> For the complete documentation index, see [llms.txt](https://docs.pletor.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.pletor.ai/models/image-models/krea-2.md).

# Krea 2

## Overview

Where some models may flatten toward a polished, "safe" aesthetic, Krea 2 holds onto expressive and niche styles. Available in two versions: 

* **Krea 2** (faster, cheap, consistent)
* **Krea 2 Pro** (larger, rawer, stronger on photorealism).

### Strengths for marketers

* **Style transfer**: Extract the style from one or several reference images and apply it to outputs, with per-reference strength control — the strongest system on the market for locking brand look.
* **Moodboards**: Pass in a moodboard of dozens of images and the model reads the overall direction — palette, texture, mood — applying it even to very simple prompts.
* **Tunable creativity**: A `creativity` parameter controls how far the model expands a loose prompt, from `raw` (literal) to `high` (full interpretation).
* **Aesthetic diversity**: Renders expressive, niche, and experimental looks without collapsing into a generic AI style.

### Ideal use cases

* **Brand-consistent art direction**: Use style references to hold a consistent look across a full set of assets.
* **Editorial & illustrative content**: Strong on illustration, anime, and painting for content that needs character.
* **Concepting & exploration**: Take a loose direction and get back visuals that spark the next idea.

### Weaknesses

* **Resolution capped at 1K** — for large-format or print, pair with an upscaling node.
* **Not a typography model** — for text-heavy layouts or precise lettering, route to a text-rendering specialist (Nano Banana, GPT, Seedream).

***

## How to use effectively

#### **Key principles**

Krea 2 rewards art direction over prompt detail:

* Lead with a moodboard or style reference when brand consistency matters.
* Tune `creativity` to control expansion — lower it (or use `raw`) when you need the model to stick to your prompt.
* Don't over-specify. The model fills the gaps you leave; let it.