ComfyUI Node: Latent Input Switch

Latent Input Switch:

The Latent Input Switch node is designed to facilitate the selection between two latent inputs based on a boolean condition. This node is particularly useful in scenarios where you need to dynamically choose between different latent representations during the execution of your AI art generation workflow. By leveraging this node, you can create more flexible and adaptive pipelines that respond to varying conditions or parameters, enhancing the creative possibilities and control over the generated outputs.

Latent Input Switch Input Parameters:

latent_a

This parameter represents the first latent input. It is one of the two possible latent representations that the node can output based on the boolean condition. The latent input is typically a tensor that contains encoded information from a previous stage in the AI art generation process.

latent_b

This parameter represents the second latent input. Similar to latent_a, it is a latent representation that the node can output depending on the boolean condition. This allows for an alternative latent path to be selected dynamically.

boolean

This parameter is a boolean condition that determines which latent input will be selected. If the boolean value is True, the node will output latent_a; if False, it will output latent_b. This parameter is crucial for controlling the flow of data through the node based on specific conditions or logic in your workflow.

Latent Input Switch Output Parameters:

LATENT

The output of this node is a single latent representation, which will be either latent_a or latent_b depending on the value of the boolean parameter. This output can then be used in subsequent nodes or processes within your AI art generation pipeline.

Latent Input Switch Usage Tips:

• Use the boolean parameter to create conditional logic in your workflow, allowing for dynamic selection of latent inputs based on external factors or previous node outputs.
• Combine this node with other logic nodes to build complex decision-making processes that can adapt to different scenarios and inputs.

Latent Input Switch Common Errors and Solutions:

Invalid latent input

• Explanation: This error occurs if the provided latent inputs are not valid latent representations.
• Solution: Ensure that both latent_a and latent_b are valid latent tensors generated from previous nodes or processes.

Boolean parameter missing

• Explanation: This error occurs if the boolean parameter is not provided or is not a valid boolean value.
• Solution: Make sure to provide a valid boolean value (True or False) for the boolean parameter to control the selection of the latent input.

Mismatched latent dimensions

• Explanation: This error occurs if latent_a and latent_b have different dimensions or shapes.
• Solution: Ensure that both latent inputs have the same dimensions and shapes to avoid compatibility issues during the selection process.