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Open-weight model · Image to image

SCUNet-color-real-psnr-fp32

by Rinat Maksutov Rennart/SCUNet-color-real-psnr-fp32

SCUNet-color-real-psnr-fp32 is an open-weight model for image to image from Rinat Maksutov, released under MIT License. Its published files total 72.0 MB.

Mirror of the original SCUNet checkpoint scunetcolorrealpsnr.pth, unchanged. Used by the ComfyUI node Rennart Denoise (ComfyUI-Rennart), which downloads it automatically. Loads in ComfyUI with the standard Load Upscale Model node (spandrel).

Parameters—
Context—
Weights72.0 MB
Licensemit
AccessOpen weights
Monthly Downloads—

Model Card

By Rinat Maksutov, published under mit, revision 0edeef2da5e8.

Mirror of the original SCUNet checkpoint scunetcolorrealpsnr.pth, unchanged. Used by the ComfyUI node Rennart Denoise (ComfyUI-Rennart), which downloads it automatically. Loads in ComfyUI with the standard Load Upscale Model node (spandrel). Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis, Machine Intelligence Research, 2023. MIT — Copyright (c) Kai Zhang. The original license text: https://github.com/cszn/KAIR/blob/master/LICENSE

Read Rinat Maksutov's full model card

SCUNet color real psnr (PyTorch, fp32)

Mirror of the original SCUNet checkpoint scunet_color_real_psnr.pth, unchanged. Used by the ComfyUI node Rennart Denoise (ComfyUI-Rennart), which downloads it automatically.

File scunet_color_real_psnr.pth
SHA256 fa78899ba2caec9d235a900e91d96c689da71c42029230c2028b00f09f809c2e
Format PyTorch state dict, fp32, NCHW (original layout)
Architecture SCUNet, config=[4]*7, dim=64, scale 1x
Variant PSNR-oriented training — smoother, more faithful to the source

Loads in ComfyUI with the standard Load Upscale Model node (spandrel).

Credits

  • Paper: Kai Zhang, Yawei Li, Jingyun Liang, Jiezhang Cao, Yulun Zhang, Hao Tang, Deng-Ping Fan, Radu Timofte, Luc Van Gool — Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis, Machine Intelligence Research, 2023.
  • Code: cszn/SCUNet (Apache-2.0)
  • Weights: cszn/KAIR release v1.0 (MIT)

License

MIT — Copyright (c) Kai Zhang. The original license text: https://github.com/cszn/KAIR/blob/master/LICENSE

Identity and Version

Repository
Rennart/SCUNet-color-real-psnr-fp32
Publisher
Rinat Maksutov
Task
Image to image
Modality
Image
Library
Not stated by the source
Parameters
Not stated by the source
Languages
Not stated by the source
Revision
0edeef2da5e85a410e1c83fd4a01044a3114c3d1
First published
2026-10-18
Last updated
2026-10-18

Files and Weights

3 files, 72.0 MB in total. The weights are 1 file totalling 72.0 MB in pth.

Weights1 file · 72.0 MB
Documentation1 file · 1.3 KB
Repository1 file · 1.5 KB
Every file
FileTypeSizeSHA-256
scunet_color_real_psnr.pthWeights72.0 MB fa78899ba2ca
README.mdDocumentation1.3 KB —
.gitattributesRepository1.5 KB —

License and Download

License
mit
Access
Open weights, no gate
Download size
72.0 MB
Download from Rinat Maksutov

Released by Rinat Maksutov through its official repository on Hugging Face. Read the license.

Memory Requirements

PrecisionWeights in memory
As published72.0 MB

Weights only, from the published parameter count; the key-value cache and runtime add to this.

Questions About SCUNet-color-real-psnr-fp32

Can I use SCUNet-color-real-psnr-fp32 commercially?

Yes. SCUNet-color-real-psnr-fp32 is released under MIT License. The MIT License is a short permissive license. It permits commercial use, modification and redistribution, provided the copyright notice and permission notice are included.

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