image7 min read · Published 2026-07-10 · Updated 2026-08-01
How to Structure Image Prompts (Subject · Atmosphere · Technical)
A practical three-layer system for Midjourney, Flux, and Grok Imagine so revisions stay controllable.
promptcrates stores image prompts as three semantic layers: Subject, Atmosphere, and Technical. This guide explains why that structure works for both humans and AI answer engines.
The three layers
- Subject — who or what is on screen; lock this first
- Atmosphere — light, mood, environment; iterate here most
- Technical — aspect ratio, camera, quality flags; stabilize last
Revision loop that actually works
- Copy a curated prompt from the Image library
- Change only the Subject layer for a new character or product
- Swap Atmosphere for a different time of day or location
- Touch Technical last (ratio, sharpness, model flags)
Common mistakes
- Changing three things at once — you never learn what fixed the shot
- Stuffing style words into Subject — keep style in Atmosphere/Technical
- Ignoring aspect ratio until the end — set ratio early for composition
FAQ
- Does this work for Midjourney and Flux?
- Yes. The layers are model-agnostic. Only the Technical flags (e.g. --ar, stylize) change per tool.
- Where can I find ready-made segmented prompts?
- Browse the Image library on promptcrates.app — every entry uses the three-layer format with color highlights.
Reviewed by promptcrates Editorial · Keywords: image prompt structure, midjourney prompt, flux prompt, subject atmosphere technical