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# QwenImageDiffsynthControlnet - ComfyUI Built-in Node Documentation

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

The QwenImageDiffsynthControlnet node applies a diffusion synthesis control network patch to modify a base model's behavior. It uses an image input and optional mask to guide the model's generation process with adjustable strength, creating a patched model that incorporates the control network's influence for more controlled image synthesis.

## Inputs

| Parameter     | Data Type    | Required | Range         | Description                                                                                        |
| ------------- | ------------ | -------- | ------------- | -------------------------------------------------------------------------------------------------- |
| `model`       | MODEL        | Yes      | -             | The base model to be patched with the control network                                              |
| `model_patch` | MODEL\_PATCH | Yes      | -             | The control network patch model to apply to the base model                                         |
| `vae`         | VAE          | Yes      | -             | The VAE (Variational Autoencoder) used in the diffusion process                                    |
| `image`       | IMAGE        | Yes      | -             | The input image used to guide the control network (only RGB channels are used)                     |
| `strength`    | FLOAT        | Yes      | -10.0 to 10.0 | The strength of the control network influence (default: 1.0)                                       |
| `mask`        | MASK         | No       | -             | Optional mask that defines areas where the control network should be applied (inverted internally) |

**Note:** When a mask is provided, it is automatically inverted (1.0 - mask) and reshaped to match the expected dimensions for the control network processing.

## Outputs

| Output Name | Data Type | Description                                                                   |
| ----------- | --------- | ----------------------------------------------------------------------------- |
| `model`     | MODEL     | The modified model with the diffusion synthesis control network patch applied |