> ## 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

> Loads a diffusion model checkpoint file and splits it into three core components: the main model used for denoising latents, the CLIP text encoder, and the VAE image encoder/decode

Loads a diffusion model checkpoint file and splits it into three core components: the main model used for denoising latents, the CLIP text encoder, and the VAE image encoder/decoder. The 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 found 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](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/CheckpointLoaderSimple/en.md)

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