Just a straightforward node designed to filter out NSFW (Not Safe For Work) outputs in ComfyUI. It employs a lightweight and efficient model to evaluate generated images and ensure they meet specified safety criteria.
- Utilizes the vit-base-nsfw-detector model for accurate and quick assessments of image content.
- Offers a threshold slider allowing users to customize the sensitivity of the filtering process.
- Includes a CUDA toggle for enhanced processing speed by leveraging GPU capabilities.
Context
This tool, YetAnotherSafetyChecker, serves as a node within the ComfyUI framework to automatically screen and filter out inappropriate or NSFW content from generated images. Its primary purpose is to provide users with a reliable way to ensure that their outputs align with community standards or personal preferences regarding content safety.
Key Features & Benefits
The node integrates a scoring mechanism that evaluates images based on their likelihood of containing NSFW elements. By using a threshold slider, users can adjust the sensitivity of the filter, allowing for fine-tuning according to their specific needs. The inclusion of a CUDA toggle enhances performance, making the filtering process faster when running on compatible hardware.
Advanced Functionalities
The node outputs two types of results: a primary image output and a string output that indicates the safety score assigned to the image. The primary output will be a black image unless the input image's score falls below the user-defined threshold, facilitating clear visual feedback on the filtering process. This dual output system provides users with both visual and numerical data to make informed decisions about content.
Practical Benefits
By implementing YetAnotherSafetyChecker, users can streamline their workflow in ComfyUI by ensuring that all generated images meet safety standards without having to manually inspect each output. This not only saves time but also enhances control over the content being produced, improving overall quality and compliance with desired guidelines.
Credits/Acknowledgments
This tool leverages the vit-base-nsfw-detector model created by AdamCodd, and its implementation is made possible through contributions from the open-source community. The repository is available under a suitable license that encourages collaborative development and usage.