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Before you start
Read this before generating an AI image
AI image tools do not only react to the object you name. They also interpret visual context: camera angle, composition, lighting, mood, style, background, color palette, level of realism, and output format. A prompt such as “a shoe” leaves too many choices open. A prompt such as “studio product photo of a white running shoe, side view, softbox lighting, clean white background, sharp focus, commercial catalog style” gives the model a much clearer target.
How AI image prompting works
Name the person, object, product, place, or scene first. A prompt such as “a shoe” leaves too many choices open, while “studio product photo of a white running shoe” gives the image model a much clearer target.
Define the style and format: photo, illustration, 3D render, vector logo, cinematic still, infographic, social post, or portrait. Then add composition cues such as close-up, wide shot, centered subject, or top-down view.
Lighting changes the whole mood. Studio lighting feels clean, golden hour feels warm, neon feels futuristic, and soft natural light works well for lifestyle scenes. Keep image text short and ask for readable typography.
Common prompt mistakes
- Being too vague: “make it beautiful” is less helpful than naming the subject, style, lighting, and format.
- Mixing too many styles: “photorealistic watercolor 3D anime logo” gives conflicting instructions and often creates messy results.
- Forgetting the use case: a LinkedIn banner, a product image, and a fantasy illustration need different aspect ratios, tone, and composition.
- Adding too many small objects: crowded prompts often produce distorted details. Start simple, then refine.
- Expecting exact text: many image models can struggle with long written text. Use short words or add text later in a design tool when precision matters.
AI image prompting FAQ
What makes a good AI image prompt?
Should I write short or long image prompts?
Why do AI images sometimes look generic?
How can I avoid distorted details?
What image styles work best for social media?
Can I use generated images commercially?
Commercial use depends on the image tool, the prompt, the output, and the country where you use the image. Treat AI image output as something you must review, not as automatically risk-free stock photography.
- United States: The U.S. Copyright Office AI reports explain how U.S. copyright law is being applied to AI-assisted works. Its registration guidance for works containing AI-generated material is also useful. In practice, purely AI-generated output may have limited copyright protection, while human selection, editing, arrangement, or creative additions can matter.
- European Union: Copyright protection generally depends on human originality. The EU AI Act is relevant for AI transparency and provider obligations, but it is not a simple copyright ownership rule for every generated image.
- United Kingdom: The UK has specific rules and policy discussions around computer-generated works. Start with the UK Government consultation on copyright and artificial intelligence.
- Japan: AI and copyright questions are assessed case by case. The Japan Agency for Cultural Affairs overview on AI and copyright is a helpful starting point.
- Tool terms: Always check the generator’s own license. For example, OpenAI Terms explain ownership of input and output for OpenAI services, subject to applicable law and the terms themselves.
- Third-party material: Do not use protected logos, characters, copyrighted artwork, celebrity likenesses, living artists’ names, or brand-like visuals for commercial work unless you have the required rights.
- Open licenses: If you combine AI output with external assets, check the asset license. Creative Commons licenses can allow reuse, but the exact license may require attribution, restrict commercial use, or require sharing adaptations under the same license.
This is not legal advice. For client work, advertising, products, logos, or high-value commercial use, ask a qualified legal professional in your jurisdiction.