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	---
	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;">

	<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/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;">
	</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/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;">
	</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/czAC6lPdRYLO9V4_66JAB.png" alt="example 5" 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/LWyp8vk0Efcw_FkCqeIyG.png" alt="example 6" 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/obU70G3AQKfuVYm4IMg8S.png" alt="example 7" 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/bB0JT_g8oIEAXW5VKLuti.png" alt="example 8" 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/q7nFUMLtBQTNTd4fdOgFi.png" alt="example 9" 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/1_20fLkU-bgFSF77UNAYw.png" alt="example 10" 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/b4nyATDLg43UxL43joOJK.png" alt="example 11" 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/5FN7qAcabE_V89leVEeAA.png" alt="example 12" 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/E8wtu0DSsDPVg0E0Y0wqS.png" alt="example 13" 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/7BJIXwVKjjbTzB_9hdby2.png" alt="example 14" 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/qgxG4CykI8T60YdEfN6WL.png" alt="example 15" style="width:320px; height:320px; object-fit:cover; border-radius:8px;">
	</div>


	</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.