> ## 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.

# ZImageFunControlnet - ComfyUI Built-in Node Documentation

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

The ZImageFunControlnet node applies a specialized control network to influence the image generation or editing process. It uses a base model, a model patch, and a VAE, allowing you to adjust the strength of the control effect. This node can work with a base image, an inpainting image, and a mask for more targeted edits.

## Inputs

| Parameter       | Data Type    | Required | Range         | Description                                                                                                                            |
| --------------- | ------------ | -------- | ------------- | -------------------------------------------------------------------------------------------------------------------------------------- |
| `model`         | MODEL        | Yes      | -             | The base model used for the generation process.                                                                                        |
| `model_patch`   | MODEL\_PATCH | Yes      | -             | A specialized patch model that applies the control network's guidance.                                                                 |
| `vae`           | VAE          | Yes      | -             | The Variational Autoencoder used for encoding and decoding images.                                                                     |
| `strength`      | FLOAT        | Yes      | -10.0 to 10.0 | The strength of the control network's influence. Positive values apply the effect, while negative values can invert it (default: 1.0). |
| `image`         | IMAGE        | No       | -             | An optional base image to guide the generation process.                                                                                |
| `inpaint_image` | IMAGE        | No       | -             | An optional image used specifically for inpainting areas defined by a mask.                                                            |
| `mask`          | MASK         | No       | -             | An optional mask that defines which areas of an image should be edited or inpainted.                                                   |

**Note:** The `inpaint_image` parameter is typically used in conjunction with a `mask` to specify the content for inpainting. The node's behavior may change based on which optional inputs are provided (e.g., using `image` for guidance or using `image`, `mask`, and `inpaint_image` for inpainting).

## Outputs

| Output Name | Data Type    | Description                                                                             |
| ----------- | ------------ | --------------------------------------------------------------------------------------- |
| `model`     | MODEL        | The model with the control network patch applied, ready for use in a sampling pipeline. |
| `positive`  | CONDITIONING | The positive conditioning, potentially modified by the control network inputs.          |
| `negative`  | CONDITIONING | The negative conditioning, potentially modified by the control network inputs.          |