How to create images with AI: a from-scratch guide to image generation
In short: image generation is when you describe a picture in words and the AI draws it. It works like a text chat, but the output is an image. To get beautiful results, learn to describe subject, style, light and composition. Below: how it works, what to draw with, and how to write a prompt for a picture.
How it actually works
The model was trained on a huge number of "image + caption" pairs and picked up the link between words and visual forms. When you give it text, it step by step "develops" an image out of noise, fitting it to your description. You don't need to draw — you need to describe precisely, and that's the same skill as text prompting.
Think before reading on: if you commissioned a picture from a real artist, what would you specify beyond the object itself? Most likely style, mood, angle, background. That's exactly what the model asks for.
What to draw with: 2026 tools
- Midjourney — the benchmark for artistic quality and atmosphere. Great for art, concepts, covers.
- DALL·E (inside ChatGPT) — the simplest start: describe the picture right in the chat, easy to tweak with words.
- Built-in generators in Gemini and other services — fast and at hand.
- Design tools (for example, in Canva) — generation plus ready templates for posts and slides.
Anatomy of an image prompt
A good visual prompt describes several layers. The scheme:
[subject] + [action/pose] + [environment] + [style] + [light and mood] + [angle/composition]
Example: "a ginger cat sits on the windowsill of an old European coffee shop, rain outside, warm film-photography style, soft evening light, close-up". The more specific the layers, the closer the result to your intent. This is a direct extension of the formula from what a prompt is and how to write one.
Five techniques for better pictures
- Name the style explicitly: "watercolour", "3D render", "minimalist icon", "film photo".
- Specify light and time of day — they set the whole mood of the shot.
- Set format and composition: "vertical for stories", "plenty of empty space at the top for text".
- Iterate with variations: generate several versions and refine the one you like.
- Remove clutter: if the frame has junk, add what shouldn't be there — "no text, no logos".
What to know about rights and honesty
- Copyright for AI images is an area where rules are still forming and differ across countries. For commercial use, check the specific service's terms.
- Don't pass images off as photos of real events. Generated pictures of people and "news" mislead easily — label them as AI.
- Watermarks and labels. Some services add invisible or visible marks of artificial origin — that's normal and a sign of responsible use.
- Other people's faces and brands. Generating recognisable people and logos carries legal risk — avoid it without a basis.
Where it comes in handy
Post covers, article illustrations, concepts for slides, avatars, images for a website. By the way, AI-made pictures pair perfectly with a site built in the vibe coding style. And to choose the AI itself for text and images, the comparison of ChatGPT, Claude and Gemini will help.
Do it now (3 minutes, on paper)
Come up with a picture and lay it out by layers: subject / environment / style / light / angle. Even without a generator you'll feel how "draw a cat" turns into a precise visual brief — and that's what separates a random image from the one you intended.
FAQ
Do I need to know how to draw?
No. The model draws — what's needed from you is the ability to describe: subject, style, light, composition. It's the same skill as text prompting and grows fast with practice.
Which tool should a beginner pick?
The simplest start is DALL·E right inside ChatGPT: describe the picture in the chat and tweak with words. For maximum artistic quality people move to Midjourney once comfortable.
Can I use such images commercially?
Often yes, but rules and rights depend on the service and country and are still forming. Before commercial use, read the specific tool's terms and avoid other people's faces and logos.
Why do I get something other than what I intended?
Usually because the prompt lacks layers: style, light, angle or composition. Describe them explicitly and iterate with variations — each refining edit converges toward your intent.
Why does the model struggle with hands and text?
These are historically weak spots for generators: fine finger structure and exact letters are the hardest. Models are improving fast, but for now check such details and regenerate if needed.
Do I need a powerful computer?
For cloud services (Midjourney, DALL·E, Gemini) — no: the computing runs on their servers and a browser is enough. Powerful hardware is only needed for local models you run on your own machine.
How do I tell an AI image from a real photo?
Signs: odd details on hands and small objects, 'melting' text, unnatural shadows, overly smooth texture. Some services add watermarks. The most reliable approach is to stay skeptical of a 'photo' with no source.