CheckpointLoaderSimple - ComfyUI Built-in Node Documentation

Loads a diffusion model checkpoint file and decomposes it into three core components: the main model used for denoising latents, the CLIP text encoder, and the VAE image encoder/decoder. This node automatically detects all model files in the ComfyUI/models/checkpoints folder and any additional paths configured in your extra_model_paths.yaml file.

Inputs

Parameter	Description	Data Type	Required	Range
`ckpt_name`	The name of the checkpoint (model) to load. Select the checkpoint model file name, which determines the AI model used for subsequent image generation.	COMBO	Yes	All model files in the checkpoints folder

Note: If new model files are added while ComfyUI is running, you need to refresh the browser (Ctrl+R) to see the new files in the dropdown list.

Outputs

Output Name	Description	Data Type
`MODEL`	The model used for denoising latents. This is the core diffusion model used for image generation.	MODEL
`CLIP`	The CLIP model used for encoding text prompts, converting text descriptions into information that AI can understand.	CLIP
`VAE`	The VAE model used for encoding and decoding images to and from latent space.	VAE

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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Inputs

Outputs