ComfyUI Node: Logic node

Logic node:

The DF_Logic_node is a versatile tool designed to perform logical operations between two values, enabling you to create conditional workflows within your AI art projects. This node allows you to compare values using various logical operations such as greater than, less than, equal to, AND, OR, and XOR. Depending on the result of the comparison, the node can trigger different outputs, making it a powerful component for decision-making processes in your creative workflows. By integrating this node, you can automate complex logic and enhance the interactivity and responsiveness of your AI-generated art.

Logic node Input Parameters:

Operation

This parameter defines the logical operation to be performed between the two values. The available options are "A > B", "A < B", "A = B", "A AND B", "A OR B", and "A XOR B". Each option specifies a different type of comparison or logical operation, determining how the node evaluates the input values. The default value is "A AND B".

CompareValue_A

This is the first value to be compared or used in the logical operation. It can be of any type, providing flexibility in the types of comparisons you can perform. This value is required for the node to function.

CompareValue_B

This is the second value to be compared or used in the logical operation. Like CompareValue_A, it can be of any type. This parameter is optional, and if not provided, the node will use a default value of False.

OnTrue

This parameter specifies the output value if the logical operation evaluates to True. It can be of any type, allowing you to define what should be returned when the condition is met. This parameter is optional, and if not provided, the node will use a default value of False.

OnFalse

This parameter specifies the output value if the logical operation evaluates to False. It can be of any type, allowing you to define what should be returned when the condition is not met. This parameter is optional, and if not provided, the node will use a default value of False.

Logic node Output Parameters:

ANY

The output of the node is a single value that depends on the result of the logical operation. If the operation evaluates to True, the output will be the value specified in the OnTrue parameter. If the operation evaluates to False, the output will be the value specified in the OnFalse parameter. This output can be of any type, providing flexibility in how you use the result in your workflow.

Logic node Usage Tips:

• Use the "Operation" parameter to define the specific logical condition you want to evaluate, ensuring it aligns with your workflow requirements.
• Define meaningful values for the OnTrue and OnFalse parameters to create clear and actionable outcomes based on the logical evaluation.
• Combine multiple DF_Logic_nodes to create complex conditional logic, enhancing the interactivity and decision-making capabilities of your AI art projects.

Logic node Common Errors and Solutions:

InvalidOperationError

• Explanation: This error occurs if an unsupported operation is specified in the "Operation" parameter.
• Solution: Ensure that the "Operation" parameter is set to one of the supported values: "A > B", "A < B", "A = B", "A AND B", "A OR B", or "A XOR B".

TypeError

• Explanation: This error occurs if the types of CompareValue_A and CompareValue_B are incompatible with the specified operation.
• Solution: Verify that the types of CompareValue_A and CompareValue_B are appropriate for the chosen operation. For example, ensure both values are numeric for comparison operations like "A > B" or "A < B".

MissingRequiredParameterError

• Explanation: This error occurs if the required parameter CompareValue_A is not provided.
• Solution: Ensure that the CompareValue_A parameter is specified and not left empty.

UnexpectedOutputError

• Explanation: This error occurs if the output value is not as expected due to incorrect OnTrue or OnFalse parameter values.
• Solution: Double-check the values specified for the OnTrue and OnFalse parameters to ensure they produce the desired output based on the logical evaluation.