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Open source

ComfyUI-FBCNN

JPEG artifacts removal using FBCNN model ported to ComfyUI

Maintainer@MiospBgrade

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Status
Verified
Publisher
@Miosp
Source
GitHub
Stars
46

README

ComfyUI-FBCNN

ComfyUI implementation of FBCNN

What is it?

This is a JPEG artifact/compression removal tool, which can work automatically or with the help of a user.

Installation

Download or git clone this repository inside ComfyUI/custom_nodes/ directory. The only required dependencies are Pytorch, numpy, and requests, which should be already installed if you have ComfyUI.

How to use it?

In ComfyUI, you can find this node under image/upscaling category. The model requires an estimate of the compression level, which is a number between 0 and 100 (the same you need to provide when compressing a JPEG image). You can either set auto_detect to enabled and use built-in estimator, or set it to disabled and provide the value yourself in compression_level.

⚠️ If you leave auto_detect as enabled, the value of compression_level will be ignored.

Credits

Nodes in this pack

1 node
  • JPEG artifacts removal FBCNN

Related resources

40 connections
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Sources

3 sources
GitHubSourceVersion c737c933f88a62eb7dc6fbb4f97d5aa4ab1c8bb4
github.com/Miosp/ComfyUI-FBCNN

Verified Oct 24

GitHubSource
github.com/Miosp/ComfyUI-FBCNN

Verified Oct 20

Source excerpts

1 excerpt

Source context: Repo Miosp/ComfyUI-FBCNN