Stable Diffusion is a machine learning model developed by Stability AI to generate digital images from natural language descriptions. The model can be used for different tasks like generating image-to-image translations guided by text prompts and upscaling images.
Unlike competing models like DALL-E, Stable Diffusion is open source and does not artificially limit the images it produces. Stable diffusion was trained on a subset of the LAION-Aesthetics V2 data set. It can run on most consumer hardware equipped with a modest GPU and was hailed by PC World as "the next killer app for your PC".

Since Stable Diffusion is run locally and not in the cloud, as mentioned there is no limit to the number of images that you can produce but in order to use it you will have to get down a little dirty with setting your PC environment for it since it is not really an application, it is a command line text based descriptor that will use python to generate your images, so there is no install nor GUI.
In this guide, we will show you how to both install and run Stable Diffusion on your local PC so you can start producing some cool images all by yourself.
Hardware and software requirements
Make no mistake, Stable Diffusion will not run on a potato PC, in order to harvest the power of AI-generated imagery this is what you will need:
- A GPU with at least 4GB of VRAM
- 10GB of hard disk space
- Python and libraries (Miniconda3 installer will install everything you need)
- The Stable Diffusion files
- Git
- Any OS (Windows, Linux, macOS)
Installing components
For this tutorial, we are covering the installation and running of Stable Diffusion on Windows PC. The steps presented here are presented in a way that installation can be performed on any operating system but precise instructions will be for Windows OS.
GIT
The first thing to do is to install GIT. It is a tool that will let you easily maintain and install repos from the internet. to install it go to: https://git-scm.com/ and click on download. Follow the instructions for your version of the operating system. If you are a developer you are familiar with GIT and if you already have it installed you can skip this step.
One thing that is important when installing GIT locally is to select to use it via the command line (the second option that says "Git from the command line and also from 3rd-party software").
Miniconda3
Now when we have GIT installed, next thing is to use Miniconda3 to install python and all required libraries that are needed. Get the installer at: https://docs.conda.io/en/latest/miniconda.html
Miniconda3 is basically an easy installer so you do not have to install tons of stuff manually from different websites and sources, it is nicely packaged in the installer that will take care of everything.
Stable Diffusion
After the previous two steps, we are ready now to actually install Stable Diffusion. Go to https://huggingface.co/CompVis/stable-diffusion#model-access and install the latest library (as of the writing of this article currently it is stable-diffusion-v1-4-original, the last one on the right), the library is almost 5GB in size so be prepared for big download.
After installing stable diffusion's latest library it is time to update it to the newest version. You can download ZIP from GIT HUB https://github.com/CompVis/stable-diffusion
Once downloaded click on the Windows start button and type in Miniconda3 and click on open. Create a folder and name it how you want on a drive of your choice. For this example, we will install it all in disk C under folder AI_art, follow the instructions below but use your own names and destination instead. Do not close Minicoda3 after typing commands!!!
cd c:/
mkdir AI_art
cd AI_art
Extract GitHub files that you have downloaded into your new folder and get back to Minicoda3 and type the next commands:
cd C:\AI_art\stable-diffusion-main
conda env create -f environment.yaml
conda activate ldm
mkdir models\ldm\stable-diffusion-v1
Let the whole process finish, some files are large and it might take a while. After the whole process is finished and completed, copy the checkpoint file that you have downloaded into: C:\AI_art\stable-diffusion-main\models\ldm\stable-diffusion-v1
After the file is copied rename it to model.ckpt and you are finished.
Running Stable Diffusion
The created environment is needed in order to actually use Stable Diffusion to create images. Each time you want to use it you will have to run it, so go into Miniconda3, and inside it type:
conda activate ldm
cd C:\AI_art\stable-diffusion-main
after we are inside the folder call the script with the parameters:
python scripts/txt2img.py --prompt "TXT DESCRIPTION OF IMAGE THAT YOU WANT TO CREATE" --plms --n_iter 5 --n_samples 1
and that's it, your image is created and it is located in C:\AI_art\stable-diffusion-main\outputs\txt2img-samples\samples

As more and more people get into insider preview of upcoming Windows 11 we will see more and more different takes and opinions on it.
Generally speaking, the first wave was quite positive when it was previewed but how time is passing more and more limitations and frustration comes to the surface.
Some of the limitation that is inside it, which have been confirmed by Microsoft itself includes features missing that we had in Windows 10 like moving the application to the taskbar in order to pin it, moving the file in the taskbar to open it in default application and some big annoyances like Windows opening widgets always in Edge no matter what is your default browser. Not being able to move the taskbar from the bottom is also one of many illogical things.
There is not really a point in these missing features since they were working fine in Windows 10 and many users liked them since they could customize Windows more to their liking, now with this new look at limitations it reminds me personally much of apple macOS and I will be honest, I am not a big fan of that kind of thinking.
If I wanted that kind of OS I would have gotten myself a MAC, not custom build PC, but hey, Linux is always a free alternative, and how Microsoft itself is pushing limitations and in my opinion bad design choices along with awful system requirements that might just be a case for a lot of users.
I am really not sure what is logic behind these moves and I am sure they have their reasons but this time it seems that their take on the new OS is not resonating well with the overall user population, well at least what I have heard so far. Things of course can still be changed and made for the better and I would rather see release postponed and issues addressed than getting more system hogging and limited new OS that at its current state looks like reskinned Windows 10 with limitations.
From the menu choose command prompt (admin)
In command prompt type sfc /scannow and press ENTER
Leave the computer for the operation to be completed and Reboot your computer
In order to make a keyboard shortcut for the desired folder know that it is available only when you have a shortcut of the desired folder, it cannot be done on the folder itself, only on its shortcut. Now folder shortcut does not need to reside on desktop, you can place it anywhere you like, but it must be a shortcut.
So the first step is of course to make a shortcut of the folder that you wish to have access via keyboard key combination and place it where you wish.
Once you have done this step, right-click on it and choose properties. Inside properties at the top click on the Shortcut tab and then inside Shortcut Key, press the key combination that you wish to associate with this folder. Confirm with OK and start using fast folder access with your desired key combination. 
A not long time ago we had an article about the deep WEB and dark WEB here on errortools.com explaining its origins and its purpose. The article can be found here if you are interested: 