Midjourney / Dall-E Prompt Builder
Structure your image ideas into professional, high-output AI prompts.
Mastering AI Image Prompts
Large Language Models like Midjourney and Dall-E don’t just see text; they interpret patterns, styles, and technical keywords. A basic phrase often yields generic results. Effective prompt building is about layering descriptive elementsβSubject, Style, Lighting, Camera, and Qualityβto guide the AI toward a specific visual manifestation.
[Image: Visual Guide on how adding keywords changes AI output]The Anatomy of a Pro Prompt
Core Subject & Context
Clearly define WHAT you want to see. Instead of “A car,” use “A vintage 1969 Ford Mustang covered in rain droplets.” Context matters!
Artistic Modifiers
Style (e.g., ‘Van Gogh style’), Medium (e.g., ‘Oil Painting’), Lighting (e.g., ‘Golden Hour’), and Resolution keywords (e.g., ‘8k’) provide the texture and mood.
Global Prompt Engineering Best Practices
- The Law of Specificity: General terms create noise. The AI is smarter than you think but it cannot read your mind. Be precise.
- Order Matters: Most image models weigh the first few words of a prompt more heavily than the words at the end. Put your main subject first.
- Emphasizing Keywords: In Midjourney, use double colons (::2 or ::5) after a keyword to tell the AI it’s more important. In Dall-E, just descriptive adjectives work well.
- Negative Prompting: While this tool builds positive prompts, professional users often add things to *exclude*, like `–no blur, low resolution, ugly` in Midjourney.
Pro Tip: Don’t just stick to realism. AI thrives on conceptual blending. Try combining opposite styles, like **”A futuristic city in the style of Monet”** or **”A photorealistic portrait of an ancient god made of data cables.”**
