What a good prompt is made of

An image prompt isn't one word — it's a description of a scene. A strong request answers several questions: what's shown, in what style, under what light, from what angle, and with what details. The more specifically you answer, the closer the result to your vision. A vague "a beautiful city" leaves everything to the model; a detailed description sets its boundaries. Learn to think like the director of a shot, not like a search bar.

A working prompt formula

Keep a simple structure in mind: subject and action, then style, then light and atmosphere, then composition and angle, then details and quality. For example: an elderly fisherman mends a net, oil-painting style, soft morning light, a side close-up, a weathered face, warm tones. By changing one block at a time you learn what affects what. This formula isn't a strict rule but a frame that saves you from chaotic trial and error.

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Negative prompts: what to remove

Sometimes it's more important to say what you don't want to see. Many tools support a negative prompt — a list of things to exclude: extra fingers, distorted faces, text on the image, blur, watermarks. It noticeably raises the share of good shots, especially with people. If the tool has no separate field, add the ban right in the request with the word "no." A small stop-list saves dozens of regenerations and a lot of nerves.

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References, style, and aspect ratio

To land the look you want, name a specific style, era, technique, or mood instead of a vague "nice." Set the aspect ratio to the task: vertical for stories, horizontal for a cover, square for an avatar. Specify the level of detail and the framing — close, medium, wide. If the tool accepts a reference image, use it to set composition or palette. Repeatability comes when you lock in the wordings that worked and reuse them.

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How to level up your prompts quickly

Mastery comes not from memorizing "magic words" but from understanding how the model reads a request. Change one block at a time, save the prompts that worked into a personal library, and analyze why one variant worked and another didn't. It's the systematic approach that separates those who get consistent results from those who spin the roulette. This is more logically learned in guided practice than by collecting random forum tips.

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Frequently asked questions

Why does AI draw something other than what I ask?

Most often the request is too general and the model fills in the details itself. Add style, light, and composition, and remove the excess with a negative prompt. Specificity almost always solves the problem.

Do I have to write prompts in English?

Many tools understand requests in different languages, but quality can vary. If the result is weak, try rephrasing or translating the key words. The structure of the request matters more than the language itself.

What is a negative prompt?

It's a list of what to exclude from the image: artifacts, extra details, text, distortions. It helps cut typical generation errors and raises the share of good shots, especially when drawing people.