unCLIPCheckpointLoader
Documentation
- Class name:
unCLIPCheckpointLoader - Category:
loaders - Output node:
False
The unCLIPCheckpointLoader node is designed for loading checkpoints specifically tailored for unCLIP models. It facilitates the retrieval and initialization of models, CLIP vision modules, and VAEs from a specified checkpoint, streamlining the setup process for further operations or analyses.
Input types
| Field | Comfy dtype | Description |
|---|---|---|
ckpt_name | COMBO[STRING] | Specifies the name of the checkpoint to be loaded, identifying and retrieving the correct checkpoint file from a predefined directory, determining the initialization of models and configurations. |
Output types
| Field | Comfy dtype | Description | Python dtype |
|---|---|---|---|
model | MODEL | Represents the primary model loaded from the checkpoint. | torch.nn.Module |
clip | CLIP | Represents the CLIP module loaded from the checkpoint, if available. | torch.nn.Module |
vae | VAE | Represents the VAE module loaded from the checkpoint, if available. | torch.nn.Module |
clip_vision | CLIP_VISION | Represents the CLIP vision module loaded from the checkpoint, if available. | torch.nn.Module |