ComfyUI Node: Lazy Condition 🕒🅡🅣🅝

Lazy Condition 🕒🅡🅣🅝:

The LazyCondition node is designed to optimize the execution flow by employing lazy evaluation, which means it only processes the necessary paths based on a given condition. This node is particularly useful in scenarios where you want to avoid unnecessary computations, thereby saving resources and improving performance. It achieves this by evaluating the if_true path only when the specified condition is truthy (non-zero, non-empty, non-None). If the condition is falsy, it either returns a fallback value or the last known state of the if_true path, depending on the configuration. This mechanism helps in maintaining the state of the last successful evaluation, which can be crucial in avoiding feedback loops and ensuring consistent outputs in dynamic environments.

Lazy Condition 🕒🅡🅣🅝 Input Parameters:

condition

The condition parameter determines whether the if_true path should be evaluated. It accepts any value that can be interpreted as truthy or falsy in Python, such as numbers, strings, or objects. When the condition is truthy, the node evaluates and returns the if_true path. If falsy, it returns either the fallback value or the previous state of if_true, depending on the use_fallback setting. This parameter is crucial for controlling the flow of execution and ensuring that only necessary computations are performed.

if_true

The if_true parameter represents the path that is evaluated when the condition is truthy. It is marked as lazy, meaning it is only computed when needed, which helps in optimizing performance by skipping unnecessary evaluations. This parameter is essential for defining the primary outcome of the node when the condition is met.

fallback

The fallback parameter provides an alternative value to be used when the condition is falsy or when there is no previous state of if_true. It acts as a safety net, ensuring that the node can still produce a valid output even when the primary condition is not satisfied. This parameter is important for maintaining robustness and preventing errors in the execution flow.

use_fallback

The use_fallback parameter is a boolean that dictates whether the node should use the fallback value when the condition is falsy. By default, it is set to False, meaning the node will attempt to use the last successful if_true result if available. When set to True, the node will always use the fallback value in the absence of a truthy condition. This parameter allows for flexible control over the node's behavior in different scenarios.

Lazy Condition 🕒🅡🅣🅝 Output Parameters:

AlwaysEqualProxy("*")

The output of the LazyCondition node is a single value that corresponds to either the if_true path, the fallback value, or the last known state of if_true, depending on the evaluation of the condition and the use_fallback setting. This output is crucial for determining the result of the node's execution and is used in subsequent nodes or processes. It ensures that the node provides a consistent and expected outcome based on the input parameters and the current state.

Lazy Condition 🕒🅡🅣🅝 Usage Tips:

• Use the condition parameter to control the execution flow dynamically, ensuring that only necessary computations are performed, which can significantly improve performance in complex workflows.
• Set the use_fallback parameter to True if you want to ensure a consistent fallback value is used whenever the condition is not met, which can be useful in scenarios where maintaining a specific output is critical.

Lazy Condition 🕒🅡🅣🅝 Common Errors and Solutions:

Condition is not properly evaluated

• Explanation: This error occurs when the condition parameter is not correctly interpreted as truthy or falsy, leading to unexpected behavior.
• Solution: Ensure that the condition parameter is set to a value that can be clearly interpreted as truthy or falsy in Python. Check for common pitfalls such as empty strings or zero values that might not behave as expected.

Fallback value not used when expected

• Explanation: This issue arises when the use_fallback parameter is not set correctly, causing the node to use the last known state of if_true instead of the fallback value.
• Solution: Verify that the use_fallback parameter is set to True if you want the node to always use the fallback value when the condition is falsy. Double-check the configuration to ensure it aligns with your intended behavior.