Writing prompts for image generators is fundamentally different from writing prompts for text AI. While text prompts are conversational, image prompts are more like descriptive blueprints — every word shapes the visual output.
How Image AI Interprets Prompts
Image generators process your text through a model called CLIP (or similar) that maps words to visual concepts. Understanding this helps you write better prompts:
- Word order matters — Earlier words in your prompt often carry more weight. Lead with the most important elements.
- Specificity beats vagueness — "A golden retriever puppy sitting in autumn leaves" produces far better results than "a dog outside."
- Style descriptors are powerful — Terms like "cinematic lighting," "oil painting," or "35mm film photography" dramatically change the output.
- Avoid negation in positive prompts — Saying "no trees" doesn't work well. Use negative prompts instead (covered in Lesson 4).
The Anatomy of a Great Image Prompt
A strong prompt typically includes these components:
- Subject — What is the main focus? ("A cyberpunk samurai")
- Action/Pose — What are they doing? ("standing on a rooftop")
- Environment — Where is the scene set? ("neon-lit Tokyo skyline at night")
- Style — What artistic approach? ("digital art, cinematic, highly detailed")
- Technical details — Camera, lighting, composition? ("wide-angle lens, dramatic backlighting")
Example Progression
Basic: "A castle" Better: "A medieval castle on a cliff overlooking the ocean" Best: "A weathered medieval castle perched on dramatic sea cliffs, stormy ocean below, golden hour lighting breaking through dark clouds, cinematic composition, photorealistic, 4K detail"
Platform Differences
- Midjourney — Excels at artistic, stylized images. Responds well to aesthetic descriptors and artist references.
- DALL-E 3 — Best at following complex instructions precisely. Handles text in images well.
- Stable Diffusion — Most customizable with models, LoRAs, and ControlNet. Requires more technical prompting.
- Flux — Fast, high-quality generation with strong prompt adherence and natural language understanding.
The best image prompt engineers think visually. Before writing, close your eyes and picture exactly what you want to see.