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Initiates loop structure for repeated operations until condition met, managing flow efficiently in computational graphs.
The DoWhileStart
node is designed to initiate a loop structure within a computational graph, allowing for repeated execution of a set of operations until a specified condition is met. This node is particularly useful in scenarios where iterative processing is required, such as in generating multiple variations of an image or performing repeated calculations. By leveraging the DoWhileStart
node, you can efficiently manage and control the flow of operations, ensuring that tasks are executed the desired number of times or until a specific condition is satisfied. This node is part of the "lam" category, indicating its role in managing loop structures within the broader context of the system.
The obj
parameter is an optional input that can accept any type of data, represented by the AlwaysEqualProxy("*")
. This parameter allows you to pass additional data or objects into the loop, which can be utilized during each iteration. The flexibility of this parameter means it can be used to carry forward any necessary information or state required for the loop's execution.
The i
parameter is a hidden integer input that serves as a seed for random number generation within the loop. It has a default value of 0 and can range from 0 to 99999. By setting this parameter, you can control the randomness in the loop, ensuring reproducibility of results if needed. This is particularly useful when the loop involves operations that depend on random values.
These hidden parameters, named initial_value0
through initial_value4
, are designed to accept any type of data, indicated by the *
type with rawLink
set to true. They provide a mechanism to initialize or pass through specific values into the loop, which can be used or modified during each iteration. These parameters offer flexibility in managing the data flow and state within the loop, allowing for complex operations and data manipulations.
The DOWHILE
output is a special type that signifies the continuation of the loop structure. It acts as a control signal that can be linked to other nodes to manage the flow of operations within the loop. This output is essential for maintaining the loop's integrity and ensuring that the operations are executed in the correct sequence.
The 循环次数
(loop count) output is an integer that represents the number of times the loop has been executed. This output provides valuable information about the loop's progress and can be used to monitor or control the loop's execution. It is particularly useful for debugging or optimizing the loop's performance.
The seed
output is an integer that represents the seed value used for random number generation within the loop. This output ensures that the randomness in the loop can be tracked and reproduced if necessary. It is crucial for scenarios where consistent results are required across multiple executions of the loop.
The 回传数据
(returned data) output is a flexible output that can carry any type of data, represented by the AlwaysEqualProxy("*")
. This output allows you to pass data back from the loop, which can be used for further processing or analysis. It provides a mechanism to extract and utilize the results of the loop's operations.
i
parameter to control the randomness within the loop, ensuring consistent results when needed by setting a specific seed value.initial_value
parameters to pass necessary data into the loop, allowing for complex data manipulations and state management across iterations.obj
Parameterobj
parameter is optional, but if your loop logic depends on it, ensure it is provided.obj
parameter is correctly linked or provided when required by your loop logic.i
parameter must be an integer within the specified range (0 to 99999).initial_value
Parametersinitial_value
parameters must accept any data type, but ensure the data passed is compatible with your loop logic.initial_value
parameters to ensure they align with the expected types in your loop operations.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.