File size: 4,734 Bytes
c1190d7 dca2594 c1190d7 1c482e3 c1190d7 dca2594 c1190d7 8e5579b ca201e8 c1190d7 d0d4674 1c482e3 c1190d7 8e5579b ca201e8 d0d4674 1c482e3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 | ---
license: other
license_name: per-file
tags:
- image-restoration
- hdr
- denoising
- low-light
- optical-flow
---
# 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 |
## optical_flow/
FlowSeek's released checkpoints, converted to safetensors with every tensor unchanged. Each
carries the Depth Anything V2 Small weights FlowSeek reads depth with. `LICENSE-FlowSeek` and
`NOTICE-FlowSeek.md` beside them are upstream's own.
| File | Original | Licence |
|---|---|---|
| `optical_flow/flowseek_t_ct.safetensors` | `flowseek_T_CT.pth` from [mattpoggi/flowseek](https://github.com/mattpoggi/flowseek), Matteo Poggi and Fabio Tosi | Apache-2.0 |
| `optical_flow/flowseek_t_tskh.safetensors` | `flowseek_T_TartanCT_TSKH.pth`, same | Apache-2.0 |
## 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.
Poggi and Tosi, FlowSeek: Optical Flow Made Easier with Depth Foundation Models
and Motion Bases, ICCV 2025.
Yang et al., Depth Anything V2, NeurIPS 2024.
|