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FromListGetLatents

Documentation

  • Class name: FromListGetLatents
  • Category: Bmad/Lists/GetAll
  • Output node: False

The node 'FromListGetLatents' is designed to extract multiple latent representations from a provided list. It enables the selection and manipulation of latent data structures, facilitating operations such as retrieval, analysis, and transformation of latent vectors.

Input types

Required

  • list
    • Specifies the list of latent representations from which to extract elements. This parameter is crucial for defining the source of latent data to be operated on.
    • Comfy dtype: LATENT
    • Python dtype: List[torch.Tensor]

Output types

  • latent
    • Comfy dtype: LATENT
    • The extracted latent representations from the specified list. This output is significant for further processing or analysis of the latent vectors.
    • Python dtype: torch.Tensor

Usage tips

  • Infra type: CPU
  • Common nodes: unknown

Source code

class FromListGetLatents(metaclass=UnMakeListMeta):  TYPE = "LATENT"