Dual Model CFG Guider
This node allows you to use two different models during the guided CFG sampling process: one model for the positive (conditional) pass and a separate model for the negative (unconditional) pass. When no negative model is provided, it behaves like a standard CFG guider using a single model.Inputs
| Parameter | Description | Data Type | Required | Range |
|---|---|---|---|---|
model | Model used for the positive (conditional) pass. | MODEL | Yes | |
model_negative | Model used for the negative (unconditional) pass. Use the same model for ordinary CFG. | MODEL | No | |
positive | The positive conditioning input. | CONDITIONING | Yes | |
cfg | The CFG scale value (default: 4.0). | FLOAT | Yes | 0.0 to 100.0 (step: 0.1) |
negative | Negative conditioning run on the negative model. Leave unconnected for a text-free (image-only) unconditional pass. | CONDITIONING | No |
Outputs
| Output Name | Description | Data Type |
|---|---|---|
GUIDER | A guider object configured with the specified models and conditioning for use in sampling. | GUIDER |
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