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 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.
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.
