> ## Documentation Index
> Fetch the complete documentation index at: https://dripart-feat-openapi-i18n.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# UNetTemporalAttentionMultiply - ComfyUI Built-in Node Documentation

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

The UNetTemporalAttentionMultiply node applies multiplication factors to different types of attention mechanisms in a temporal UNet model. It modifies the model by adjusting the weights of self-attention and cross-attention layers, distinguishing between structural and temporal components. This allows fine-tuning of how much influence each attention type has on the model's output.

## Inputs

| Parameter          | Description                                                         | Data Type | Required | Range      |
| ------------------ | ------------------------------------------------------------------- | --------- | -------- | ---------- |
| `model`            | The input model to modify with attention multipliers                | MODEL     | Yes      | -          |
| `self_structural`  | Multiplier for self-attention structural components (default: 1.0)  | FLOAT     | No       | 0.0 - 10.0 |
| `self_temporal`    | Multiplier for self-attention temporal components (default: 1.0)    | FLOAT     | No       | 0.0 - 10.0 |
| `cross_structural` | Multiplier for cross-attention structural components (default: 1.0) | FLOAT     | No       | 0.0 - 10.0 |
| `cross_temporal`   | Multiplier for cross-attention temporal components (default: 1.0)   | FLOAT     | No       | 0.0 - 10.0 |

## Outputs

| Output Name | Description                                        | Data Type |
| ----------- | -------------------------------------------------- | --------- |
| `model`     | The modified model with adjusted attention weights | 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/UNetTemporalAttentionMultiply/en.md)

***

**Source fingerprint (SHA-256):** `b43c7c51cbc71349dd267c4abe1704899a394e205a60a13b45869f690d83a0f0`