This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe LatentApplyOperationCFG node applies a latent operation to modify the conditioning guidance process in a model. It works by intercepting the conditioning outputs during the classifier-free guidance (CFG) sampling process and applying the specified operation to the latent representations before they are used for generation.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
model | MODEL | Yes | - | The model to which the CFG operation will be applied |
operation | LATENT_OPERATION | Yes | - | The latent operation to apply during the CFG sampling process |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
model | MODEL | The modified model with the CFG operation applied to its sampling process |