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.
- 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
- File Management: Place model files in the
ComfyUI/models/checkpointsfolder, or configure other paths through extra_model_paths.yaml - 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 |