unCLIP Checkpoint Loader

Documentation

  • Class name: unCLIPCheckpointLoader

  • Category: loaders

  • Output node: False

The unCLIPCheckpointLoader node is designed for loading checkpoints specifically tailored for unCLIP models. It facilitates the retrieval and initialization of models, CLIP vision modules, and VAEs from a specified checkpoint, streamlining the setup process for further operations or analyses.

Input types

Field
Comfy dtype
Description

ckpt_name

COMBO[STRING]

Specifies the name of the checkpoint to be loaded, identifying and retrieving the correct checkpoint file from a predefined directory, determining the initialization of models and configurations.

Output types

Field
Comfy dtype
Description
Python dtype

model

MODEL

Represents the primary model loaded from the checkpoint.

torch.nn.Module

clip

CLIP

Represents the CLIP module loaded from the checkpoint, if available.

torch.nn.Module

vae

VAE

Represents the VAE module loaded from the checkpoint, if available.

torch.nn.Module

clip_vision

CLIP_VISION

Represents the CLIP vision module loaded from the checkpoint, if available.

torch.nn.Module

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