WAS/was-node-suite-weights

WAS Node Suite weights

A stable mirror of the checkpoints the WAS Node Suite Power Preprocessor loads, so a node does not break when a third-party copy is moved or removed. Nothing here is trained by this project. Every file keeps the licence of the work it came from, and each is listed with its origin below.

denoise/

File	Original	Licence
scunet_color_real_psnr.pth	cszn/SCUNet, Kai Zhang	Apache-2.0
NAFNet-SIDD-width32.pth	megvii-research/NAFNet	MIT, with Apache-2.0 for BasicSR
NAFNet-SIDD-width64.pth	megvii-research/NAFNet	MIT, with Apache-2.0 for BasicSR

hdr/

Converted to safetensors for native ComfyUI inference.

File	Original	Licence
hdrcnn.safetensors	gabrieleilertsen/hdrcnn, Gabriel Eilertsen	BSD-3-Clause

low_light/

File	Original	Licence
hvi-cidnet-generalization.safetensors	Fediory/HVI-CIDNet	MIT
hvi-cidnet-sice.safetensors	Fediory/HVI-CIDNet	MIT
hvi-cidnet-sony-total-dark.safetensors	Fediory/HVI-CIDNet	MIT
hvi-cidnet-fivek.safetensors	Fediory/HVI-CIDNet	MIT
retinexformer-ntire.pth	caiyuanhao1998/Retinexformer	MIT
retinexformer-lol-v1.pth	same	MIT
retinexformer-lol-v2-real.pth	same	MIT
retinexformer-lol-v2-synthetic.pth	same	MIT
retinexformer-fivek.pth	same	MIT
retinexformer-sid.pth	same	MIT
retinexformer-smid.pth	same	MIT
retinexformer-sdsd-indoor.pth	same	MIT
retinexformer-sdsd-outdoor.pth	same	MIT
darkir-m.pt	cidautai/DarkIR	MIT

birefnet/

File	Original	Licence
birefnet/General.safetensors	ZhengPeng7/BiRefNet	MIT
birefnet/General-HR.safetensors	ZhengPeng7/BiRefNet	MIT
birefnet/General-dynamic.safetensors	ZhengPeng7/BiRefNet	MIT
birefnet/General-reso_512.safetensors	ZhengPeng7/BiRefNet	MIT
birefnet/DIS.safetensors	ZhengPeng7/BiRefNet	MIT
birefnet/DIS-TR_TEs.safetensors	ZhengPeng7/BiRefNet	MIT
birefnet/COD.safetensors	ZhengPeng7/BiRefNet	MIT
birefnet/HRSOD.safetensors	ZhengPeng7/BiRefNet	MIT
birefnet/Matting-HR.safetensors	ZhengPeng7/BiRefNet	MIT
birefnet/Portrait.safetensors	ZhengPeng7/BiRefNet	MIT

ben2/

File	Original	Licence
ben2/ben2-base.safetensors	PramaLLC/BEN2	MIT

Citations

Zhang et al., Practical Blind Denoising via Swin-Conv-UNet and Data Synthesis, 2022.
Chen et al., Simple Baselines for Image Restoration, ECCV 2022.
Yan et al., HVI: A New Color Space for Low-light Image Enhancement, CVPR 2025.
Cai et al., Retinexformer: One-stage Retinex-based Transformer for Low-light
Image Enhancement, ICCV 2023.
Feijoo et al., DarkIR: Robust Low-Light Image Restoration, 2024.
Zheng et al., Bilateral Reference for High-Resolution Dichotomous Image
Segmentation, 2024.