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Dynamic model selection node for switching between two models based on boolean input, streamlining model selection process in AI projects.
The CR Model Input Switch JK node is designed to dynamically select between two different models based on a boolean input. This node is particularly useful in scenarios where you need to switch between two models conditionally, allowing for more flexible and adaptive workflows. By leveraging this node, you can streamline your model selection process, ensuring that the appropriate model is used based on the specified condition. This can be especially beneficial in complex AI art projects where different models may be required under different circumstances.
The boolean_value parameter is a boolean input that determines which model will be selected. If set to True, the node will select the model specified by model_true. If set to False, it will select the model specified by model_false. The default value is False. This parameter is crucial as it controls the conditional logic of the node, enabling dynamic model selection based on the given condition.
The model_false parameter is the model that will be selected if the boolean_value is set to False. This parameter does not have a default value and must be specified. It represents one of the two possible models that the node can output, providing flexibility in model selection based on the boolean condition.
The model_true parameter is the model that will be selected if the boolean_value is set to True. Similar to model_false, this parameter does not have a default value and must be specified. It represents the alternative model that the node can output, allowing for conditional model switching based on the boolean input.
The MODEL output is the selected model based on the boolean_value input. If boolean_value is True, the output will be the model specified by model_true. If boolean_value is False, the output will be the model specified by model_false. This output is essential as it provides the dynamically selected model for further processing in your workflow.
The BOOLEAN output is the same as the boolean_value input. It is returned to provide confirmation of the condition that was used for model selection. This output can be useful for debugging or for further conditional logic in your workflow.
model_false and model_true are correctly specified to avoid any runtime errors.boolean_value parameter to dynamically switch models based on conditions in your workflow, such as user input or other node outputs.model_false or model_true is not provided.model_false and model_true parameters are specified with valid models.boolean_value is not a valid boolean.boolean_value parameter is set to either True or False.model_false and model_true are of different types.model_false and model_true are of the same model type to avoid type mismatch errors.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.