A ComfyUI node designed to filter out images based on user-defined keywords, preventing the display of any flagged content. This tool enhances image processing workflows by ensuring that unwanted images are automatically replaced with a warning graphic.
- Enables users to specify custom keywords for filtering images.
- Integrates seamlessly with existing ComfyUI nodes, such as VAE Decode Image and image taggers.
- Automatically substitutes flagged images with a predefined warning image, enhancing content moderation.
Context
This tool serves as a keyword-based image blocker within the ComfyUI framework, allowing users to maintain control over the types of images processed. Its primary function is to identify and block images that contain specific keywords, facilitating a more curated image output.
Key Features & Benefits
One of the standout features is the ability to input a list of keywords that will trigger the blocking mechanism. Users can easily customize which terms to flag, ensuring that any images associated with these keywords are automatically handled according to the user's preferences. This level of customization is crucial for maintaining the integrity of image outputs in various applications.
Advanced Functionalities
The Keyword Image Blocker operates by connecting to an image tagger, which first analyzes the image for tags. If any of the specified keywords are detected, the tool replaces the original image with a warning image, effectively preventing the display of inappropriate or unwanted content. This process is straightforward, requiring users to simply input their keywords and manage the connections between nodes.
Practical Benefits
This tool significantly streamlines workflows by automating the process of image moderation. Users gain enhanced control over their outputs, ensuring that only appropriate images are saved or displayed. By integrating this functionality into ComfyUI, users can improve efficiency and reduce the need for manual checks on image content.
Credits/Acknowledgments
The development of this tool is attributed to its original authors and contributors, with the project being open-source. Users are encouraged to refer to the repository for further details and community contributions.