CheckpointLoader - ComfyUI Built-in Node Documentation

The CheckpointLoader node loads a pre-trained model checkpoint along with its configuration file. It takes a configuration file and a checkpoint file as inputs and returns the loaded model components including the main model, CLIP model, and VAE model for use in the workflow.

Inputs

Parameter	Description	Data Type	Required	Range
`config_name`	The configuration file that defines the model architecture and settings	STRING	Yes	Available config files
`ckpt_name`	The checkpoint file containing the trained model weights and parameters	STRING	Yes	Available checkpoint files

Note: This node requires both a configuration file and a checkpoint file to be selected. The configuration file must match the architecture of the checkpoint file being loaded.

Outputs

Output Name	Description	Data Type
`MODEL`	The loaded main model component ready for inference	MODEL
`CLIP`	The loaded CLIP model component for text encoding	CLIP
`VAE`	The loaded VAE model component for image encoding and decoding	VAE

Important Note: This node has been marked as deprecated and may be removed in future versions. Consider using alternative loading nodes for new workflows.

This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub

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ZImageFunControlnet - ComfyUI Built-in Node Documentation

CLIPLoader - ComfyUI Built-in Node Documentation

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