# 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 |

> This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! [Edit on GitHub](https://github.com/Comfy-Org/embedded-docs/blob/main/comfyui_embedded_docs/docs/DualModelGuider/en.md)

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