AI Image Prompts: The Complete Midjourney, DALL-E 3 & Flux Guide (2026) --- ## Further Reading - [Context Engineering vs Prompt Engineering: Why Structure Beats Syntax in 2026](/blog/context-engineering-vs-prompt-engineering-2026) - [STCO Framework Masterclass: Build Architect-Grade Prompts](/blog/stco-framework-masterclass) - [AI Prompt Templates Guide](/blog/ai-prompt-templates-guide)

Text prompting and image prompting are fundamentally different skills. In text prompting, you give instructional commands. In image prompting, you describe what the final image looks like — every word is a weighted tag that influences the probability distribution of pixels.

Anatomy of a Great Image Prompt

Every high-quality image prompt contains six core building blocks: Subject (the primary focus), Style (artistic genre), Medium (simulated camera/material), Lighting (quality and direction of light), Composition (camera angle and framing), and Mood/Atmosphere (emotional tone and colour palette). The formula: Subject + Style/Medium + Lighting + Composition + Mood + Technical Parameters.

Midjourney Guide

Midjourney excels at painterly, cinematic, and conceptual imagery. Key parameters: --ar (aspect ratio), --v (model version), --stylize (aesthetic intensity 0–1000), --chaos (variation 0–100), --no (negative prompting), --style raw (literal output). Use concise, comma-separated descriptors — not full sentences.

DALL-E 3 Guide

DALL-E 3 uses natural language descriptions and excels at text rendering within images, literal instruction following, and multi-element scenes. Choose between vivid (dramatic) and natural (photorealistic) styles, with sizes 1024×1024, 1792×1024, or 1024×1792.

Flux & Stable Diffusion

Flux by Black Forest Labs offers open-source image generation with full pipeline control. Flux.1 [pro] matches Midjourney quality; [dev] is open-weight for local use; [schnell] generates in 4 steps. ComfyUI provides node-based workflows for professional control. Always use negative prompts and tune CFG scale (7–9 sweet spot).

Common Mistakes

Seven critical mistakes: ignoring aspect ratio, overloading prompts with too many descriptors, forgetting negative prompts, being too vague about style, using the same syntax across platforms, never iterating, and ignoring lighting descriptors. Lighting is the single biggest factor in image quality.