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Enhance AI-generated image tags with intelligent filtering and refinement using advanced machine learning models.
JoyTag is a powerful node designed to enhance your AI-generated images by intelligently filtering and refining tags associated with the images. This node leverages advanced machine learning models to predict and manage tags, ensuring that only the most relevant and positive tags are retained while filtering out any negative or unwanted tags. The primary goal of JoyTag is to streamline the tagging process, making it easier for you to categorize and enhance your images with appropriate descriptors. By using JoyTag, you can improve the quality and relevance of your image tags, which can be particularly beneficial for organizing large collections of AI-generated art or for improving the searchability and discoverability of your images.
This parameter expects an image input. The image is processed by the node to predict and manage tags. The image should be in a format that is compatible with the node's processing capabilities.
This parameter sets the threshold for tag prediction confidence. It is a floating-point value that determines the minimum confidence level required for a tag to be considered valid. The default value is 0.4, with a minimum of 0.1 and a maximum of 1. Adjusting this value can help you control the sensitivity of the tag filtering process.
This parameter allows you to add positive tags that you want to include in the final output. You can input multiple tags separated by commas. This is useful for ensuring that certain desirable tags are always included in the image's metadata.
This parameter allows you to add negative tags that you want to exclude from the final output. You can input multiple tags separated by commas. This helps in filtering out any unwanted or irrelevant tags from the image's metadata.
This is a boolean parameter that enables or disables the safe mode. When enabled (default is True), the node operates in a mode that prioritizes safety and accuracy in tag prediction and filtering.
This output parameter provides the final list of tags after processing the input image and applying the specified positive and negative filters. The tags are returned as a single string, with each tag separated by a comma. This output is crucial for understanding the descriptors associated with the image and can be used for further categorization or search optimization.
THRESHOLD
parameter based on the confidence level you require for your tags. A higher threshold will result in fewer, but more accurate tags.positive
parameter to include specific tags that are important for your project, ensuring they are always part of the final output.nagetive
parameter to filter out any tags that may not be relevant or could negatively impact the categorization of your images.safe_mode
to prioritize accuracy and safety in tag prediction, especially when working with sensitive or critical image data.THRESHOLD
parameter value is outside the allowed range of 0.1 to 1. - Solution: Adjust the THRESHOLD
value to be within the specified range.positive
or nagetive
parameters are empty or not properly formatted.positive
and nagetive
parameters.safe_mode
parameter configuration.safe_mode
parameter is set to either True or False. If the issue persists, try resetting the node configuration.© Copyright 2024 RunComfy. All Rights Reserved.