This tool is designed to assess images generated by ComfyUI for their appropriateness in a workplace setting, specifically identifying Not Safe For Work (NSFW) content. It utilizes a machine learning model to classify images and provides a confidence score to aid users in filtering content effectively.
- The tool delivers a confidence score indicating the likelihood that an image is NSFW, with a recommended threshold of 0.95 for optimal filtering.
- It is particularly useful for users integrating ComfyUI into automated workflows, allowing for programmatic filtering of images based on NSFW scores.
- The output consists of a list of scores for multiple images, facilitating batch processing and dynamic threshold adjustments.
Context
This tool serves as an extension for ComfyUI, focusing on the detection of NSFW content within generated images. Its main purpose is to enable users to maintain a safe and appropriate environment by filtering out unsuitable images through a reliable scoring mechanism.
Key Features & Benefits
The primary feature of this tool is its ability to classify images as either safe or NSFW, providing a confidence score that indicates the reliability of the classification. This functionality is crucial for users who require assurance that their generated content adheres to workplace standards, thus enhancing the overall integrity of image outputs.
Advanced Functionalities
In addition to basic classification, the tool allows users to set dynamic thresholds for NSFW content detection. This means that users can customize their filtering criteria based on specific needs, making the tool adaptable to various scenarios and enhancing its utility in diverse workflows.
Practical Benefits
By integrating this NSFW detection tool into their ComfyUI workflow, users can significantly streamline their image processing tasks. It enhances control over the content being generated, improves the quality of outputs by ensuring appropriateness, and increases efficiency by automating the filtering process for multiple images at once.
Credits/Acknowledgments
This project builds upon the foundational work of ComfyUI-NSFW-Detection by trumanwong, acknowledging the contributions made by the original author and any collaborators involved in its development.