> ## 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.

# WanUni3CControlnetApply - ComfyUI Built-in Node Documentation

> Complete documentation for the WanUni3CControlnetApply node in ComfyUI. Learn its inputs, outputs, parameters and usage.

## Overview

This node applies a Uni3C ControlNet to a Wan video diffusion model, using a rendered guidance video (e.g., warped point cloud renders) to influence the model’s output. It injects control signals at specific block layers, enabling camera‑trajectory‑based guidance during video generation.

## Inputs

| Parameter       | Description                                                                                                          | Data Type    | Required | Range                        |
| --------------- | -------------------------------------------------------------------------------------------------------------------- | ------------ | -------- | ---------------------------- |
| `model`         | The Wan diffusion model to patch.                                                                                    | MODEL        | Yes      | –                            |
| `model_patch`   | A Uni3C ControlNet patch (must be an instance of `comfy.ldm.wan.uni3c.WanUni3CControlnet`).                          | MODEL\_PATCH | Yes      | –                            |
| `vae`           | The VAE used to encode the guidance video into latents.                                                              | VAE          | Yes      | –                            |
| `render_video`  | The guidance video rendered from the camera trajectory, most commonly warped point cloud renders of the input image. | IMAGE        | Yes      | –                            |
| `strength`      | The strength of the control signal applied.                                                                          | FLOAT        | Yes      | -10.0 to 10.0 (default: 1.0) |
| `start_percent` | The percentage of the denoising process at which the control starts.                                                 | FLOAT        | Yes      | 0.0 to 1.0 (default: 0.0)    |
| `end_percent`   | The percentage of the denoising process at which the control ends.                                                   | FLOAT        | Yes      | 0.0 to 1.0 (default: 1.0)    |

**Notes:**

* The `model_patch` must be a Uni3C ControlNet; otherwise the node raises an error.
* The controlnet’s internal dimension must match the Wan model’s dimension – an error is raised if they differ.
* The `render_video` input image is expected to be in RGB format (only the first 3 channels are used).

## Outputs

| Output Name | Description                                              | Data Type |
| ----------- | -------------------------------------------------------- | --------- |
| `MODEL`     | The patched Wan model with the Uni3C ControlNet applied. | 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/WanUni3CControlnetApply/en.md)

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