> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# 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](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoaderSimple/en.md)

## 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.                                        |

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