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Facilitates saving VAE models with metadata and customizable filename prefix for AI artists.
The VAESave
node is designed to facilitate the saving of Variational Autoencoder (VAE) models in a structured and efficient manner. This node is particularly useful for AI artists who work with VAE models and need to save their work for future use or sharing. The primary function of this node is to save the VAE model to a specified directory with a customizable filename prefix. Additionally, it allows for the inclusion of metadata such as prompts and extra PNG information, which can be useful for documentation and reproducibility purposes. By using this node, you can ensure that your VAE models are saved with all the necessary information, making it easier to manage and utilize them in your creative projects.
This parameter represents the VAE model that you want to save. The VAE model is a type of neural network used for generating images and other data. By providing the VAE model to this parameter, you enable the node to save its current state to a file.
This parameter allows you to specify a prefix for the filename under which the VAE model will be saved. The default value is "vae/ComfyUI_vae". This prefix helps in organizing and identifying the saved models, especially when you have multiple models saved in the same directory. You can customize this prefix to suit your naming conventions and organizational needs.
This hidden parameter is used to include a prompt in the metadata of the saved VAE model. The prompt can be any text that provides context or additional information about the model. This can be useful for documentation purposes, allowing you to remember the specific conditions or settings under which the model was created.
This hidden parameter allows you to include additional PNG information in the metadata of the saved VAE model. This can be any extra data that you want to associate with the model, such as settings, configurations, or other relevant information. Including this metadata can help in reproducing the results or understanding the model's context better.
The VAESave
node does not produce any direct output parameters. Its primary function is to save the VAE model to a file, and it does not return any values or data upon completion.
filename_prefix
is unique and descriptive to avoid overwriting existing files and to make it easier to identify the saved models later.prompt
and extra_pnginfo
parameters to include detailed metadata about the VAE model. This can be helpful for documentation and reproducibility.© Copyright 2024 RunComfy. All Rights Reserved.