ComfyUI  >  Nodes  >  ComfyUI-JDCN >  JDCN_BatchLatentLoadFromList

ComfyUI Node: JDCN_BatchLatentLoadFromList

Class Name

JDCN_BatchLatentLoadFromList

Category
🔵 JDCN 🔵
Author
daxcay (Account age: 93 days)
Extension
ComfyUI-JDCN
Latest Updated
6/13/2024
Github Stars
0.1K

How to Install ComfyUI-JDCN

Install this extension via the ComfyUI Manager by searching for  ComfyUI-JDCN
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-JDCN in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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JDCN_BatchLatentLoadFromList Description

Efficiently load latent data from specified paths in batches for streamlined AI workflow.

JDCN_BatchLatentLoadFromList:

The JDCN_BatchLatentLoadFromList node is designed to facilitate the efficient loading of latent data from a specified list of paths. This node is particularly useful for AI artists who need to process large batches of latent data in a structured and organized manner. By specifying the batch size, index, and direction, you can control how the data is loaded and processed, ensuring that you can work with manageable chunks of data at a time. This node supports various loading directions, including top-to-bottom, bottom-to-top, and random, providing flexibility in how you access and utilize your latent data. The primary goal of this node is to streamline the workflow of handling latent data, making it easier to manage and process large datasets effectively.

JDCN_BatchLatentLoadFromList Input Parameters:

PathList

PathList is a required input parameter that expects a string representing the list of paths to the latent files. This parameter is crucial as it defines the source of the latent data that will be processed. The paths should be provided in a format that the node can interpret and access.

Index

Index is an integer input parameter with a default value of 1, a minimum value of 1, and a maximum value of 9999. This parameter specifies the starting index for loading the batch of latent data. It allows you to control which part of the list to begin processing from, providing flexibility in handling different segments of your data.

BatchSize

BatchSize is an integer input parameter with a default value of 5, a minimum value of 0, and a maximum value of 9999. This parameter determines the number of latent files to be loaded in each batch. Adjusting the batch size can help manage memory usage and processing time, making it easier to work with large datasets.

BatchDirection

BatchDirection is a parameter that offers three options: "TOPTOBOTTOM", "BOTTOMTOTOP", and "RANDOM". This parameter defines the direction in which the latent data will be loaded. "TOPTOBOTTOM" loads data from the beginning of the list, "BOTTOMTOTOP" loads data from the end of the list, and "RANDOM" loads data in a random order. This flexibility allows you to choose the most suitable loading strategy for your specific needs.

JDCN_BatchLatentLoadFromList Output Parameters:

Latents

Latents is an output parameter that returns the loaded latent data. This data is essential for further processing and analysis in your AI art projects. The latents are loaded based on the specified batch size, index, and direction, ensuring that you have the right subset of data for your tasks.

LatentNames

LatentNames is an output parameter that provides the names of the latent files that have been loaded. This information is useful for tracking and identifying the specific files that are being processed, helping you maintain an organized workflow.

LatentPaths

LatentPaths is an output parameter that returns the paths of the latent files that have been loaded. This parameter helps you verify the source of the data and ensures that the correct files are being accessed and processed.

Index

Index is an output parameter that returns the index used for loading the batch of latent data. This parameter is useful for tracking the progress of data loading and ensuring that the correct segment of the list is being processed.

JDCN_BatchLatentLoadFromList Usage Tips:

  • To optimize performance, adjust the BatchSize parameter based on the available memory and processing power. Larger batch sizes may speed up processing but require more memory.
  • Use the BatchDirection parameter to experiment with different loading strategies. For example, use "RANDOM" to introduce variability in your data processing.
  • Keep track of the Index parameter to ensure that you are processing the correct segment of your data list, especially when working with large datasets.

JDCN_BatchLatentLoadFromList Common Errors and Solutions:

"Direction must be one of {'TOPTOBOTTOM', 'BOTTOMTOTOP', 'RANDOM'}."

  • Explanation: This error occurs when an invalid direction is specified in the BatchDirection parameter.
  • Solution: Ensure that the BatchDirection parameter is set to one of the valid options: "TOPTOBOTTOM", "BOTTOMTOTOP", or "RANDOM".

"Input list is empty."

  • Explanation: This error occurs when the PathList parameter is empty or not provided.
  • Solution: Provide a valid list of paths in the PathList parameter to ensure that there is data to process.

"Start index is out of range."

  • Explanation: This error occurs when the specified Index parameter results in a starting index that is outside the range of the PathList.
  • Solution: Adjust the Index parameter to ensure that it falls within the valid range of the PathList.

"Error loading latent from file <file_path>: <error_message>"

  • Explanation: This error occurs when there is an issue loading a latent file from the specified path.
  • Solution: Verify that the file paths in the PathList are correct and that the files are accessible. Check for any issues with the file format or permissions.

JDCN_BatchLatentLoadFromList Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-JDCN
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