Gera Tools

AI Image Prompt Template Library

Proven prompt templates for portraits, landscapes, products, and more

Searchable library of battle-tested AI image prompt templates across portrait, landscape, product, icon, concept art, character, and abstract categories. Filter by category and style, copy any template, and customize the bracketed placeholders. It runs free in your browser on Gera Tools, with nothing uploaded.

Last updated Source: Gera Tools

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.

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.

Why structure matters in image prompts

It is tempting to write image prompts as free-flowing descriptions, the way you might describe something to a person. But AI image models respond to information in a particular order, and the way you structure a prompt significantly affects what you get.

The pattern that consistently produces the most controllable results is:

  1. Subject — what the image is primarily of, stated clearly at the start
  2. Medium or style — the visual language (oil painting, digital illustration, photograph)
  3. Composition — framing, angle, scale (close-up, wide shot, bird’s eye view)
  4. Lighting — the single most powerful mood lever (golden hour, dramatic rim light, soft diffuse)
  5. Quality modifiers — resolution and render quality cues (highly detailed, sharp focus)
  6. Model parameters — aspect ratio and other syntax placed last

When elements appear in this order, the model resolves subject and style first — which produces the most coherent images — and quality modifiers last, where they act as a finishing instruction rather than competing with the subject for attention.

Categories in the library

  • Portrait — people, faces, expressions, and character lighting setups
  • Landscape — environments, panoramas, weather, and time-of-day compositions
  • Product — commercial-style product photography on clean or contextual backgrounds
  • Icon — flat and isometric icon styles, consistent colour palettes
  • Concept art — environment and character concept work for games and film
  • Character — full-body character design with style and costume guidance
  • Abstract — non-representational compositions using shape, colour, and texture

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.