How to Use AI Image Generators

A year ago, making a custom image meant hiring a designer or buying stock photos. Now you can type a sentence and get four finished-looking images in under a minute — a product shot, a book cover, a thumbnail, a logo concept. The tools are powerful, and easy to misuse. This guide shows how to use AI image generators step by step: how to pick the right tool, write prompts that work, fix what comes out wrong, and publish images without breaking copyright rules or misleading anyone.

What an AI image generator actually does

An AI image generator turns a text description — called a prompt — into a new image. It does not search the internet for a picture or copy one photograph. It was trained on vast numbers of captioned images and has learned the patterns connecting words to shapes, colours, light and composition. When you ask for "a red bicycle leaning against a brick wall at golden hour," it builds a new image from those patterns, pixel by pixel.

That is why the results feel magical and why they fail in specific ways. The model knows what a bicycle usually looks like, but not that one has exactly two wheels and one chain. It can draw a hand with six fingers, or spell "COFFEE" as "COFEEE" with total confidence. So stop expecting a perfect first result: generation is a process of directing, checking and refining.

There are two broad kinds of tool. Chat-style generators, such as ChatGPT and Google Gemini, live inside a chatbot: you describe what you want in plain language and ask for changes in follow-up messages. Dedicated generators, such as Midjourney, Leonardo.Ai, Adobe Firefly and Ideogram, are built around the image itself, with controls for style, aspect ratio, reference images and variation. They suit consistent work across many images; neither kind is better in general.

Step 1: Decide what the image is for before you open any tool

Do not start by typing a prompt into the first generator you find. Answer four questions first. Where will the image live — a blog header, an Instagram post, a slide deck, a product listing? That decides the shape: 16:9 landscape for a blog, 9:16 vertical for a story, 1:1 square for a feed post. What job must it do — illustrate an idea, sell a product, set a mood, or carry text? How realistic must it be? Saying so is half the prompt. And does it need to be legally safe for commercial use?

Write the answers in one or two sentences before generating anything: "A 16:9 blog header, photorealistic, showing a small bakery at dawn with warm light in the windows, no text, space on the left for the title." That sentence is already most of your prompt.

Step 2: Pick the right generator for the job

Start free. Every tool below has a free way in, and a week of free experimentation teaches you more than any comparison article. Prices change, so always check the official pricing page before paying. Prices here were checked in November 2026.

For general use with no budget, start with ChatGPT or Google's tools. ChatGPT generates and edits images on every plan, including the free one, though the free allowance is tight — a few images per rolling day, with OpenAI publishing no fixed number — while Plus costs $20 a month for much higher limits. Google's image generation now lives inside Google Flow, after Google folded its standalone ImageFX tool into Flow in 2026; Flow has a free tier with monthly credits.

For a polished, artistic look, Midjourney is still the benchmark many creators judge everything else against, especially for cinematic and photographic styles. There is no free plan: Basic costs $10 a month (about 3.3 hours of fast generation, roughly 200 images), then $30 for Standard, $60 for Pro and $120 for Mega, with annual billing roughly 20% cheaper. Only pay for it when you want its specific look.

For control and volume on a free tier, Leonardo.Ai is the strongest starting point: its free plan gives 150 fast tokens a day, enough for dozens of images, with style presets, reference images and editing in one place. The catch is that free generations are public; private generation starts on Essential at $12 a month. For images that must contain readable text — posters, logos, thumbnails — Ideogram is the specialist. Its free access is limited and has changed repeatedly, so check its current offer on its own site; Plus is $20 a month, or $15 billed yearly. For commercial safety, Adobe Firefly is the standout: trained only on licensed Adobe Stock and public-domain content, its output is the most defensible choice when a client asks where an image came from. It has a free tier with a limited daily allowance, and paid plans start at $9.99 a month.

Step 3: Write a prompt that works

A good prompt is a clear brief, and it follows a simple formula: subject, setting, style, lighting, composition, details. "A lighthouse" is a wish. "A weathered red-and-white lighthouse on a rocky cliff at dawn, photorealistic, soft golden light, dramatic clouds, wide shot with the lighthouse on the right third, calm sea below" is a brief the model can follow.

Be specific about style, because the model will guess if you do not. "Photorealistic, shot on a 50mm lens, shallow depth of field" gives a very different result from "flat vector illustration, bold colours, minimal detail." A reference image does more for consistency than ten extra adjectives, and Leonardo.Ai, Midjourney and Google Flow all accept them. Put the most important thing first — the model weighs early words more heavily. If you want text in the image, put the exact words in quotation marks and keep them short, because even the best models garble long text.

Step 4: Generate, compare and iterate

Never judge a tool by one image. Generate four variations of the same prompt and compare them side by side. One will usually have the best composition, another the best lighting, a third the best detail. Pick the strongest and iterate on that one, changing one thing at a time. If the lighthouse is too small, say so — "make the lighthouse larger in the frame" — rather than rewriting the whole prompt and losing the parts that worked.

Use the variation controls instead of starting over. Midjourney's vary buttons, Leonardo.Ai's variation tools and ChatGPT's follow-up edits all let you keep a good image and nudge it — the first generation is a sketch, not a final. If the same problem appears in every variation, simplify the prompt or change the composition instead of rolling the dice again. Set the aspect ratio before you generate, not after — cropping a square into a wide banner throws away a third of the picture. Save the prompt and settings behind each keeper, so a good result becomes repeatable.

Step 5: Edit, fix and upscale the result

Almost no AI image is finished the moment it is generated. The standard finishing pass has four moves.

1. First, inpainting: most generators let you select a region — a garbled hand, a stray object, a misspelled word — and regenerate just that area while the rest stays untouched.
2. Second, outpainting: extending the edges of an image to change its shape, for example turning a square into a wide banner without cropping.
3. Third, upscaling: tools such as LetsEnhance can raise a small generation to print or high-resolution screen size.
4. Fourth, a normal photo edit: contrast, warmth, crop.

Some fixes are not worth attempting in the generator. If a face is badly wrong, regenerate rather than patch it ten times. If text is garbled, shorten it or add it yourself afterwards — a clean overlay beats mangled generated lettering. For product work, composite the real product photo into an AI-generated scene instead of asking the model to invent your product: it will change the label, the shape and the colour, and your customers will notice.

Step 6: Check rights, licensing and disclosure before you publish

This is the step most guides skip, and it is the one that causes real trouble. Three things to check every time: the tool's terms, the image's copyright status, and whether disclosure is required.

First, the tool's terms. Each generator licenses its output differently, and free tiers are often more restrictive than paid ones. Some allow commercial use on all plans; others reserve it for paying users, or make free-tier images public by default, as Leonardo.Ai does. Read the terms for the plan you are actually on — "I made it" does not mean "I own it outright." In the US, the Copyright Office has said purely machine-generated material without human authorship is not protected by copyright.

Second, what is in the image. Do not generate images of real people without their consent, do not recreate living artists' distinctive styles for commercial work, and do not ask a generator to reproduce trademarks, logos or copyrighted characters — the fact that the tool complies does not make the result legal to use. Never present an AI image as a real photograph of a real event: that is misinformation, however good it looks. Third, disclosure: some platforms and publishers now require AI-generated images to be labelled, and audiences increasingly expect it. A short credit — "Image generated with AI" — costs nothing and protects your credibility.

Step 7: Build a repeatable workflow

One good image is luck. Ten good images in the same style is a workflow. It needs three things: a prompt library, a style sheet, and a checklist. Keep your prompt library as a plain document with one entry per successful image — the prompt, the tool, the aspect ratio, the model or style preset.

Your style sheet is five lines: the style words you always use, the lighting you prefer, the colour palette, the aspect ratios for each platform, and the words you always avoid. Define the look once — "warm, photorealistic, soft morning light, muted greens, no text" — and reuse it, so your images look like they belong together. Before every publish, check fit, spelling, hands and faces, licence, and labelling. Thirty seconds of checking saves the embarrassment of a six-fingered hand on a client homepage.

Common pitfalls, honestly stated

The most common mistake is believing the first result. Generators are confident, not accurate: they will invent a plausible-looking detail — a wrong date on a sign, an extra floor on a building, a logo that almost matches a real brand — and present it as fact. The second mistake is over-generating: spending an hour and a hundred credits chasing a perfect image that a five-minute edit would have fixed. Set a limit before you start — ten generations per image, then edit or move on.

Cost is the quiet trap. Free tiers are generous until they are not: daily allowances reset, but paid plans are usually monthly subscriptions, and credits rarely roll over. A tool that costs $10 or $20 a month is cheap if you generate daily and expensive if you generate twice. The other trap is style drift: every generator has a house look — Midjourney leans cinematic, Firefly leans clean and commercial, Flux leans photographic — and switching tools mid-project makes your images stop matching. Pick one primary tool per project. They cannot guarantee likeness or text, and a generated image is an illustration, not evidence.

Frequently asked questions

Which AI image generator is best for beginners? Start with ChatGPT or Google Flow. Both are free to try, accept plain-language requests, and let you ask for changes in conversation. Move to Leonardo.Ai for more control, and to Midjourney for its cinematic look.

Can I use AI-generated images commercially? Usually yes, but it depends on the tool and the plan. Adobe Firefly is the safest choice because it is trained on licensed content; Leonardo.Ai's free tier makes images public; Midjourney's terms vary by plan and company revenue.

Why do AI images get hands and text wrong? Because the model learns patterns, not anatomy or spelling. It knows hands are roughly hand-shaped, not that they have five fingers in a specific arrangement, and it draws letters as shapes rather than reading them. Close-ups, simpler poses, shorter text and typography-focused tools such as Ideogram all reduce the problem.

How much does AI image generation cost? You can start free: ChatGPT, Google Flow, Microsoft Designer, Leonardo.Ai and Adobe Firefly all have free tiers with daily or monthly limits. Paid plans typically run from about $10 a month — Midjourney Basic at $10, Leonardo.Ai Essential at $12, Firefly Standard at $9.99, ChatGPT Plus and Ideogram Plus at $20.

Do I need to say an image was made with AI? It depends on the platform, but it is good practice everywhere and required in some places. A short label such as "Image generated with AI" is honest and costs nothing.

Start with the job, not the tool. Pick one free generator, write a clear brief in one sentence, generate four variations, fix the best one, and check the licence before you publish. Do that a few times and it becomes second nature.