> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comfy.org/llms.txt
> Use this file to discover all available pages before exploring further.

# TemporalScoreRescaling - ComfyUI Built-in Node Documentation

> This node applies Temporal Score Rescaling (TSR) to a diffusion model.

This node applies Temporal Score Rescaling (TSR) to a diffusion model. It patches the model so that, during sampling, the predicted score or noise is rescaled to steer the diversity of generated results. This is implemented as a post-CFG (Classifier-Free Guidance) function.

## Inputs

| Parameter | Description | Data Type | Required | Range |
| - | - | - | - | - |
| `model` | The diffusion model to be patched with the TSR function. | MODEL | Yes | - |
| `tsr_k` | Controls the rescaling strength. Lower k produces more detailed results; higher k produces smoother results in image generation. Setting k = 1 disables rescaling. (default: 0.95) | FLOAT | Yes | 0.01 - 100.0 |
| `tsr_sigma` | Controls how early rescaling takes effect. Larger values take effect earlier. (default: 1.0) | FLOAT | Yes | 0.01 - 100.0 |

Note: Rescaling is skipped when `tsr_k` is set to 1, when the sigma value is 0, or when the signal-to-noise ratio is 0.

## Outputs

| Output Name | Description | Data Type |
| - | - | - |
| `patched_model` | The input model, now patched with the Temporal Score Rescaling function 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/TemporalScoreRescaling/en.md)

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