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| license: other | |
| license_name: per-file | |
| tags: | |
| - image-restoration | |
| - hdr | |
| - denoising | |
| - low-light | |
| # 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](https://github.com/cszn/SCUNet), Kai Zhang | Apache-2.0 | | |
| | `NAFNet-SIDD-width32.pth` | [megvii-research/NAFNet](https://github.com/megvii-research/NAFNet) | MIT, with Apache-2.0 for BasicSR | | |
| | `NAFNet-SIDD-width64.pth` | [megvii-research/NAFNet](https://github.com/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](https://github.com/gabrieleilertsen/hdrcnn), Gabriel Eilertsen | BSD-3-Clause | | |
| ## low_light/ | |
| | File | Original | Licence | | |
| |---|---|---| | |
| | `hvi-cidnet-generalization.safetensors` | [Fediory/HVI-CIDNet](https://github.com/Fediory/HVI-CIDNet) | MIT | | |
| | `hvi-cidnet-sice.safetensors` | [Fediory/HVI-CIDNet](https://github.com/Fediory/HVI-CIDNet) | MIT | | |
| | `hvi-cidnet-sony-total-dark.safetensors` | [Fediory/HVI-CIDNet](https://github.com/Fediory/HVI-CIDNet) | MIT | | |
| | `hvi-cidnet-fivek.safetensors` | [Fediory/HVI-CIDNet](https://github.com/Fediory/HVI-CIDNet) | MIT | | |
| | `retinexformer-ntire.pth` | [caiyuanhao1998/Retinexformer](https://github.com/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](https://github.com/cidautai/DarkIR) | MIT | | |
| ## birefnet/ | |
| | File | Original | Licence | | |
| |---|---|---| | |
| | `birefnet/General.safetensors` | [ZhengPeng7/BiRefNet](https://github.com/ZhengPeng7/BiRefNet) | MIT | | |
| | `birefnet/General-HR.safetensors` | [ZhengPeng7/BiRefNet](https://github.com/ZhengPeng7/BiRefNet) | MIT | | |
| | `birefnet/General-dynamic.safetensors` | [ZhengPeng7/BiRefNet](https://github.com/ZhengPeng7/BiRefNet) | MIT | | |
| | `birefnet/General-reso_512.safetensors` | [ZhengPeng7/BiRefNet](https://github.com/ZhengPeng7/BiRefNet) | MIT | | |
| | `birefnet/DIS.safetensors` | [ZhengPeng7/BiRefNet](https://github.com/ZhengPeng7/BiRefNet) | MIT | | |
| | `birefnet/DIS-TR_TEs.safetensors` | [ZhengPeng7/BiRefNet](https://github.com/ZhengPeng7/BiRefNet) | MIT | | |
| | `birefnet/COD.safetensors` | [ZhengPeng7/BiRefNet](https://github.com/ZhengPeng7/BiRefNet) | MIT | | |
| | `birefnet/HRSOD.safetensors` | [ZhengPeng7/BiRefNet](https://github.com/ZhengPeng7/BiRefNet) | MIT | | |
| | `birefnet/Matting-HR.safetensors` | [ZhengPeng7/BiRefNet](https://github.com/ZhengPeng7/BiRefNet) | MIT | | |
| | `birefnet/Portrait.safetensors` | [ZhengPeng7/BiRefNet](https://github.com/ZhengPeng7/BiRefNet) | MIT | | |
| ## ben2/ | |
| | File | Original | Licence | | |
| |---|---|---| | |
| | `ben2/ben2-base.safetensors` | [PramaLLC/BEN2](https://huggingface.co/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. | |