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This documentation was AI-generated. If you find any errors or have suggestions for improvement, please feel free to contribute! Edit on GitHubThe 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 | Data Type | Required | Range | Description |
|---|---|---|---|---|
model | MODEL | Yes | - | The model to use for guidance generation |
positive | CONDITIONING | Yes | - | The positive conditioning that guides the generation toward desired content |
negative | CONDITIONING | Yes | - | The negative conditioning that guides the generation away from unwanted content |
empty_conditioning | CONDITIONING | Yes | - | The empty or neutral conditioning used as a baseline reference for perpendicular negative guidance |
cfg | FLOAT | Yes | 0.0 - 100.0 | The classifier-free guidance scale that controls how strongly the conditioning influences the generation (default: 8.0) |
neg_scale | FLOAT | Yes | 0.0 - 100.0 | The negative scaling factor that adjusts the strength of the perpendicular negative effect (default: 1.0) |
Outputs
| Output Name | Data Type | Description |
|---|---|---|
guider | GUIDER | A configured guidance system ready for use in the generation pipeline |
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