ComfyUI/models/checkpoints folder, and it will also read models from additional paths configured in the extra_model_paths.yaml file. Sometimes, you may need to refresh the ComfyUI interface to allow it to read the model files from the corresponding folder.
This node specializes in loading checkpoints specifically for image-based models within video generation workflows. It efficiently retrieves and configures the necessary components from a given checkpoint, focusing on image-related aspects of the model.
Inputs
| Field | Description | Data Type |
|---|---|---|
ckpt_name | Specifies the name of the checkpoint to load, crucial for identifying and retrieving the correct checkpoint file from a predefined list. | COMBO[STRING] |
Outputs
| Field | Description | Data Type |
|---|---|---|
model | Returns the main model loaded from the checkpoint, configured for image processing within video generation contexts. | MODEL |
clip_vision | Provides the CLIP vision component from the checkpoint, tailored for image understanding and feature extraction. | CLIP_VISION |
vae | Delivers the Variational Autoencoder (VAE) component, essential for image manipulation and generation tasks. | VAE |
This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHub