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Streamline boolean operations for AI art projects, simplifying integration and management of boolean values with user-friendly interface.
The easy boolean node is designed to streamline the process of handling boolean operations within your AI art projects. This node simplifies the integration of boolean logic, making it accessible even to those without a technical background. By leveraging this node, you can efficiently manage and manipulate boolean values, which are essential for controlling various aspects of your AI models and workflows. The primary goal of the easy boolean node is to provide a user-friendly interface that abstracts the complexity of boolean operations, allowing you to focus on the creative aspects of your work. Whether you are enabling or disabling features, toggling settings, or managing conditional logic, the easy boolean node ensures that these tasks are performed seamlessly and intuitively.
This parameter determines whether the boolean operation is active or not. When set to true, the boolean logic is applied, and when set to false, it is bypassed. This allows you to easily toggle the functionality on and off as needed. The default value is true, meaning the boolean operation is enabled by default.
This parameter represents the positive condition or value that you want to evaluate. It is used in conjunction with the negative parameter to define the boolean logic. The positive parameter can be any value or condition that you want to check for truthiness. There is no specific minimum or maximum value, as it depends on the context of your boolean operation.
This parameter represents the negative condition or value that you want to evaluate. It works alongside the positive parameter to define the boolean logic. The negative parameter can be any value or condition that you want to check for falseness. Similar to the positive parameter, there is no specific minimum or maximum value, as it depends on the context of your boolean operation.
The result parameter provides the outcome of the boolean operation. It returns a boolean value (true or false) based on the evaluation of the positive and negative parameters. This output is crucial for determining the next steps in your workflow, as it allows you to make decisions and control the flow of your AI model based on the boolean logic.
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