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/AI THOUGHT LEADERSHIP

AI Image Generation in 2026: Complete Guide

By Scott McKenna, Founder · 2026-05-08 · AI Thought Leadership · Updated May 13, 2026

Why a small business would bother

Stock photography has a look. Every dentist website uses the same three smiling patients, and customers have learned to read those images as filler. AI image tools give a small business a third option between expensive commissioned photography and generic stock: images that are specific to what you want to show, produced in minutes, at low cost.

The catch is that they are still bad at the thing local businesses most need, which is showing your actual premises, your actual team and your actual work. No model can generate a photo of your van outside a real customer's house. Keep that boundary clear and the tools become useful rather than disappointing.

The main tools, honestly compared

Midjourney

Consistently the strongest on aesthetics. If you want something that looks art-directed rather than assembled, this is usually the one. The trade-off is control: it has a house style that leans stylised and dramatic, and pulling it towards plain, believable realism takes effort. Subscription-based, no free tier worth counting on.

DALL-E, via ChatGPT

The most forgiving for beginners because you describe what you want in ordinary language and can refine by conversation. Quality sits below Midjourney for polished imagery but it is far easier to get something serviceable on the first attempt. If you already pay for ChatGPT, it costs nothing extra to try.

Stable Diffusion

Open weights, which means you can run it on your own hardware, use it offline, and fine-tune it on your own images. That last point is the genuinely interesting one for a business with a distinctive product. It is also the most technical option by a wide margin, and unless someone on your side enjoys this kind of thing, the setup cost outweighs the saving.

Flux

The newer arrival that closed much of the quality gap and is noticeably better at rendering legible text inside an image, which was the standing joke of the field for years. Available both hosted and as open weights. Worth testing if your use case involves signage, packaging or anything with words in the picture.

What these tools are good and bad at

Rights, and the part people skip

This is the section that actually matters and it is the one most guides gloss over. Three separate questions are involved and they have different answers.

Can you use the image commercially? That is governed by the terms of the tool you used. Most paid tiers grant broad commercial use; several free tiers do not. Read the licence for the specific plan you are on, not the marketing page.

Do you own it? In the United States, the Copyright Office has taken the position that purely machine-generated images are not protected by copyright, because authorship requires human creativity. Practically, this means a competitor could reuse your generated image and you would have limited recourse. For a decorative blog header that is irrelevant. For a logo it is a serious problem, and you should commission a logo from a human designer.

Could it infringe someone else's rights? Prompting for a named artist's style, a recognisable brand, or a real person's likeness invites trouble regardless of what the tool allows. Avoid all three.

Practical guidance for a local business

Use AI images for the decorative layer and real photography for anything that builds trust. Your team page, your premises, your finished work and your before-and-after shots should be photographs. A phone camera and decent daylight beats a generated image for credibility every time, and customers can tell.

Where you do use generated images, keep them plain. Over-stylised, glowing, dramatically lit images look obviously synthetic and increasingly read as a signal that a business cuts corners. Ask for ordinary lighting and ordinary composition. Then compress the file properly before uploading, because a large image slows your page down and page speed affects both rankings and whether a visitor on mobile data waits around.

Finally, be straightforward about it. If a customer asks whether an image is a photograph of your work, answer honestly. The reputational cost of being caught passing off a generated image as a real job is far higher than any time you saved.

Can I use AI-generated images on my business website legally?

Generally yes on paid plans, which usually grant commercial usage rights, but check the licence attached to your specific subscription tier rather than assuming. Free tiers frequently restrict commercial use. Avoid prompts referencing living artists, real people or recognisable brands, as those create risk regardless of what the tool's terms permit.

Do I own the copyright to images I generate?

In the United States, purely AI-generated images are not currently protected by copyright, since protection requires human authorship. You can use them, but you may not be able to stop others from using the same image. For anything you need to own outright, such as a logo or a trademarked asset, commission a human designer instead.

Will customers notice that an image was AI-generated?

Increasingly, yes. People have become good at spotting the glossy, over-lit look, and it tends to reduce trust when used for anything that implies it is real. Plainer, less dramatic images are less obvious. Reserve real photography for team, premises and completed work, where authenticity carries genuine commercial weight.

Which tool should I start with if I have never tried this?

Start with whichever you already have access to, most commonly DALL-E inside a ChatGPT subscription, because conversational refinement is much easier than learning prompt syntax. Once you know what you actually need, consider Midjourney for polish or Flux if your images need readable text. There is no need to pay for several at once.

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