* This blog post is a summary of this video.

How to Generate Stunning AI Images for Free Using Stable Diffusion

Author: Mr LemonTime: 2024-03-23 14:35:01

Table of Contents

Installing Python, Git, and Stable Diffusion

First, we need to download and install Python and Git. These are prerequisite programs that allow us to install and run Stable Diffusion on our local computer.

Go to the official download pages for Python and Git. Make sure to get the 64-bit Windows installers. Once downloaded, install both programs by running the installer files. Accept all the default settings.

With Python and Git installed, we can now clone the Stable Diffusion repository from GitHub and launch the web UI.

This will automatically install Stable Diffusion with the latest updates and models. We just need to copy and paste a git clone command into the command prompt.

Downloading Python and Git

First download the latest 64-bit Windows installers for both Python and Git. All the direct download links are provided in the video description for convenience. Save the installer files into a dedicated folder for the Stable Diffusion installation. This keeps everything organized in one place.

Cloning the Stable Diffusion Repository

Open the command prompt by typing CMD in the file explorer address bar. This opens a terminal window. Paste in the git clone command from the video description. This automatically pulls down the entire Stable Diffusion repository from GitHub onto your local computer. Wait for the process to complete. A new folder called stable-diffusion-webui will be created containing all the code and files needed to run Stable Diffusion.

Launching the Stable Diffusion Web UI

Inside the new local repository, run the web-ui-user.bat file. This launches the Stable Diffusion web interface. Copy the local URL that is displayed and paste it into your web browser. The Stable Diffusion UI should now be accessible. You can now start generating images by entering text prompts. The interface allows changing settings like image dimensions and sampling methods to control output.

Adding Stable Diffusion XL Models

While the base Stable Diffusion model produces decent images, even better results can be achieved with XL variants. These are upgraded models fine-tuned on much more data.

We will install two XL models - the 1.0 base model for general image generation, and the 1.0 refiner model for enhancing existing images.

Go to the model library at huggingface.co and find the download links provided in the video description.

Download both model files locally, then cut and paste them into the models folder of your Stable Diffusion repository.

Back in the web UI, click the Refresh button to reload available models. The XL base and refiner models should now be selectable.

Installing Helpful Extensions

Extensions add new functionality to enhance the Stable Diffusion web UI. Two great ones to install are the ControlNet manipulator and Aspect Ratio Selector.

ControlNet allows modifying aspects of a generated image while keeping the rest of the content intact. The Aspect Ratio Selector simplifies switching between portrait, landscape, and square image formats.

ControlNet Manipulation

In the Extensions tab, use the search bar to find ControlNet Manipulation. Click install to add it. With ControlNet enabled, click on any part of a generated image and drag to transform just that region while keeping surrounding content frozen.

Aspect Ratio Selector

Also search for and install the Aspect Ratio Selector Plus extension. This adds convenient buttons to change between portrait, landscape and other image dimensions.

Extra Tips for Better Generations

A few simple tweaks can significantly improve Stable Diffusion results. We'll edit the launch script to enable XL model support, dark mode UI, and auto launching on startup.

Using Transformers

Edit the web-ui-user.bat file with Notepad++ and add the flag --xformers on a new line after the existing command. This enables advanced transformer networks for better image generation quality.

Dark Theme

On another new line, add the flag --theme dark to enable a sleek dark color theme for the web interface. This creates less eye strain when working with Stable Diffusion for long periods.

Auto Launch

Finally, add --auto-launch so the UI starts up automatically whenever the batch script is run. Now double clicking the file will conveniently open Stable Diffusion with no additional steps needed.

Updating Stable Diffusion

As improvements to Stable Diffusion are released, you can easily update your local installation with Git.

Open the command prompt in the stable-diffusion-webui folder and run git pull. This fetches the latest code from GitHub.

Any updates will automatically be applied. Remember to run this periodically to stay on the cutting edge!


Q: Do I need an expensive subscription to use AI image generation?
A: No, with this guide you can install Stable Diffusion locally on your computer for free to generate AI images.

Q: What hardware/software do I need?
A: You need a Windows computer with enough storage space and you need to install Python, Git, and Stable Diffusion.

Q: How good are the images I can generate?
A: With Stable Diffusion XL models you can generate stunning, professional looking AI images for free.

Q: Can I make money with the generated images?
A: You can use the images freely for personal use. Be aware of copyright laws for commercial use.

Q: Do I need coding skills for this?
A: No coding required. The process is very easy to follow using simple command prompts.

Q: How long does installation and setup take?
A: Around 30 minutes for downloading and installing everything.

Q: What kind of images can I generate?
A: Any images you can imagine - landscapes, portraits, architecture, album covers, products, and more.

Q: Can I select specific styles or artists?
A: Yes, you can find additional models created in different styles for Stable Diffusion.

Q: How often are updates released?
A: Frequently, usually multiple updates per month for enhancements.

Q: Is there a community to get help or share creations?
A: Yes, there are many forums, groups, and sites to showcase Stable Diffusion images.