File size: 10,742 Bytes

---
license: other
license_name: krea-2-community-license
license_link: https://huggingface.co/krea/Krea-2-Turbo/blob/main/LICENSE.pdf
base_model:
- krea/Krea-2-Turbo
base_model_relation: quantized
pipeline_tag: text-to-image
library_name: gguf
tags:
- gguf
- comfyui
- krea-2
- text-to-image
- quantized
- lora-merge
language:
- en
---


# Krea-R-Turbo


## Try Krea-R-Turbo in SPACES! 
[![Open in Spaces](https://img.shields.io/badge/%F0%9F%A4%97%20Demo-Krea--R--Turbo-orange)](https://huggingface.co/spaces/realrebelai/Krea-R-Turbo)

Full Weight and GGUF quants of custom merge of Krea-2-Turbo and 2 of my style LoRAs at specific strength values. Displays a heavy focus on photorealistic portraits to achieve high grade aesthetics while also retaining Krea-2s sharp detail!

This is a **derivative** of [`krea/Krea-2-Turbo`](https://huggingface.co/krea/Krea-2-Turbo):
LoRA-merged, then quantized. It is not the original checkpoint.


<div class="gallery-scroll" style="display:flex; overflow-x:auto; gap:12px; padding:12px 0; scroll-snap-type:x mandatory; -webkit-overflow-scrolling:touch;">

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    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/NxFqJVPgiC23FJb5E3P_W.png" alt="example 0" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
  </div>

   <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/rKx3tlkox7xed4bFjAk4d.png" alt="example 1" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
  </div>

<div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/yO5fjW-qKFm-pl-a0ajf6.png" alt="example 0" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
  </div>

<div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/1ERTV67fJyEEFcCt61hmV.png" alt="example 0" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
  </div>

 <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/XhsOGve0z8yigKLT_0RII.png" alt="example 2" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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  <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/R1UBSmw2iMed0D2qGuUEZ.png" alt="example 3" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
  </div>

  <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/V4Q4dCa1WESKEOQeGHXRo.png" alt="example 4" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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  <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/czAC6lPdRYLO9V4_66JAB.png" alt="example 5" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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  <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/LWyp8vk0Efcw_FkCqeIyG.png" alt="example 6" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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  <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/obU70G3AQKfuVYm4IMg8S.png" alt="example 7" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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  <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/bB0JT_g8oIEAXW5VKLuti.png" alt="example 8" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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  <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/q7nFUMLtBQTNTd4fdOgFi.png" alt="example 9" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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  <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/1_20fLkU-bgFSF77UNAYw.png" alt="example 10" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/b4nyATDLg43UxL43joOJK.png" alt="example 11" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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  <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/5FN7qAcabE_V89leVEeAA.png" alt="example 12" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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  <div class="gallery-item" style="flex:0 0 auto; scroll-snap-align:start; width:320px;">
    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/E8wtu0DSsDPVg0E0Y0wqS.png" alt="example 13" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/7BJIXwVKjjbTzB_9hdby2.png" alt="example 14" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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    <img src="https://cdn-uploads.huggingface.co/production/uploads/68761990332d15464ccc8dee/qgxG4CykI8T60YdEfN6WL.png" alt="example 15" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
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</div>



## Quants

Pick by how much VRAM you can spare for the diffusion model (leave room for the text
encoder + VAE). Sizes are approximate — see the **Files** tab for exact numbers.

| File | Type | ~Size | Notes |
|------|------|-------|-------|
| `Krea-R-Turbo-Q8_0.gguf`   | Q8_0   | ~14 GB  | Near-lossless. For 16 GB+ cards or offload. |
| `Krea-R-Turbo-Q6_K.gguf`   | Q6_K   | ~11 GB  | Excellent quality, hard to tell from Q8. |
| `Krea-R-Turbo-Q5_K_M.gguf` | Q5_K_M | ~9.4 GB | Great quality/size balance. |
| `Krea-R-Turbo-Q4_K_M.gguf` | Q4_K_M | ~8.0 GB | **Recommended all-rounder.** 12 GB cards, or 8 GB with offload. |
| `Krea-R-Turbo-Q3_K_M.gguf` | Q3_K_M | ~6.4 GB | **Best pick for 8 GB VRAM.** Small quality trade. |
| `Krea-R-Turbo-Q2_K.gguf`   | Q2_K   | ~5.5 GB | Tightest fit. Visible degradation but usable. |

On an 8 GB card (e.g. RTX 3070), Q3_K_M or Q2_K fit most comfortably alongside the VAE
and text encoder. Larger quants still run via ComfyUI's `--lowvram` / block-swap
offload — just slower.

---

## Usage in ComfyUI

**Place the files:**

| File | Folder |
|------|--------|
| `Krea-R-Turbo-QX.gguf` (this repo) | `ComfyUI/models/unet/` (or `diffusion_models/`) |
| `qwen3vl_4b` text encoder | `ComfyUI/models/text_encoders/` |
| `qwen_image_vae.safetensors` | `ComfyUI/models/vae/` |

The text encoder (Qwen3-VL 4B) and VAE (Qwen-image VAE) are the standard Krea 2 companions
and can be pulled from the ComfyUI repack:
[`Comfy-Org/Krea-2`](https://huggingface.co/Comfy-Org/Krea-2).

**Wire it up:** load the GGUF with the **Unet Loader (GGUF)** node,
feed it the Qwen3-VL text encoder and Qwen-image VAE, and sample as normal Krea 2 Turbo.

### Recommended sampling

Krea 2 Turbo is a distilled, few-step model:

- **Steps:** ~8
- **Guidance:** CFG-free — set CFG to `1.0` (no negative prompt), or guidance `0`
- **Sampler / scheduler:** `er_sde` + `simple` works well (or `euler` + `simple`)
- **Resolution:** up to 2048², 1024–1280 sweet spot on 8 GB

No positive/negative CFG split is needed; this checkpoint was distilled without it.

---

## Requirements

- ComfyUI (recent build with Krea 2 support)
- [RealRebelAI/ComfyUI-GGUF_KREA-2](https://github.com/RealRebelAI/ComfyUI-GGUF_KREA-2) custom node
- Qwen3-VL 4B text encoder + Qwen-image VAE (from [`Comfy-Org/Krea-2`](https://huggingface.co/Comfy-Org/Krea-2))

This repo contains the **diffusion model (transformer) only** — it will not generate
anything on its own without the VAE and text encoder above.

---

## License & attribution

These weights are a derivative of **Krea 2 Turbo** © Krea.ai, Inc., and remain governed
by the **Krea 2 Community License Agreement** and the **Krea Acceptable Use Policy** —
exactly as the original model. See the license:
[LICENSE.pdf](https://huggingface.co/krea/Krea-2-Turbo/blob/main/LICENSE.pdf).
In the event of any conflict, the Krea Acceptable Use Policy and Krea 2 Community License
control.

**Deployer obligation:** if you serve or redistribute this model, the license requires
you to implement content-filtering or equivalent review to prevent generation or
distribution of unlawful or policy-violating content. Report harmful or illegal outputs
to `safety@krea.ai`.

Upstream:
- Base model: [`krea/Krea-2-Turbo`](https://huggingface.co/krea/Krea-2-Turbo) (distilled from [`krea/Krea-2-Raw`](https://huggingface.co/krea/Krea-2-Raw))
- ComfyUI repack (VAE / text encoder): [`Comfy-Org/Krea-2`](https://huggingface.co/Comfy-Org/Krea-2)
- GGUF tooling based on city96's [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF)

The merge and quantization are RealRebelAI's work; the underlying
model rights belong to Krea.ai, Inc.

---

## Credits

Merged, quantized, and released by **RealRebelAI**.

- GitHub: [github.com/RealRebelAI](https://github.com/RealRebelAI)
- Hugging Face: [huggingface.co/realrebelai](https://huggingface.co/realrebelai)

If these are useful, a like on the repo helps others find them. Issues with loading go on
the [ComfyUI-GGUF_KREA-2](https://github.com/RealRebelAI/ComfyUI-GGUF_KREA-2) tracker.