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  • Documentation
  • Input types
  • Output types
  1. Core Nodes
  2. Latent

VAE Encode

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Last updated 4 months ago

Documentation

  • Class name: VAEEncode

  • Category: latent

  • Output node: False

This node is designed for encoding images into a latent space representation using a specified VAE model. It abstracts the complexity of the encoding process, providing a straightforward way to transform images into their latent representations.

Input types

Parameter
Comfy dtype
Description

pixels

IMAGE

The ‘pixels’ parameter represents the image data to be encoded into the latent space. It plays a crucial role in determining the output latent representation by serving as the direct input for the encoding process.

vae

VAE

The ‘vae’ parameter specifies the Variational Autoencoder model to be used for encoding the image data into latent space. It is essential for defining the encoding mechanism and characteristics of the generated latent representation.

Output types

Parameter
Comfy dtype
Description

latent

LATENT

The output is a latent space representation of the input image, encapsulating its essential features in a compressed form.