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On this page
  • Documentation
  • Input types
  • Output types
  1. Core Nodes
  2. Latent

Latent Composite

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Last updated 4 months ago

Documentation

  • Class name: LatentComposite

  • Category: latent

  • Output node: False

The LatentComposite node is designed to blend or merge two latent representations into a single output. This process is essential for creating composite images or features by combining the characteristics of the input latents in a controlled manner.

Input types

Parameter
Comfy dtype
Description

samples_to

LATENT

The ‘samples_to’ latent representation where the ‘samples_from’ will be composited onto. It serves as the base for the composite operation.

samples_from

LATENT

The ‘samples_from’ latent representation to be composited onto the ‘samples_to’. It contributes its features or characteristics to the final composite output.

x

INT

The x-coordinate (horizontal position) where the ‘samples_from’ latent will be placed on the ‘samples_to’. It determines the horizontal alignment of the composite.

y

INT

The y-coordinate (vertical position) where the ‘samples_from’ latent will be placed on the ‘samples_to’. It determines the vertical alignment of the composite.

feather

INT

A boolean indicating whether the ‘samples_from’ latent should be resized to match the ‘samples_to’ before compositing. This can affect the scale and proportion of the composite result.

Output types

Parameter
Comfy dtype
Description

latent

LATENT

The output is a composite latent representation, blending the features of both ‘samples_to’ and ‘samples_from’ latents based on the specified coordinates and resizing option.