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Advanced Prompt Engineering Techniques
Master the art of prompt engineering to achieve better results with AI image generation.
AuthorKokoroLab Team
PublishedJanuary 22, 2024
Read Time8 min
Advanced Prompt Engineering Techniques
Prompt engineering is both an art and a science. The quality of your prompts directly impacts the quality of generated images.
Understanding Prompt Structure
A well-structured prompt typically includes:
- Subject: What you want to create
- Style: Artistic style or aesthetic
- Composition: Layout and framing
- Details: Specific elements, colors, lighting
- Quality Modifiers: Terms like "high quality", "detailed", "professional"
Advanced Techniques
1. Weighted Prompts
Use parentheses to emphasize certain elements:
- Increases emphasis(beautiful sunset:1.5)
- Decreases emphasis(background:0.8)
2. Negative Prompts
Specify what you DON'T want:
- "no text", "no watermark", "no blur"
3. Style References
Reference specific artists or art movements:
- "in the style of Van Gogh"
- "impressionist painting"
- "anime style"
4. Technical Specifications
Include technical details:
- Resolution: "4K", "8K", "high resolution"
- Camera settings: "f/2.8", "shallow depth of field"
- Lighting: "golden hour", "studio lighting"
Common Mistakes to Avoid
- Too Vague: "a nice picture" won't give good results
- Too Complex: Overloading with too many details can confuse the model
- Ignoring Negative Prompts: Not specifying what to avoid
- Not Iterating: Expecting perfect results on first try
Pro Tips
- Keep a prompt library of successful prompts
- Study examples from the community
- Test variations systematically
- Document what works for your use case
Mastering prompt engineering takes practice, but the results are worth it!
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