---
title: "How to Prompt Krea 2: Write Prose, Not Tags"
description: "Krea 2 uses an LLM text encoder, so it reads natural sentences — not comma tags. Learn how to prompt Krea 2 Turbo, why negative prompts barely work, and what to do instead."
slug: how-to-prompt-krea-2
published: 2026-08-24
updated: 2026-08-24
tags: ["Krea 2", "prompting", "how-to"]
tldr:
  - "Krea 2's text encoder is a Qwen3-VL language model, so it understands full natural-language sentences far better than tag lists."
  - "Describe the subject, outfit, pose, lighting, composition, and colour palette in plain prose."
  - "On Krea 2 Turbo (CFG 1) negative prompts effectively don't work — say what you want in the positive prompt instead."
  - "You can try all of this instantly in the browser on AIFLUX."
reading_time: 5
---

Most image models were trained to read **tags** — `woman, red dress, studio light, 8k, masterpiece`. Krea 2 is different. Its text encoder is a **Qwen3-VL language model**, which means it reads your prompt the way a person reads a sentence. If you prompt Krea 2 like it's an older tag-based model, you're leaving most of its quality on the table.

## Rule #1: write sentences, not tags

Krea 2 rewards **natural prose**. Instead of a comma salad, describe the scene as if you were briefing a photographer.

**Weaker (tag style):**
> woman, denim jacket, city street, golden hour, bokeh, 50mm

**Stronger (prose style):**
> A candid photo of a woman in a light denim jacket walking down a quiet city street at golden hour. Warm side lighting rakes across her face, the background is softly out of focus, shot on a 50mm lens at eye level.

The second prompt gives the LLM encoder a coherent situation to render — subject, wardrobe, environment, time of day, lighting direction, framing, and lens — and Krea 2 composes it far more faithfully.

## What to include in a Krea 2 prompt

A reliable structure to describe, in order:

1. **Subject & action** — who/what, and what they're doing.
2. **Wardrobe / materials** — specific fabrics, colours, textures.
3. **Pose & framing** — full body, close-up, three-quarter, eye level, low angle.
4. **Lighting** — direction and quality (soft window light, hard sun, warm practicals).
5. **Environment** — where it is, and what's in the background.
6. **Look & palette** — the photographic style and dominant colours.

Concrete, physical detail works. If a specific look matters, spell it out in a full clause rather than hoping a single keyword carries it — the language encoder genuinely uses the extra description.

## Rule #2: on Turbo, forget the negative prompt

Here's the part that surprises people. **Krea 2 Turbo runs at CFG 1**, and at CFG 1 a classic negative prompt has essentially no effect — there's no guidance gap for it to push against. Techniques that inject negatives at CFG 1 on other architectures (like NAG) **don't hook into Krea 2's attention blocks**, so they don't help here either.

The practical takeaway: **say everything in the positive prompt.** Don't rely on a negative like "no blur, no extra fingers." Instead, positively describe the thing you want — "sharp focus throughout," "hands resting naturally at her sides." If you genuinely need strong negative guidance, that's a reason to use the slower **Raw** variant at a higher CFG, where negatives regain some effect (at 2× the time and some risk of over-saturated colour).

## Rule #3: lead with your trigger word (for LoRAs)

If you're using a character or style **LoRA**, put its trigger word at the **start** of the prompt, then continue in prose. On AIFLUX this is handled for you — when you select a trained model, its trigger word is prepended automatically, so you just write the scene.

## Try it live

The fastest way to feel the difference is to run the same idea as tags and as prose side by side. You can do that right now — **[open the Krea 2 generator on AIFLUX](/create)**, no install required.

## Frequently asked questions

**Does Krea 2 use tags or natural language?**
Natural language. Its text encoder is an LLM (Qwen3-VL), so full sentences outperform tag lists.

**Why doesn't my negative prompt work in Krea 2?**
Krea 2 Turbo runs at CFG 1, where negative prompts have effectively no influence, and CFG-1 negative techniques like NAG don't attach to this architecture. Describe what you want positively, or switch to Raw at a higher CFG.

**How long should a Krea 2 prompt be?**
As long as it needs to describe the scene clearly. A few well-formed sentences usually beat both a single keyword and an overloaded wall of text.

**Where do I put a LoRA trigger word?**
At the very start of the prompt. On AIFLUX it's added automatically when you pick a model.

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*Put it into practice:* **[Generate with Krea 2 on AIFLUX →](/create)**