Will these templates work in any image model?

The descriptive templates work well in Midjourney, Stable Diffusion, DALL·E, Flux, and Ideogram because they rely on plain language and concrete detail rather than model-specific syntax. Midjourney users can append parameters like --ar and --style; SD users can add weight syntax. The core description transfers cleanly.

What do the brackets mean?

Anything in [brackets] is a placeholder you should replace with your own subject or detail — for example [subject], [color], or [setting]. Filling them in is what turns a generic template into your specific image.

Why structure prompts this way?

These templates front-load the subject and medium, then layer composition, lighting, and quality cues in the order most models weight them. That structure produces more consistent, controllable results than a loose pile of keywords, and it makes it easy to swap one element without rewriting the whole prompt.

Is anything sent anywhere when I copy?

No. The library runs entirely in your browser and only copies text to your clipboard. Nothing is uploaded or stored.

AI Image Prompt Template Library

AI image prompt template library

Good image prompts follow patterns: lead with subject and medium, then layer composition, lighting, and quality cues. This library collects battle-tested templates across portrait, landscape, product, icon, concept art, character, and abstract categories. Each one is a ready structure with [bracketed] placeholders you swap for your specifics — copy, customize, paste.

How it works

Filter by category and style, or search by keyword to find a template that matches your subject. Templates are written in plain descriptive language so they transfer across Midjourney, Stable Diffusion, DALL·E, Flux, and Ideogram. The copy button puts the template on your clipboard; fill in the brackets and add any model-specific parameters (Midjourney --ar, SD weights) yourself.

Tips for customizing

Replace every bracket. A leftover [subject] in the final prompt confuses the model — fill or delete each placeholder.
Keep the order. The subject-first, quality-last structure is deliberate; reordering tends to weaken the result.
Add one detail at a time. Start from a template, generate, then add a single modifier and regenerate so you can see what each change does.
Layer model parameters last. Append --ar 3:2 or weight syntax after the descriptive text, never in the middle of it.