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

# UNetSelfAttentionMultiply - ComfyUI Built-in Node Documentation

> Complete documentation for the UNetSelfAttentionMultiply 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/UNetSelfAttentionMultiply/en.md)

The UNetSelfAttentionMultiply node applies multiplication factors to the query, key, value, and output components of the self-attention mechanism in a UNet model. It allows you to scale different parts of the attention computation to experiment with how attention weights affect the model's behavior.

## Inputs

| Parameter | Data Type | Required | Range      | Description                                               |
| --------- | --------- | -------- | ---------- | --------------------------------------------------------- |
| `model`   | MODEL     | Yes      | -          | The UNet model to modify with attention scaling factors   |
| `q`       | FLOAT     | No       | 0.0 - 10.0 | Multiplication factor for query component (default: 1.0)  |
| `k`       | FLOAT     | No       | 0.0 - 10.0 | Multiplication factor for key component (default: 1.0)    |
| `v`       | FLOAT     | No       | 0.0 - 10.0 | Multiplication factor for value component (default: 1.0)  |
| `out`     | FLOAT     | No       | 0.0 - 10.0 | Multiplication factor for output component (default: 1.0) |

## Outputs

| Output Name | Data Type | Description                                              |
| ----------- | --------- | -------------------------------------------------------- |
| `MODEL`     | MODEL     | The modified UNet model with scaled attention components |
