Krea-R-Turbo
Try Krea-R-Turbo in SPACES!
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.
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.
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 guidance0 - Sampler / scheduler:
er_sde+simpleworks well (oreuler+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 fromkrea/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.