> ## Documentation Index
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> Use this file to discover all available pages before exploring further.

# CFGNorm - ComfyUI Built-in Node Documentation

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

> 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)

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  | Data Type | Input Type | Default | Range       | Description                                                                   |
| ---------- | --------- | ---------- | ------- | ----------- | ----------------------------------------------------------------------------- |
| `model`    | MODEL     | required   | -       | -           | The diffusion model to apply CFG normalization to                             |
| `strength` | FLOAT     | required   | 1.0     | 0.0 - 100.0 | Controls the intensity of the normalization effect applied to the CFG scaling |

## Outputs

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