This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe EasyCache node implements a native caching system for models to improve performance by reusing previously computed steps during the sampling process. It adds EasyCache functionality to a model with configurable thresholds for when to start and stop using the cache during the sampling timeline.
Inputs
| Parameter | Data Type | Required | Range | Description |
|---|---|---|---|---|
model | MODEL | Yes | - | The model to add EasyCache to. |
reuse_threshold | FLOAT | No | 0.0 - 3.0 | The threshold for reusing cached steps (default: 0.2). |
start_percent | FLOAT | No | 0.0 - 1.0 | The relative sampling step to begin use of EasyCache (default: 0.15). |
end_percent | FLOAT | No | 0.0 - 1.0 | The relative sampling step to end use of EasyCache (default: 0.95). |
verbose | BOOLEAN | No | - | Whether to log verbose information (default: False). |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
model | MODEL | The model with EasyCache functionality added. |