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
Microsoft has announced Windows 365, a new cloud-based operating system aimed mainly at businesses of all sizes.
Just after Windows 11 announcement and presentation, we are seeing another Windows announcement from Microsoft. Dive into the following text in order to find out what exactly is new Windows 365, its role in today's IT world, and do you need it?
REevil is one of the most active and successful hacking groups connected to Russia and operating all over the world. The group recently demanded a huge bitcoin ransom for an attack targeting IT firm Kaseya in the USA.
Since Tuesday blog and payment site run by REvil group cannot be longer reached without any kind of explanation or why.
The reason behind the disappearance is unknown but has sparked speculation that the group may have been targeted deliberately by authorities.
US President Joe Biden said he raised the issue with Vladimir Putin during a phone call on Friday, after discussing the subject during a summit with the Russian president in Geneva last month.
Mr. Biden told reporters that he had "made it very clear to him...we expect them to act" on information and also hinted the US could take direct digital retaliation on servers used for intrusions.
The timing of Tuesday's outage has sparked speculation that either the US or Russian officials may have taken action against REvil - though officials have so far declined to comment and cyber experts say sudden disappearances of groups are not necessarily uncommon.
The development comes after a series of high-profile ransomware attacks which have hit major US businesses this year.
The FBI accused REvil - also known as Sodinokibi - of being behind a ransomware attack on the world's largest meat processing company JBS last month. 
The Clear Linux Project creates an operating system and software stack that offers highly optimized performance, security, versatility, and manageability.
Clearly optimized for Intel CPUs and based on GNOME it will offer you incredible speeds if you are on Intel CPU.
The big news, though, is that Clear Linux sports the shiny new Gnome 40. This is a fresher Gnome than you'll find even on Ubuntu's more experimental 21.04 release. The only big names that let you test drive Gnome 40 are Fedora and Arch Linux.
