Why your prompt matters more than your tool
Every AI image generator — whether it's Midjourney, DALL-E, Stable Diffusion, or any other — runs on the same basic principle: you describe what you want, and the model tries to produce it. The quality of what you get back depends overwhelmingly on the quality of what you put in.
A vague prompt produces a vague image. Not because the AI is bad, but because it has no way to know what you actually had in mind. When you type "a cat," the model has to decide everything else on its own: what breed, what pose, what lighting, what background, what style, what mood. That's a lot of guessing.
The goal of good prompting isn't to write a novel. It's to remove ambiguity — to close the gap between the image in your head and the instructions the AI receives.
The anatomy of a good prompt
Think of a prompt as having layers. You don't always need all of them, but knowing what they are helps you decide what to include.
Subject — What is the main thing in the image? Be specific. Not "a dog" but "a golden retriever puppy sitting on a wooden porch." The more concrete the subject, the less the AI has to invent.
Style — How should the image look? Photography? Oil painting? Watercolor? Anime? Pixel art? If you don't specify, the model picks something generic. You can also reference specific aesthetics: "in the style of a 1970s film poster" or "minimalist flat illustration."
Lighting and mood — This is where images go from decent to striking. "Soft golden hour light" creates a completely different feeling than "harsh overhead fluorescent lighting." Words like dramatic, moody, ethereal, warm, cold, cinematic — they all push the result in a specific emotional direction.
Composition and camera — Think like a photographer. "Close-up portrait," "wide-angle landscape," "shot from below," "overhead flat lay" — these tell the AI how to frame the scene. You can even reference specific lenses: "85mm portrait lens with shallow depth of field" gives you that beautiful background blur.
Setting and context — Where is this happening? An empty studio? A crowded market in Marrakech? A foggy forest at dawn? The environment shapes everything around your subject.
Color palette — If color matters, say so. "Muted earth tones," "vibrant neon colors," "monochrome with a single red accent" — these constraints help the AI make cohesive visual choices.
The formula approach
If you're just starting out, try building your prompts with this simple structure:
[Subject] + [Style] + [Lighting/Mood] + [Setting] + [Additional details]
For example:
A elderly woman reading a book in a cozy armchair, oil painting style, warm candlelight, a small cluttered living room with bookshelves, rich autumn colors
Compare that to just "old woman reading" — the difference in output will be dramatic.
Common mistakes and how to fix them
Being too vague. "A beautiful landscape" gives the AI almost nothing to work with. Beautiful how? Where? What season? What time of day? Replace abstract adjectives with concrete descriptions.
Cramming too much in. There's a sweet spot between too little and too much. If you describe fifteen different objects, three light sources, and four competing styles, the AI will struggle to reconcile them all. Focus on what matters most and let the model fill in secondary details.
Ignoring what you don't want. Many generators support negative prompts — descriptions of what to avoid. "No text," "no watermarks," "no extra fingers" can clean up common issues. Even if your tool doesn't have a dedicated negative prompt field, phrases like "without text overlay" in your main prompt can help.
Forgetting about style entirely. If you only describe the subject, you'll get whatever default style the model favors. Always include at least one style indicator, even if it's just "photorealistic" or "digital illustration."
Using contradictory instructions. "A dark, moody scene with bright, cheerful lighting" forces the AI to pick one or compromise poorly. Make sure your descriptors work together.
Working with the AI, not against it
Prompting is a conversation, not a single command. Your first result will rarely be perfect, and that's fine. The process looks like this:
- Start with a clear but not over-detailed prompt
- Look at what the AI gives you
- Identify what's wrong or missing
- Adjust your prompt and regenerate
- Repeat until you're happy
Each iteration teaches you how your specific tool interprets language. Some models respond well to comma-separated keywords. Others prefer natural sentences. Some weight the beginning of the prompt more heavily. You learn these quirks through practice.
Prompt examples: from weak to strong
Weak: A city at night
Better: A futuristic city skyline at night, cyberpunk aesthetic, neon lights reflecting on wet streets, cinematic wide shot
Weak: A portrait of a woman
Better: A close-up portrait of a young woman with freckles, natural light from a window on the left, film photography style, soft muted tones, shallow depth of field
Weak: Food on a table
Better: An overhead flat-lay photograph of a rustic Italian dinner spread on a weathered wooden table, fresh pasta, crusty bread, olive oil, warm evening light, editorial food photography style
Notice the pattern: stronger prompts aren't necessarily longer — they're more intentional about the details that shape the final image.
A note about AI-generated text in images
Most current image generation models struggle with text. If you ask for a sign that says "Welcome Home," you might get something like "Wlecmoe Hmoe." This is a known limitation — these models understand visual patterns, not spelling.
If you need text in your image, add it afterward using an image editor. Generate the visual first, then overlay your text manually for clean, accurate results.
The creative mindset
The best prompt writers aren't necessarily the most technical. They're the ones who can visualize clearly and translate that vision into words. If you can describe a scene to a friend and have them picture it accurately, you can write a good AI image prompt.
Start simple. Experiment often. Save prompts that work well so you can reuse and remix them. Over time, you'll develop an intuition for what language produces what results — and that's when AI image generation becomes genuinely fun.
Inspired by the topic covered in Deborah Blank's article on AI art prompts at the Artlist Blog. This article was written independently for Second Circuit Academy.