The Biggest AI Image Prompting Mistakes Beginners Don’t Know They’re Making (Patreon)

Your AI image generator might not be the problem. Your prompt could be confusing it without you even realizing it.

When I first started experimenting with AI image generators, I definitely thought prompting was mostly about describing what I wanted. If I wanted a woman standing in a magical forest, I would simply describe a woman standing in a magical forest. Easy enough, right? Except anyone who has spent more than five minutes generating AI images knows how quickly that idea can fall apart.

Suddenly, your magical forest looks like a random park, your character is wearing the wrong clothing, the dramatic lighting you imagined is nowhere to be found, and the composition feels completely off. Sometimes the style changes from one generation to the next, and somehow the AI decides that one tiny word you barely thought about is apparently the most important part of the entire prompt.

The more AI images I’ve created, the more I’ve realized that good prompting isn’t necessarily about writing more. It’s about understanding which pieces of information actually change the image. That distinction makes a huge difference, especially because a lot of beginner prompting mistakes are surprisingly subtle. You may not even realize you’re making them because technically there’s nothing “wrong” with your prompt. It simply isn’t communicating your idea as clearly as it could.

Here are some of the biggest mistakes I see beginners make, and what you can try instead.

1. Writing a Story Instead of Describing an Image

This is probably one of the easiest mistakes to make.

You have an idea in your head, so naturally you explain the idea.

Something like:

A lonely woman has spent years traveling through a dangerous world after losing everything she loves, but now she has finally found somewhere peaceful to live.

That could be a great concept for a novel.

But what does it actually look like?

AI image generators work much better when you translate the story into visual information.

Instead, you might prompt:

solitary woman standing outside a weathered cottage in a quiet mountain valley, worn travel clothing, backpack resting beside the door, misty mountains in the distance, warm evening light glowing through cottage windows, peaceful melancholic atmosphere, cinematic photography

Now the image generator has something it can actually build. You haven’t abandoned the story. You’ve translated it. That is one of the most useful prompting skills you can learn. Whenever you write an emotional or conceptual phrase, ask yourself:

What would this look like in a photograph, painting, movie scene, or illustration?

Instead of “she feels powerful,” try a low camera angle, strong posture, wind-blown clothing, dramatic lighting, or an imposing environment.

Instead of “the city feels lonely,” try empty streets, distant figures, rain-soaked pavement, dim storefronts, fog, or a single illuminated window.

Turn ideas into visuals.

2. Stuffing Every Possible Detail Into One Prompt

Once people discover that prompts can control lighting, cameras, colors, styles, compositions, clothing, poses, materials, environments, and about 500 other things, there is an understandable temptation to use all of them.

I’ve done it too.

You start with:

portrait of a woman

And five minutes later the prompt has somehow become:

cinematic hyperrealistic editorial fine-art fashion portrait of an elegant mysterious ethereal woman wearing a flowing silk couture gown, volumetric golden lighting, dramatic rim lighting, soft diffused lighting, neon lighting, Kodak film, Polaroid photography, 85mm lens, wide-angle photography, macro photography

At some point, the AI is basically being handed a creative identity crisis.

More descriptive words do not automatically create a better image.

In fact, conflicting instructions can make your results less predictable.

Try focusing on a few important categories:

Subject + defining details + environment + composition + lighting + visual style

For example:

red-haired woman in an embroidered green velvet dress, standing inside an overgrown Victorian greenhouse, waist-up portrait, soft window light, muted botanical colors, romantic editorial photography

That prompt already establishes a very clear visual direction.

You can always add more afterward.

Which brings me to one of my favorite ways to prompt.

3. Trying to Create the Perfect Prompt on the First Attempt

I rarely think of prompting as a one-and-done process.

I think of it more like building an image in layers.

Start with your core idea.

Generate.

Look at what happened.

Then ask yourself what needs to change.

Maybe the composition isn't dramatic enough.

Add:

low-angle composition

Maybe the image feels too digitally perfect.

Try:

subtle film grain, natural skin texture, imperfect details

Maybe the lighting feels flat.

Add:

directional window light, soft shadows

Maybe the scene needs more atmosphere.

Try:

faint atmospheric haze, dust floating through sunlight

You learn much more this way than you do by throwing fifty prompt terms into your first generation and hoping something magical happens.

It also teaches you which words are actually influencing your results.

4. Using Vague Adjectives Without Visual Context

Words like these appear constantly in AI prompts:

Beautiful.

Amazing.

Stunning.

Epic.

Gorgeous.

Cool.

Professional.

They aren’t necessarily useless, but they are incredibly broad.

What does “beautiful lighting” mean?

Golden-hour sunlight?

Soft studio lighting?

Candlelight?

Blue moonlight?

All of those can be beautiful, but they create completely different images.

Instead of telling the AI that something should look good, describe why it should look good.

Instead of:

beautiful portrait

Try:

intimate portrait of woman in a meadow, soft natural window light, shallow depth of field, subtle skin texture, muted warm tones

Instead of:

epic fantasy landscape

Try:

enormous ruined fortress overlooking a stormy valley, tiny traveler in the foreground for scale, dramatic clouds, rays of sunlight breaking through the storm, cinematic wide-angle composition

Specific visual language usually beats generic praise.

5. Ignoring Composition

Composition is one of the most overlooked parts of prompting.

People spend a tremendous amount of time describing what is in the image and almost no time describing where everything should be. But composition can completely change the feeling of an image.

Try experimenting with phrases like:

• close-up portrait

• extreme close-up

• waist-up composition

• full-body portrait

• wide establishing shot

• centered composition

• asymmetrical composition

• subject positioned on the left

• negative space

• foreground framing

• overhead view

• low-angle shot

• ground-level perspective

Consider the difference between:

cat sitting in an alien forest

and:

tiny cat sitting at the bottom of the frame inside an enormous alien forest, towering bioluminescent plants surrounding it, wide cinematic establishing shot

Same subject. Completely different image. Composition is often what separates an interesting AI image from one that feels like a generic generation.

6. Forgetting About Camera Perspective

You don’t have to be a professional photographer to borrow photography terminology. Camera language is incredibly useful because it gives the AI clues about how you want the viewer to experience the scene.

For portraits, I often experiment with lens references like:

50mm photography

85mm portrait lens

shallow depth of field

For environmental images:

24mm wide-angle lens

cinematic establishing shot

aerial photography

telephoto photography

Even simple perspective changes can dramatically alter an image. A low-angle portrait can make someone feel powerful. An overhead composition can make them feel small. A telephoto wildlife-style photograph can create the feeling that you’re observing something from far away. A close-up creates intimacy. You aren't just prompting the subject. You're prompting the imaginary camera.

7. Mixing Styles That Fight Each Other

This one happens constantly because there are so many fun styles to experiment with.

You might want something that is:

watercolor + photorealistic + anime + charcoal drawing + cinematic photography + vintage illustration

And occasionally, mixing unexpected styles creates something amazing.

But other times the AI basically shrugs and picks one.

If you want to combine styles, give one of them a clear leading role.

For example:

realistic fashion photography with subtle watercolor texture

or:

detailed watercolor illustration with cinematic lighting

Now there is a dominant visual language. You can think of it almost like cooking. Adding cinnamon to chocolate can be interesting. Adding cinnamon, basil, mustard, peppermint, garlic, chocolate, and barbecue sauce because you like all of them individually is...probably going to require some experimentation. AI prompting works surprisingly similarly.

8. Forgetting That Lighting Is Part of the Prompt

If your AI image feels boring, lighting is one of the first things I would change.

Lighting affects color, atmosphere, realism, emotion, texture, and depth.

Compare:

woman standing in a field

with:

woman standing in a field, golden-hour backlighting, sunlight glowing through her hair, long soft shadows

Or:

abandoned hallway

with:

abandoned hallway illuminated by flickering fluorescent lights, deep shadows, faint blue light spilling through a doorway

Lighting isn't just decoration.

It helps tell the story.

Some useful lighting ideas to experiment with include:

• golden-hour lighting

• blue-hour lighting

• diffused window light

• soft overcast lighting

• dramatic side lighting

• rim lighting

• backlighting

• candlelight

• neon lighting

• dappled sunlight

• cinematic low-key lighting

• volumetric light

• harsh midday sunlight

If you generate the same basic scene using five different lighting setups, you can get five completely different moods.

9. Expecting the AI to Know What You Mean by “Realistic”

“Photorealistic” is probably one of the most popular AI image prompt terms in existence.

But realistic images are made from lots of little visual cues.

Natural skin texture.

Slight imperfections.

Believable lighting.

Realistic depth of field.

Fabric texture.

Natural poses.

Environmental details.

Lens characteristics.

If your portrait still looks overly polished or artificial, try prompting the characteristics you associate with real photography instead of relying entirely on the word photorealistic.

For example:

candid environmental portrait of a 40 year old female writer, natural skin texture, subtle facial imperfections, realistic fabric texture, soft window light, shallow depth of field, 50mm photography, documentary-style photography

Sometimes realism comes from imperfection.

Perfect symmetry, perfect skin, perfect lighting, and perfectly posed subjects can actually make an image feel less real.

10. Giving Conflicting Instructions

This is another sneaky one.

You might accidentally ask for:

close-up portrait, full-body view

or:

soft diffused lighting, harsh dramatic shadows

or:

minimalist composition, highly detailed cluttered background

Technically the AI may attempt all of these things. But you're making its job unnecessarily complicated. If your generations suddenly start looking confused, read through your prompt and look for instructions that contradict each other. This is especially important if you've been editing the same prompt over and over. Old instructions have a habit of hanging around long after you've forgotten why you added them. Prompt housekeeping is a thing. Apparently.

11. Changing Too Many Things at Once

This mistake can make learning how to prompt much harder because it becomes difficult to tell which changes are actually improving your results. Imagine you generate an image you almost love, then change the lighting, lens, colors, pose, style, clothing, and environment all at once. The next generation looks better, which is great, but now you have no idea what actually fixed it.

When I’m experimenting with prompts, I prefer changing just one or two major elements at a time because it makes the process feel much more intentional. You start noticing patterns, like whether “editorial photography” consistently gives you compositions you love, whether “soft diffused light” works especially well for portraits, or whether a particular lens reference creates the depth you’re looking for.

Over time, those small discoveries become your own personal prompting vocabulary, and I think that is far more useful than trying to memorize hundreds of supposedly secret AI prompt words.

12. Copying Other People's Prompts Without Understanding Them

There is absolutely nothing wrong with studying prompts. I think it is one of the best ways to learn. But copying a giant prompt from somewhere online and hoping it magically creates incredible images doesn't teach you very much. Instead, dissect it.

Ask:

What describes the subject?

What controls the style?

What affects the composition?

What controls the lighting?

Are there camera terms?

Are there color instructions?

Which words probably aren't doing much at all?

Then remove things.

Change things.

Generate variations.

Prompt experimentation becomes much more valuable when you understand why certain words are there.

13. Assuming Every AI Image Generator Understands Prompts the Same Way

This has become increasingly important. A prompt that works beautifully in one AI image generator might behave very differently in another. Some models respond well to natural language. Others seem to respond better to structured visual descriptions. Certain generators strongly interpret style terminology. Others seem much more interested in composition or literal objects.

And models keep changing. That means one of the most useful skills you can develop isn't memorizing the “perfect AI prompt.” It's learning how to test a model. Give it a simple prompt. Change one variable. See what happens. Try a lighting phrase. Try a camera term. Prompting gets much easier once you start treating it like experimentation instead of magic.

14. Forgetting the Most Important Question: What Do I Actually Want This Image to Look Like?

This sounds ridiculously obvious. But I think it might be the biggest prompting mistake of all. Sometimes we become so focused on writing an impressive prompt that we forget to visualize the actual image. Before prompting, I like to mentally answer a few questions:

What is the main subject?

Where are they?

What is the viewer seeing?

How close is the camera?

What is the lighting like?

What colors dominate the image?

What emotion should the image create?

What medium or photographic style fits that idea?

Once you answer those questions, the prompt often becomes much easier to write.

You stop searching for magical keywords.

You start directing the image.

A Simple Prompt Formula to Try

If you're struggling with prompts, start simple.

One structure I come back to again and again is:

Subject + specific details + environment + composition + lighting + style

For example:

elderly astronomer wearing a faded blue coat, standing beside a telescope on a remote desert plateau, enormous star-filled sky overhead, wide composition with the figure small in frame, soft moonlight and subtle atmospheric haze, cinematic photography

Or:

tiny orange kitten wearing a miniature explorer backpack, walking through a forest of glowing blue mushrooms, ground-level perspective, shallow depth of field, soft bioluminescent lighting, whimsical cinematic 3D illustration

You don't necessarily need fifty descriptive words.

You need the right descriptive words.

Good Prompting Is Really About Learning to See

After creating thousands of AI images, this might be the biggest thing I've learned. Prompting gets easier when you stop thinking entirely in words. Start looking at images differently.

Notice the lighting.

Notice where the subject is positioned.

Notice how close the camera is.

Notice the colors.

Notice the textures.

Notice what creates the mood.

Notice why one image feels cinematic while another feels flat.

The better you become at recognizing those visual ingredients, the easier it becomes to communicate them to an AI image generator.

And yes, you will still occasionally ask for something perfectly reasonable and receive a deeply confusing creature with three elbows standing beside a chair that appears to have developed consciousness.

That is simply part of the AI art experience. But learning how to prompt intentionally gives you much more control over the process. Don't worry about creating the world's most elaborate prompt. Start with a clear idea. Describe what the viewer should actually see.

Generate.

Adjust.

Experiment.

And pay attention to which words genuinely change your results. That is where the real prompting skill begins.