Professional Generative Image Prompt Engineering Guide
This comprehensive guide delivers expert-level prompt engineering techniques for major generative AI image platforms in 2026, including GPT-Image-2, Midjourney V7, Flux 1.2+, Stable Diffusion 3.5, and Ideogram 3. It covers foundational visual language, photography terminology, artistic styles, model-specific syntax, universal prompt structures, failure pattern fixes, and hybrid professional workflows with copy-paste-ready templates.
Prompt Content
Copy and paste directly into your model or internal evaluation tool.
Create a comprehensive professional guide to generative image prompt engineering covering: visual language foundations (composition, perspective, shot types, color theory, mood, texture), photography & optics terminology (cameras, lenses, aperture, film stocks, lighting), art direction & style references (art movements, digital styles, master artists, cinematic palettes), and detailed model-specific techniques for GPT-Image-2, Midjourney V7, Flux 1.2+, Stable Diffusion 3.5, and Ideogram 3. Include universal prompt structure, strong vs weak prompt comparisons, common failure patterns with fixes, model selection guide, and hybrid professional workflows. Provide actionable, copy-paste-ready prompt templates optimized for each platform.
Use Cases
Reference Output
A well-structured guide document with 14 core sections, covering everything from foundational visual grammar to advanced hybrid workflows. Each model section includes specific parameter examples and troubleshooting tips, accompanied by a strong vs weak prompt comparison table and a model selection decision guide.
Scoring Rubric
Guide Completeness (30%): Coverage of all required modules; Technical Accuracy (25%): Correctness of terminology and parameters; Practical Utility (25%): Copy-paste readiness of prompt templates; Clarity of Language (10%): Ease of understanding; Example Quality (10%): Representativeness of comparison cases. Total 100 points, 90+ considered excellent.
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