AI & Creative Tools

Getting Started With AI Image Generation: How to Write Prompts That Work

This beginner tutorial covers the fundamentals of prompting an image model — subject, detail, style, and structure — the approachable on-ramp that the site's ComfyUI and LoRA tutorials assume you already have.

This site’s other AI tutorials jump straight to the deep end — ComfyUI’s node graphs, training your own LoRA. Most people start somewhere much simpler: typing a description into an image generator and trying to get back what they pictured. That’s a real, learnable skill, and it’s the foundation everything else builds on. How to Write Great Prompts for AI Image Generators walks through the fundamentals in a tool-agnostic way, aimed at anyone opening Midjourney, a Stable Diffusion interface, or ChatGPT’s image tools for the first time.

Structure: subject first, details after

The single most useful habit is putting the most important thing — your subject — first, then layering details in roughly descending order of importance, because image models tend to weight what comes early. A workable structure names the subject, then the setting or environment, then lighting and mood, then style. “A red fox” becomes “a red fox curled asleep in snow, soft morning light, shallow depth of field, photographic.” Each added clause is a lever; the skill is knowing which levers move the image toward what you want without piling on so many that the model loses the thread.

Iterate, don’t incant

Beginners treat prompts like magic spells — get the exact words and the perfect image appears. It doesn’t work that way. Prompting is iterative: start simple, see what the model gives you, then adjust one thing at a time and regenerate. Too many competing details early on tends to muddy the result, so it’s usually better to begin with a short, clear prompt and add specificity in response to what you actually get back. That loop — generate, read the result, refine — is the real technique, and it’s what the video demonstrates in practice.

Models differ — and where to go next

The same prompt behaves differently across tools: conversational models reward full sentences and follow-up edits, while others prefer short, high-signal keyword phrases, sometimes weighted. Learning the dialect of whichever generator you use is part of the craft. Once basic prompting clicks, the natural next steps are exactly this site’s other AI coverage — structured, repeatable workflows in ComfyUI, or training a LoRA to make a model reliably produce your own style or subject. Start by getting one image close to your intent through iteration; everything more advanced grows from that.