The PerpNegGuider node creates a guidance system for controlling image generation using perpendicular negative conditioning. It takes positive, negative, and empty conditioning inputs and applies a specialized guidance algorithm that computes all three noise predictions in a single batch for efficiency. This node is designed for experimental testing and provides fine control over the guidance strength and negative scaling.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| --- | --- | --- | --- | --- |
| `model` | The model to use for guidance generation | MODEL | Yes | - |
| `positive` | The positive conditioning that guides the generation toward desired content | CONDITIONING | Yes | - |
| `negative` | The negative conditioning that guides the generation away from unwanted content | CONDITIONING | Yes | - |
| `empty_conditioning` | The empty or neutral conditioning used as a baseline reference for perpendicular negative guidance | CONDITIONING | Yes | - |
| `cfg` | The classifier-free guidance scale that controls how strongly the conditioning influences the generation (default: 8.0) | FLOAT | Yes | 0.0 - 100.0 |
| `neg_scale` | The negative scaling factor that adjusts the strength of the perpendicular negative effect (default: 1.0) | FLOAT | Yes | 0.0 - 100.0 |

## Outputs

| Output Name | Description | Data Type |
| --- | --- | --- |
| `guider` | A configured guidance system ready for use in the generation pipeline | 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/PerpNegGuider/en.md)

---
**Source fingerprint (SHA-256):** `02e4b4e0ea413da31c280cb1e510bdf5caa7b5187eb6de94632e45a91e881820`