Checkpoint Save

Documentation

Class name: CheckpointSave
Category: advanced/model_merging
Output node: True

The CheckpointSave node is designed for saving the state of various model components, including models, CLIP, and VAE, into a checkpoint file. This functionality is crucial for preserving the training progress or configuration of models for later use or sharing.

Input types

Parameter	Comfy dtype	Description
`model`	`MODEL`	The model parameter represents the primary model whose state is to be saved. It is essential for capturing the current state of the model for future restoration or analysis.
`clip`	`CLIP`	The clip parameter is intended for the CLIP model associated with the primary model, allowing its state to be saved alongside the main model.
`vae`	`VAE`	The vae parameter is for the Variational Autoencoder (VAE) model, enabling its state to be saved for future use or analysis alongside the main model and CLIP.
`filename_prefix`	`STRING`	This parameter specifies the prefix for the filename under which the checkpoint will be saved, providing a means to organize and identify saved checkpoints.

Output types

This node will output a checkpoint file, and the corresponding output file path is output/checkpoints/ directory

Checkpoint Save workflow example

For a workflow example of this node, please refer to: Model Merging Workflow Example Load the image below into ComfyUI to view the complete workflow:

First, enable the CheckpointSave node in the workflow, and load the models you want to merge in the two Load Checkpoint nodes
Generate an image once
Find the generated file in the output/checkpoints/ directory
You can install the generated file as a new checkpoint in the models\checkpoints\ folder, and then use a text-to-image workflow to check the results