Krea-R-Turbo Link to Model: https://huggingface.co/realrebelai/Krea-R-Turbo/tree/main Test the model on HF Spaces for free: 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...
Runtime profile
Source description
Krea-R-Turbo
Link to Model: https://huggingface.co/realrebelai/Krea-R-Turbo/tree/main
Test the model on HF Spaces for free: 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 : LoRA-merged, then quantized. It is not the original checkpoint.
Sources
1 sourceSource excerpts
3 excerptsKrea-R-Turbo Link to Model: https://huggingface.co/realrebelai/Krea-R-Turbo/tree/main Test the model on HF Spaces for free: 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…
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.
FileType~SizeNotes
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 GBExcellent quality, hard to tell from Q8.
Krea-R-Turbo-Q5_K_M.gguf Q5_K_M~9.4 GBGreat 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 GBTightest 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:
FileFolder Krea-R-Turbo-QX.gguf (this repo) ComfyUI/models/unet/ (or diffusion_models/ ) qwen3vl_4b text encoder ComfyUI/models/text_encoders/qwen_image_vae.safetensorsComfyUI/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 .
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 custom node
Qwen3-VL 4B text encoder + Qwen-image VAE (from 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 . 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 (distilled from krea/Krea-2-Raw )
ComfyUI repack (VAE / text encoder): Comfy-Org/Krea-2
GGUF tooling based on city96's 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
Hugging Face: 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 tracker.
Krea-R-Turbo Link to Model: https://huggingface.co/realrebelai/Krea-R-Turbo/tree/main Test the model on HF Spaces for free: https://huggingface.co/spaces/realrebelai/Krea-R-Turbo Full Weight and GGUF quants of custom merge of Krea-2-Turbo and 2 of my…
Rebels Krea-R-Turbo
