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Facilitates conditional execution based on switcher value, supports 0-19 cases for dynamic path selection in workflows.
The LamSwitcherCase
node is designed to facilitate conditional execution within a workflow by selecting a specific case to execute based on the value of a switcher
. This node is particularly useful when you have multiple potential execution paths and need to dynamically choose one based on certain conditions or inputs. The node supports a range of cases from 0 to 19, allowing for a broad spectrum of conditional logic to be implemented. By leveraging this node, you can streamline complex decision-making processes within your AI art generation workflows, ensuring that the appropriate actions are taken based on the current context or input values.
The switcher
parameter determines which case will be executed. It can be an integer, a string, or a list of integers or strings. The value of switcher
directly influences the node's behavior by selecting the corresponding case to execute. If the switcher
is a list, multiple cases can be executed in sequence. This parameter is crucial for directing the flow of execution and must be set correctly to ensure the desired outcome. There are no explicit minimum or maximum values, but it should correspond to the available cases (0-19).
The case0
parameter represents the first potential execution path. It is a lazy-loaded input, meaning it is only evaluated if selected by the switcher
. This parameter allows you to define specific actions or data to be used when switcher
is set to 0. It is essential for setting up the initial conditional logic within the node.
The case1
parameter is similar to case0
but corresponds to the second potential execution path. It is also lazy-loaded and is only evaluated if the switcher
selects it. This parameter is used to define the actions or data for when switcher
is set to 1, providing flexibility in the conditional logic setup.
These parameters are hidden by default and represent additional execution paths that can be selected by the switcher
. Each case is lazy-loaded and only evaluated if chosen. These parameters allow for a wide range of conditional logic, enabling complex decision-making processes within your workflow.
The output parameter, represented as ?
, provides the result of the selected case execution. It returns a tuple containing the result of the chosen case, allowing you to use this output in subsequent nodes or processes. The output is crucial for continuing the workflow based on the conditional logic defined by the switcher
.
switcher
value corresponds to a valid case number (0-19) to avoid execution errors.switcher
parameter to execute multiple cases in sequence, which can be useful for batch processing or complex workflows.switcher
parameter is not an integer, string, or list of integers/strings.switcher
is set to a valid type, such as an integer, string, or list, and corresponds to the available cases.switcher
value does not match any defined case.switcher
value is within the range of defined cases (0-19) and that the corresponding case is properly set up.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.