---
title: "What Does Each Model of ControlNet v1.1 Do?"
date: 2023-05-02T15:30:38.000Z
author: Z.SHINCHVEN
tags: [ControlNet, Stable Diffusion]
canonical: https://atlassc.net/2023/05/03/models-of-controlnet-v11
---
![ControlNet](https://blogimgs.atlassc.net/images/controlnet-v11/controlnet.jpeg)

ControlNet 1.1 includes 14 models (11 production-ready models and 3 experimental models). Here is a list of the models and their brief descriptions:

| Model                             | Description                                                                  |
| --------------------------------- | ---------------------------------------------------------------------------- |
| control\_v11p\_sd15\_canny           | Edge detection.                                                              |
| control\_v11p\_sd15\_mlsd            | Multi-line segment detection.                                                |
| control\_v11f1p\_sd15\_depth         | Depth estimation.                                                            |
| control\_v11p\_sd15\_normalbae       | Normal map estimation.                                                       |
| control\_v11p\_sd15\_seg             | Semantic segmentation.                                                       |
| control\_v11p\_sd15\_inpaint         | Image inpainting.                                                            |
| control\_v11p\_sd15\_lineart         | Line art generation.                                                         |
| control\_v11p\_sd15s2\_lineart\_anime | Anime line art generation.                                                   |
| control\_v11p\_sd15\_openpose        | Human pose estimation.                                                       |
| control\_v11p\_sd15\_scribble        | Scribble-based image colorization.                                           |
| control\_v11p\_sd15\_softedge        | Soft edge detection.                                                         |
| control\_v11e\_sd15\_shuffle         | Experimental model that shuffles input image pixels to generate a new image. |
| control\_v11e\_sd15\_ip2p            | Experimental model that generates an image from a given input point cloud.   |
| control\_v11f1e\_sd15\_tile          | Experimental model that generates a tiled image.                             |


You can download all these models from the [HuggingFace Model Page](https://huggingface.co/sebastianruder/controlnet-1.1). All these models should be put in the folder "models".