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# CFGNorm - ComfyUI Built-in Node Documentation

> Complete documentation for the CFGNorm node in ComfyUI. Learn its inputs, outputs, parameters and usage.

The CFGNorm node applies a normalization technique to the classifier-free guidance (CFG) process in diffusion models. It adjusts the scale of the denoised prediction by comparing the norms of the conditional and unconditional outputs, then applies a strength multiplier to control the effect. This helps stabilize the generation process by preventing extreme values in the guidance scaling.

## Inputs

| Parameter  | Description                                                                                  | Data Type | Required | Range        |
| ---------- | -------------------------------------------------------------------------------------------- | --------- | -------- | ------------ |
| `model`    | The diffusion model to apply CFG normalization to                                            | MODEL     | Yes      | -            |
| `strength` | Controls the intensity of the normalization effect applied to the CFG scaling (default: 1.0) | FLOAT     | Yes      | 0.0 to 100.0 |

## Outputs

| Output Name     | Description                                                                       | Data Type |
| --------------- | --------------------------------------------------------------------------------- | --------- |
| `patched_model` | Returns the modified model with CFG normalization applied to its sampling process | MODEL     |

> 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/CFGNorm/en.md)

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