ComfyUI Node: Tag

Tag:

The 0246.Tag node is designed to manage and manipulate tags within your data workflow. This node allows you to apply, check, remove, or clear tags from your data elements, providing a flexible way to handle metadata or identifiers associated with your data. By using this node, you can efficiently organize and filter your data based on tags, making it easier to manage complex workflows. The node supports both exact and regex-based tag matching, giving you the ability to perform precise or pattern-based operations on your tags. This functionality is particularly useful for AI artists who need to categorize and process large datasets with specific attributes.

Tag Input Parameters:

data_in

This parameter accepts the input data that you want to process. It is a required parameter and expects a list of data elements. Each element can be a wrapped object containing tags and associated IDs. The node will perform the specified operation on these elements based on the provided tags and modes.

ops_mode

This parameter determines the operation mode of the node. It accepts one of the following options: apply, check, remove, or clear. The apply mode adds a tag to the data, check mode verifies the presence of a tag, remove mode deletes a specific tag, and clear mode removes all tags from the data. The default value is apply.

neg_mode

This is a boolean parameter that, when set to True, inverts the operation's effect. For example, in check mode, it will return data elements that do not have the specified tag. The default value is False.

tag_mode

This parameter specifies the matching mode for tags. It accepts either exact or regex. The exact mode matches tags exactly as specified, while the regex mode allows for pattern-based matching using regular expressions. The default value is exact.

tag

This parameter is a string that represents the tag to be applied, checked, removed, or cleared. It supports multiline input, allowing you to specify complex tags or patterns. The default value is tag.

_prompt

This hidden parameter is used internally to store prompt information. It is not intended to be modified by the user.

_id

This hidden parameter is used internally to store a unique identifier for the operation. It is not intended to be modified by the user.

_workflow

This hidden parameter is used internally to store workflow-related information. It is not intended to be modified by the user.

Tag Output Parameters:

data_out

This parameter returns the processed data after the specified tag operation has been applied. The output is a list of data elements, which may be wrapped or unwrapped depending on the operation performed. This allows you to easily integrate the results back into your workflow for further processing or analysis.

Tag Usage Tips:

• Use the apply mode to add new tags to your data elements, which can help in categorizing and filtering data in subsequent steps.
• Utilize the check mode to verify the presence of specific tags before performing operations, ensuring that only relevant data is processed.
• The remove mode is useful for cleaning up tags that are no longer needed, helping to maintain a tidy and organized dataset.
• Leverage the clear mode to remove all tags from data elements, which can be useful when resetting or reinitializing your data for a new workflow.
• Experiment with the regex tag mode to perform advanced pattern matching, which can be particularly powerful for complex tagging schemes.

Tag Common Errors and Solutions:

Tag not found

• Explanation: This error occurs when the specified tag is not found in the data element during a check or remove operation.
• Solution: Ensure that the tag you are looking for exists in the data element. Double-check the tag name for any typos or mismatches.

Invalid regex pattern

• Explanation: This error occurs when the provided regex pattern is invalid or cannot be compiled.
• Solution: Verify that your regex pattern is correctly formatted and adheres to the syntax rules of regular expressions.

Data type mismatch

• Explanation: This error occurs when the input data type does not match the expected type for the operation.
• Solution: Ensure that the input data is a list of elements, and each element is either a wrapped object or a compatible data type.

Operation mode not supported

• Explanation: This error occurs when an unsupported operation mode is specified.
• Solution: Check the ops_mode parameter and ensure it is set to one of the supported values: apply, check, remove, or clear.