Prompt Anatomy: Basic Structure
An effective prompt consists of four key elements: subject, environment, style, and technical parameters. Writing "A close-up portrait of a middle-aged woman with silver hair, soft studio lighting, shot on Canon 5D, bokeh background, professional fashion photography" instead of "A portrait of a woman" dramatically improves output quality. The more specific the subject, the more accurate results AI produces.
Style and Reference Techniques
Providing references to specific artists or visual styles helps achieve consistent results. You can use references like "In the style of Ansel Adams" (black-and-white photography), "digital art by Artgerm" (anime-style illustration), or "concept art for a AAA video game." Specifying an era is also effective: "1970s retro poster design" or "Renaissance oil painting technique." To mix multiple styles, write something like "blend of Art Nouveau and cyberpunk aesthetics."
Lighting and Composition Control
Lighting is the most critical element that determines the mood of an image. Expressions like "Golden hour lighting," "dramatic side lighting," "neon-lit environment," or "overcast diffused lighting" significantly shape outputs. For composition, use cinematic terms like "rule of thirds," "bird's eye view," "worm's eye view," "extreme close-up," or "wide establishing shot."
Negative Prompt and Improvement Strategies
Clearly specifying unwanted elements improves output quality. In Stable Diffusion's negative prompt field, add common problems like "blurry, low quality, distorted, watermark, text, extra fingers, bad anatomy, ugly." In Midjourney, use the "--no" parameter. Run the same prompt multiple times for different results, and lock in the best one with its seed number. If you like an image, you can generate similar variations with "--seed [number]."
Category-Based Prompt Templates
We have tested hundreds of prompts across different categories. Pick a template below and adapt it to your needs:
**Portrait Photography:** "cinematic portrait of [person description], [lighting type] lighting, [lens mm] lens, [background], [photographer/style reference] --ar 2:3"
**Product Imagery:** "product shot of [product], [surface/background], [lighting setup], commercial photography, [brand aesthetic] --ar 1:1"
**Landscape and Nature:** "[landscape type] at [time/season], [weather condition], [atmosphere], landscape photography, [photography style] --ar 16:9"
**Concept Art:** "concept art of [scene/character], [art style], [color palette], [atmosphere], digital painting, highly detailed --ar 16:9"
**Architectural Visualization:** "architectural visualization of [building type], [materials], [lighting condition], [surroundings], professional 3D render --ar 16:9"
Prompt Improvement: Before and After Examples
Showing how a prompt improves with concrete examples is essential. Here are real examples we tested:
**Example 1 — Weak prompt:** "a cat sitting" **Strong version:** "a fluffy orange tabby cat sitting on a sunlit windowsill, dust particles in the air, soft bokeh background of a cozy living room, natural light, shot on 50mm lens, warm tones --ar 3:2 --stylize 400"
**Example 2 — Weak prompt:** "a city at night" **Strong version:** "aerial view of Tokyo at night, neon signs reflecting on wet streets after rain, cyberpunk atmosphere, long exposure light trails, cinematic color grading, 8k detail --ar 21:9 --stylize 600"
**Example 3 — Weak prompt:** "food photo" **Strong version:** "overhead flat lay of a rustic brunch spread on a wooden table, avocado toast, fresh berries, artisan coffee, natural morning light from a side window, food photography by Bon Appetit --ar 4:5"
In each example, you can see how the output dramatically improves with the addition of subject, environment, lighting, style, and technical details.
Now You Try: 5 Practical Exercises
Practice these exercises in order to develop your prompt writing skills:
1. **Improve a basic prompt:** Take "a dog in a park" and rewrite it by adding 5 different details (breed, lighting, season, camera angle, style). 2. **Same subject, 3 different styles:** Generate a coffee cup image in photorealistic, watercolor, and pop-art styles. The only change in the prompt should be the style description. 3. **Lighting experiment:** Run the same portrait prompt with "golden hour", "dramatic side lighting", "neon-lit", and "studio Rembrandt lighting" and compare the differences. 4. **Negative prompt mastery:** Generate a landscape image; then incrementally improve quality by removing unwanted elements with "--no". 5. **Reference mixing:** Write a prompt that combines two different styles like "blend of Japanese ukiyo-e and modern digital art" and observe the result.
Tips to Keep in Mind When Writing Prompts
- **Order matters:** Place the most important elements at the beginning of your prompt; AI generally assigns more weight to earlier words. - **Separate with commas:** Clearly separate each concept group with commas. Write "portrait of a woman, red dress, studio lighting" instead of "portrait woman red dress". - **Specify exact numbers:** Write "bouquet of seven red roses" instead of "some flowers"; AI interprets concrete numbers better. - **Technical terms enhance quality:** Phrases like "8k resolution", "ultra detailed", "photorealistic", "RAW photo" can boost quality. - **Prompt weighting:** In Midjourney, you can control weights with "::". For example, "cat::2 garden::1" brings the cat to the foreground. - **Work iteratively:** Do not try to write the perfect prompt in one go; refine it step by step based on results.
Frequently Asked Questions
**How long should a prompt be?** We recommend a length of 30 to 75 words. Very short prompts produce ambiguous results, while very long prompts make it harder for the AI to set priorities. Keyword density matters more than word count.
**Can I write prompts in my native language?** Most AI image tools work much better with English prompts. Writing in other languages may result in semantic loss. Our recommendation: think in your language, write the prompt in English. If you need translation, use ChatGPT or DeepL.
**Which AI tool suits which prompt style?** Midjourney is very strong with artistic and aesthetic prompts. DALL-E 3 understands natural language descriptions well and excels at instruction following. Stable Diffusion is ideal for users who want detailed control through technical parameters and negative prompts.
**What is the seed number used for?** The seed is the AI's source of randomness. Same seed + same prompt = same (or very similar) image output. You can save the seed of a result you like and use it to generate variations.