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How to Install Stable Diffusion on Mac: Automatic1111 – 2024 guide

How to install Stable Diffusion on Mac


Hello and welcome to the Generative X Blog! Do you own a Mac and would like to be able to take advantage of the incredible power of Stable Diffusion, without having to use free but slow online tools? You are in the right place! In this article we will explain how to install Automatic1111 locally on your Mac, so you can generate your images independently and in full control!
Thanks to the Automatic1111 interface you will be able to generate images of any type, so realistic that even you will no longer be able to distinguish the real from the fake! Incredible right?
Stable Diffusion Image Examples
Here are some images example you can easily generate using Stable Diffusion: realistic and high quality images
We at The GenerativeX are your guide to the world of financial freedom through artificial intelligence, and we want to enable everyone to take advantage of these AI tools that have changed our lives. For this reason if you are a Windows user we attach the link to our article “How to Install Stable Diffusion: Automatic1111 latest version – 2024.” dedicated to users who use this operating system.
Did you know that we created a course on Stable Diffusion? Starting from 0 you will learn not only how to use Automatic1111 but you will be able to generate your own realistic AI influencer model like Aitana Lopez. You will become an expert in no time and have a lot of success, all this just by accessing the course using this link.
Always keep up to date because you will find a lot of AI content, explained in detail, both topics covered for beginners but also for experts. Subscribe to our Youtube channel, where you will find video guides and many real-life experiments that we want to share with you. And also don’t forget to share this article with all the Apples fans you know!.

Important Links

Youtube Channel
Twitter Account
Online Course
Python Installation
HomeBrew Installation
GIT Installation
Stable Diffusion Model
The table above contains all the links necessary to correctly follow the tutorial

Macbook Air VS Pro: Which one to buy to use Stable Diffusion?

Mac Air vs Mac pro
Visual difference between Macbook Air and Macbook Pro

If in the Windows operating system you had to pay attention to the VRam and therefore respect minimum hardware requirements, in macOS the situation is different. In fact, as you can read in the Macworld article

They’re not like other computers […] The old way of thinking of RAM is dead. Welcome to the world of the Unified Memory Architecture.

If you are interested in generating high resolution and quality images obviously the choice falls on the pro models as they have processors that are able to release high computing power and would allow you to generate images with minimal effort.

Obviously the two Macbooks have a significant price difference, if you have a budget to buy the MacAir and you intend to use the computer mostly to use Stable Diffusion, personally we recommend you go for a Windows desktop computer which, thanks to the infinite choices of video card, can offer you better results, even more than those you can achieve with a Pro.

Otherwise, if it is not possible for you to purchase a powerful computer or it is not your priority, we offer you a free and online method that does not require GPU through which you can generate high-quality realistic images: read our article to understand more, “How to use stable diffusion without GPU: Online and Free!” .

What you need to get started

To download Stable Diffusion, the text to image model, you have to download the necessary software and programs: the procedure is very similar to the one we covered in the article on Windows, you have to install Python and Git. Apart from them, to install Git, you also need to download HomeBrew. Don’t know what they are? Don’t worry, we’ve attached a table below with definitions of each.

PythonIt is the programming language used to develop the stable diffusion model. For this tutorial you must install a specific version, version 3.10.6.
GitIt is a distributed version control system. This means that it tracks changes to files and directories over time.
HomeBrewIt is a free and open-source software package management system that simplifies the installation of software on Apple’s operating system, macOS, as well as Linux.
The table above contains all the definitions of necessary software/programs to install

Python Installation

Python version 3.10.6
Python is the programming language used to develop the stable diffusion model.

As the first step of this tutorial you have to download Python, you must install a specific version version 3.10.6: using a lower or higher version will prevent stable diffusion from working.

If you already have python make sure you have the correct version, otherwise follow these steps.

To install python open your search engine and type “python 3.10.6 Download”. Now open the first result and make sure you are on the right page: click here to open the Python 3.10.6 download page.

Scroll down and click the recommended “macOS 64-bit universal2 installer” link

mac0S 64-bit download link
To install Python on macOs click the download link “mac0S 64-bit universal2 Installer”

Once the download process is complete, you need to click on the Python Installer on your Mac and the installation window will launch. Proceed by clicking the “Continue” button.

After clicking python installer on your Mac a installation window will launch like this one.

In order to continue you need to read the software license and agree the terms of the software license agreement. So, click the “I Agree” button, then “Install” and wait for the files to be written and the package scripts to run. Then close the installation screen and move the Python installer to the trash.

NOTE: If you have not downloaded version 3.10.6 you may encounter errors in the next steps, we advise you to check which version you have downloaded once you have followed and completed the procedure. In our previous article we teach you how to check the version: click here and take a look at the chapter “Extra TIP: Check your Python version after downloading”.

GIT and HomeBrew Installation

Git and Homebrew logos
On the Mac, thanks to Homebrew you can download Git

As the second step of this tutorial you have to download Git, in order to do it on Mac you need a helper, we are talking about HomeBrew. There are several options for installing Git on macOS: HomeBrew, MacPorts, Xcode, Binary Installer and others. In this tutorial we will install HomeBrew, because we believe it is the most popular and immediate to use. Let’s see how to download Git correctly!

The first step to proceed with the git installation is to search for “GIT” in your search engine. To access the download section of GIT click this link. Once you enter the page, click the macOs icon.

You will see a list of ways to install macOS, but you must use HomeBrew for this tutorial. If you have already installed HomeBrew, skip the next paragraph

Click the HomeBrew link in the Git page or access it with clicking this link, in this way you will find yourself on the official HomeBrew page.

Download HomeBrew from Git
You can download HomeBrew from this link on the Git page

HomeBrew Installation

Once you are in the same page as the one below: you need to copy the command that will be used to install it, use the icon on the right (indicated by an arrow in the image below) or select it with the cursor and copy it with Command+C.

HomeBrew Official Page
Download HomeBrew on you Mac copying and pasting the command line on the terminal

NOTE: When you are shown a command, it is usually preceded by the $ symbol. You should NEVER enter this symbol when pasting any command into the terminal, because it will give you an error. This symbol is used to indicate that you need to paste the command into your Terminal.

Then paste it with Command+V into a new terminal. To open a new terminal, simply search for “Terminal” with Spotlight (to open it we remind you of the Command+Spacebar shortcut).

GIT installation

If you have installed Homebrew or already have it, you can proceed with the Git installation.

Simply go to the “Downloads Git on MacOs” page by clicking this link . As you can see under the title “HomeBrew”, in the paragraph there is a brew install git command, you have to copy and paste it into a new terminal. We recommend using a new terminal for everything to work.

Git Installation with HomeBrew
Install git by pasting the command highlighted in the image above into your terminal

Automatic1111: an easy and intuitive interface to use

Once you have installed Python and Git, you need a user-friendly application to generate your art using Stable Diffusion. One popular and efficace option is to use the web interface Automatic1111. This interface has gained widespread popularity, and you’ve likely encountered it before. With Automatic1111, you can seamlessly generate your artwork with just a few clicks, making the process effortless and intuitive.

If you have difficulty following these steps or need more information, we would like to point out that we have created a course dedicated to Stable Diffusion: you will learn how to generate realistic AI Influencer Models using Stable Diffusion.
We will take you from having no knowledge to becoming a Stable Diffusion Expert, access the course clicking this link

Automatic1111 Installation

To get started, you need to download the Automatic1111 source code on GitHub, which is a platform where developers publish software source code: click this link to access the official page, this way you will be sure not to download harmful programs for your computer.

Click on the green “Code” button and a small popup will open showing you a command. Before copying and pasting it in a new terminal, we recommend you to create a dedicated folder where you will install the A1111 interface.

GitHub Screen and a command to install A1111
Step 1: click the green button; Step 2: click the copy icon to copy the command to past it after

After creating a folder on your Mac, open your terminal and navigate to the new folder using cd [folder-path]/[folder-name]. In our case, we created a folder called “stable-diffusion” inside “documents” so we type cd Documents/stable-diffusion.

NOTE: There is a quick way to create a folder using your Mac’s terminal: first you need to type cd [folder-creation-place] to navigate where you want to create a new folder, click return and then type mkdir [new-folder-name] where you replace [new-folder-name] with the folder name you want. For example, we want to create a folder called “stable-diffusion” inside “documents” so we type first cd Documents and then mkdir stable-diffusion.

navigate to you folder to install stable-diffusion-webui
To navigate into a specific folder, type the command: cd [folder-path]/[folder-name]. As the image above

Paste the command provided to you by the GitHub page, preceded by git clone. You have to write the following command: git clone

That’s it, you’ve installed the essential packages. Great Job! You can take a look by looking for the folder you created, you should see a folder inside it called “stable-diffusion-webui”. Inside this folder there will be many files, but don’t worry: for now, you don’t need to know what all these folders do, in the future we will explain the most essential one.

New stable diffusion webui folder
After installing Stable Diffusion from GitHub you can see a new folder called stable-diffusion-webui

If you encountered any problems or difficulties , please don’t hesitate to tweet us. We will try to respond and help you promptly.

Stable Diffusion Installation

Inside the newly installed folder, scroll until you find the “model” folder and click on its “Stable-Diffusion” subfolder. Inside there is a .txt file that says “Put stable diffusion checkpoints here”. What we need to do is to download and insert into it the base model, we are talking about Stable Diffusion.

A txt file inside Stable Diffusion folder
A txt file inside Stable Diffusion folder say to insert Stable Diffusion checkpoints there

NOTE: The basic model, is the first one we need to download because when we will add the other online models, they will work based on that model because created starting from this base model

There are many other models based on Stable Diffusion and we will show you some really incredible ones in our articles and video guides in the future, but if you are curious take a look at our post on Twitter where we compared some models.

Hugging Face

To install Stable Diffusion we will use Hugging Face, a company that develops tools for building applications using machine learning. If you are interested you can read more about this company here on Wikipedia

Enter to the Stable Diffusion download page clicking this link. Scroll down until you find the section titled “Original Github Repository” and click the first link to download the basic model with version 1.5 and approximately 5 GB in size.

Base Model v1.5 to install
Click on the first download link to download the lighter version

Once you have downloaded the file you must drag it from the downloads to the “Stable-Diffusion” subfolder of the “model” folder, the one where you found the txt file. Now return back to the parent folder, “stable-diffusion-webui” and scroll until you find a file called “”. Open a new terminal and drag the file into it and click return.

If you’ve completed all the previous steps correctly, you’ll be able to see the installation process has started. It may take a while, this is normal, the latency is mainly due to a slow connection. The Automatic1111 web interface will automatically open in your default browser once everything is completed. If this is not the case, don’t worry, read the next paragraph to understand how to open it manually

How to Open Automatic1111

To launch the automatic1111 interface, just open a terminal and drag in the “” file you found in the “stable-diffusion-webui” folder. If it doesn’t open automatically or you accidentally closed your browser tab, you can open it manually using the terminal. Let’s see how.

As you can see in the image below, the address on our browser is the same as the one indicated in the terminal. So to open it, simply select this address with the mouse, copy it using the shortcut "Command+C" and pasting with "Command+V" into a tab of your browser.

how to manually open automatic1111
To manually open Automatic1111 Diffusion select your Local URL from terminal, copy it and paste it into your browser

Generate your First Image with Stable Diffusion

In the first box of A1111 interface, at the top, you can enter a “prompt“: for simplicity, the prompt is the description of the image you want to generate. Write a small description in the prompt, in my case I wrote “dog Illustration”, you can describe anything you want to generate. Then click the orange “Generate” button on the right.

Prompt Example
In the prompt input write a small description of what you want to generate. Then generate it

If everything has worked you should be able to see an image that represents, even approximately, your prompt: if your image is deformed or inconsistent with the prompt, don’t worry this is due to the fact that we haven’t set the correct settings yet.


We have taught you how to install Automatic1111 interface and Stable diffusion on macOS operating systems. You have been guided through the installation of Python, Git and HomeBrew, essential programs to be able to start Automatic111. You have then installed the A1111 interface, starting from the link we left at the top of the article, and downloaded the Stable Diffusion model from HuggingFace. You have learned how to manually open A1111 and also generated your first image.

In the next articles we will delve into every little part of this incredible Automatic1111 interface, revealing useful tips and teaching you how to generate extraordinary images.We also wrote an article and posted a video on YouTube for those who can’t use Stable Diffusion locally, allowing them to generate high quality images too – check it out: “How to use stable diffusion without GPU: Online and Free!” .

Don’t forget to share this article with your friends and colleagues; Subscribe to our YouTube channel and follow us on Twitter to find out other contents related to knowledge of the AI world and its tools.

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