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Monitor and display time spent during AI art generation inference process for performance optimization.
The easy showSpentTime
node is designed to help you monitor and display the time spent during the inference process in your AI art generation workflow. This node is particularly useful for understanding the performance and efficiency of your pipeline by providing detailed timing information. By integrating this node, you can easily track the duration of different stages of the inference process, such as diffusion and VAE decoding, which can help you optimize and troubleshoot your workflow. The primary goal of this node is to offer a clear and concise way to display the time taken for reasoning, making it easier for you to identify bottlenecks and improve the overall performance of your AI art generation tasks.
The pipe
parameter is a required input that represents the pipeline through which the data flows. It is essential for the node to function correctly as it contains all the necessary information and settings for the inference process. This parameter does not have a default value and must be provided for the node to execute.
The spent_time
parameter is an optional input that provides a message or information to be displayed once the reasoning is complete. By default, it is set to "Time will be displayed when reasoning is complete," and it does not require user input unless you want to customize the message. This parameter helps in displaying the time spent during the inference process in a user-friendly manner.
The unique_id
parameter is a hidden input that uniquely identifies the node within the workflow. It is used internally to track and update the node's state and is not intended for user modification.
The extra_pnginfo
parameter is a hidden input that contains additional information about the workflow, such as metadata and settings. It is used internally to manage and update the node's state and is not intended for user modification.
This node does not produce any direct output parameters. Instead, it updates the pipeline with the time spent information, which can be accessed and utilized by other nodes or components within the workflow.
pipe
parameter is correctly configured and contains all necessary settings for the inference process to avoid any disruptions in the workflow.spent_time
parameter message to provide more context or specific information about the inference time, making it easier to understand and interpret the results.pipe
parameter is not provided or is incorrectly configured.pipe
parameter is correctly set up and contains all necessary information for the inference process.unique_id
or extra_pnginfo
parameters are missing or invalid.unique_id
and extra_pnginfo
parameters are correctly set and contain valid information. These parameters are usually managed internally, so ensure that the workflow is properly configured.spent_time
parameter is not correctly updated or displayed.spent_time
parameter and ensure that the node is correctly integrated into the workflow. If necessary, customize the spent_time
message to provide more specific information.© Copyright 2024 RunComfy. All Rights Reserved.