CheckpointLoaderSimple - ComfyUI Built-in Node Documentation

Complete documentation for the CheckpointLoaderSimple node in ComfyUI. Learn its inputs, outputs, parameters and usage.

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

Overview

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

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

---

Source fingerprint (SHA-256): 2fd8866ae659f8080f46c16d3a9864fa563d2090815d897ea2f42ba8d66d9b39