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Specialized node for loading and managing latent files in specified directory, allowing selection based on seed value for AI artists.
DJZ-LoadLatentV2 is a specialized node designed to facilitate the loading and management of latent files within a specified output directory. Its primary function is to scan for .latent
files, sort them, and allow users to load a specific latent file based on a seed value. This node is particularly beneficial for AI artists who work with latent spaces, as it provides a streamlined method to access and manipulate latent data. By leveraging a seed to determine which latent file to load, it introduces an element of randomness or determinism based on user preference, enhancing creative exploration. The node ensures that the loaded latent data is correctly formatted and scaled, making it ready for further processing or integration into AI art projects.
The latent_index
parameter is a reference to the list of available latent files in the output directory. It is presented as a numbered list, allowing you to select a specific latent file by its index. This parameter is crucial for identifying which latent file you wish to load, and it directly impacts the node's execution by determining the file that will be processed. The list is dynamically generated based on the contents of the output directory, ensuring that you always have an up-to-date view of available latents.
The seed
parameter is an integer that influences the selection of the latent file to be loaded. It acts as a deterministic factor, where the seed value is used to calculate the position of the latent file in the sorted list. This allows for consistent results when the same seed is used, or varied outcomes when different seeds are applied. The seed must be an integer, with a default value of 0, and it can range from 0 to 0xffffffffffffffff, providing a vast space for exploration and experimentation.
The samples
output parameter contains the loaded latent data, formatted and scaled appropriately for further use. This data is extracted from the selected latent file and is crucial for any subsequent processing or artistic manipulation. The samples are returned as a tensor, ensuring compatibility with various AI models and workflows.
The current_file
output parameter provides the name of the latent file that was loaded. This is useful for tracking and documentation purposes, allowing you to easily reference which latent file was used in a particular session or project. It adds a layer of transparency and reproducibility to your workflow.
.latent
files you wish to work with, as the node relies on this directory to function properly..latent
files, or the files are not accessible..latent
files. Ensure that the files are not hidden or restricted by permissions.<error_message>
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