
The Beginner's Guide to AI Images
I remember being completely lost when I first tried AI image generation, here's everything I wish someone had told me upfront.
When I first tried AI image generation, I spent like two hours getting outputs that looked like fever dream paintings when I wanted something clean and simple. I had no idea what I was doing wrong. The prompts felt random. The results felt random. I almost gave up.
I'm really glad I didn't, because once I figured out how it actually works, I genuinely can't imagine going back to the way I used to find or make images. So here's everything I wish someone had told me at the start.
First: what AI image tools are actually doing
You don't need a deep technical understanding of this, but having a rough mental model helps. When you type a prompt, the model has been trained on an enormous amount of images and their descriptions. It's learned patterns, what "sunset" looks like, what "minimalist" means visually, what combinations of words tend to produce what kinds of images.
It's not searching a database for an image that matches. It's generating a new image based on patterns it's learned. That's why the same prompt can give you slightly different results each time. And it's why the exact words you choose matter more than you'd expect, some words have really strong pattern associations and some don't.
The tools I actually recommend starting with
Okay so there are a lot of options and it's overwhelming. Here's my honest shortlist for a beginner.
Midjourney is still what I use most for anything where aesthetics really matter. The outputs tend to be beautiful by default, which is great when you're starting out and don't know how to coax beautiful out of a model yet. It has a learning curve and lives in Discord, which is annoying, but the quality made it worth the friction for me.
DALL-E through ChatGPT is the easiest starting point if you just want to mess around with zero setup. The quality isn't always as stunning but it's approachable, it's right there in a tool you might already be using, and it's gotten notably better. For quick concept sketches or blog headers where you need something fast, I still use it.
For anything involving consistent characters or more complex scene-building, I've been using some of the newer tools that give you more control over references. That stuff is more advanced though, start with one of the simpler options first.
How to write prompts that actually work
This is the part that took me longest to figure out. Here's what I've learned.
Be specific about what you want, but also be specific about what you DON'T want. Most tools let you add negative prompts or "avoid" instructions. Use them. If I want a clean minimalist product photo and I don't specify, I might get dramatic lighting and a cluttered background. Adding "no dramatic lighting, clean background, simple composition" makes a huge difference.
Style words matter more than you'd think. Words like "photorealistic", "illustration", "watercolor", "flat design", "cinematic", "editorial", these pull the output in really specific directions. I spend more of my prompt on style and mood than on the actual subject sometimes.
Reference real things when you can. "Lighting like a Dutch Golden Age painting" gets you somewhere specific. "Warm lighting" is too vague. "In the style of a 1970s film still" gets you somewhere. "Vintage" is too broad.
And don't try to cram everything into one prompt. Complex multi-element scenes almost never come out right. Pick one focus. Get that right. Then try adding complexity.
What to do when the output isn't what you wanted
This is normal. Even experienced people rarely nail it on the first try. Here's my debugging process.
First, look at what actually came out and try to name what's wrong. Is the subject wrong? The style? The lighting? The composition? That tells you what part of your prompt to fix.
If the subject is wrong, you probably need more specific nouns and less vague descriptors. If the style is wrong, your style words aren't strong enough or specific enough. If the composition is off, try adding explicit composition instructions like "centered subject", "wide shot", "close up face".
Regenerating with the exact same prompt sometimes gives you something better, because there's randomness in the process. But if you've regenerated three times and it's still not right, the prompt needs changing, not just more attempts.
The things beginners always ask about
Hands. Yes, they're still weird sometimes. It's gotten better but it's not solved. If you need a hand in frame and it matters, zoom out so it's not prominent, or plan to spend some extra generations on that one.
Text inside images. AI is genuinely bad at this. If you need legible text as part of an image, generate the image without text and add it in a regular design tool afterward. Canva or whatever you use. Don't fight the AI on this one, it's not a battle you're going to win consistently.
Making multiple images look like the same person. This is where the reference tools I mentioned come in. Without them, keeping a consistent character across images is very hard. It's solvable with the right tools, but it's advanced. Not a beginner thing to worry about yet.
Stuff I genuinely use AI images for now
Blog and social headers. I probably generate ten to fifteen images a week just for this. It's so much faster than hunting for stock photos that are both good and free to use commercially.
Mood boards and concept visualization. When I'm trying to figure out if a visual direction will work, I can generate a bunch of options in an hour instead of spending days trying to find references or mock things up.
Quick illustrations for things that are hard to photograph. Abstract concepts, fictional scenarios, things that don't exist yet.
I want to be honest that I still commission real photographers and illustrators for things where their specific skill and eye really matters. AI images are great for a lot of things but they're not good at everything. Having a real person's vision in an image is still different and sometimes that's exactly what a project needs.
But for the everyday practical stuff? It's genuinely changed how I work. Give yourself a few weeks to get over the learning curve and it'll feel the same way to you.
Emily in AI
Emily in AI is a plain-English guide to AI tools, tips, and beginner guides. Every tool gets tested and written up without the hype or the jargon, so you can figure out what actually helps. New posts every week.
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