In this video, I'll show you how to install ControlNet, a group of additional models that allow you to better control what you are generating with Stable Diffusion. We'll cover the entire installation process, from installing the OpenCV library to downloading the ControlNet models, as well as fixing issues with Gradio. By the end of this video, you'll be ready to experiment with ControlNet and take your Stable Diffusion creations to the next level! Don't forget to subscribe to the channel for more Stable Diffusion-related content.

Chapters:
0:00 Introduction
0:37 Step 1: Install OpenCV Library
1:32 Step 2: Install the ControlNet Extension
3:07 Step 3: Download the required Models
7:04 How to fix Gradio Errors
9:02 Thank you!

The official Repository for ControlNet for Automatic1111: [ Ссылка ]

The official models for ControlNet on HuggingFace:
[ Ссылка ]

Pre-Trained models by TheAlly on Civitai:
[ Ссылка ]
or
[ Ссылка ]
(You can pick and choose which models you use, they produce similar but slightly different images)

Here is a list of the commands used in the video so that you can copy and paste them if needed:

pip install opencv-python
pip install gradio==3.16.2

A Blog post with screen shots and text is here:
[ Ссылка ]

#automatic1111 #stablediffusion #controlnet #automatic1111troubleshooting #stablediffusiontutorial #git #github

свернуть