CheckpointLoaderSimple - ComfyUI Built-in Node Documentation

The CheckpointLoaderSimple node is used to load model files from specified locations and decompose them into three core components: the main model, text encoder, and image encoder/decoder.

This is a model loader node that loads model files from specified locations and decomposes them into three core components: the main model, text encoder, and image encoder/decoder.

This node automatically detects all model files in the ComfyUI/models/checkpoints folder, as well as additional paths configured in your extra_model_paths.yaml file.

1. Model Compatibility: Ensure the selected model is compatible with your workflow. Different model types (such as SD1.5, SDXL, Flux, etc.) need to be paired with corresponding samplers and other nodes
2. File Management: Place model files in the ComfyUI/models/checkpoints folder, or configure other paths through extra_model_paths.yaml
3. Interface Refresh: 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

Inputs

Parameter	Data Type	Input Type	Default	Range	Description
ckpt_name	STRING	Widget	null	All model files in checkpoints folder	Select the checkpoint model file name to load, which determines the AI model used for subsequent image generation

Outputs

Output Name	Data Type	Description
MODEL	MODEL	The main diffusion model used for image denoising generation, the core component of AI image creation
CLIP	CLIP	The model used for encoding text prompts, converting text descriptions into information that AI can understand
VAE	VAE	The model used for image encoding and decoding, responsible for converting between pixel space and latent space