When Microsoft held Windows 11 presentation it took special time to present the upcoming new Windows 11 store as kind of a big deal.
It was openly stated that with new Windows we will get a new store with a different attitude and new look.
New Microsoft storeMicrosoft has stated that both customer and developer feedback over time has contributed to their redesign and rethinking of the store itself.
They want to be sure that policies for developers are more straightforward and clear so more developers will decide to bring their product to Windows. As for customers, they want more safety and more security so they feel protected when making a purchase.
The new store will come in Windows 11 but also in Windows 10 as well via update.
Introducing the new store will be curated stories. Microsoft believes that stores should be focused on user experience so stories from customers themselves will play a big role here. They are rich editorial content to keep you informed about the best apps and inspire you to achieve more with your device.
This approach to information is aimed at bringing unknown applications to users via presenting them in a professional manner.
Android apps in the store
As stated in Windows 11 unveiling and presentation, Android apps will work inside Windows 11. Microsoft has teamed up with Amazon to bring you Android apps directly inside Windows via the new Microsoft store.
When you are surfing on a certain webpage and want to save and install the application from there, a new pop-up store window will show allowing you to install the app directly.
Microsoft has not said will this feature work outside their Edge browser so we will have to wait and see about that.
Since now developers were tied to certain formats if they wanted to publish their application in any kind of environment. Microsoft wants to bridge this.
Windows developers can publish any kind of app, regardless of app framework and packaging technology – such as Win32, .NET, UWP, Xamarin, Electron, React Native, Java, and even Progressive Web Apps.
For Progressive Web Apps Microsoft has made open-source tool PWABuilder 3.
Starting July 28, app developers will also have an option to bring their own or a third-party commerce platform in their apps, and if they do so they don’t need to pay Microsoft any fee. They can keep 100% of their revenue.

Error CausesStable 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.
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:
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.
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").
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.
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.
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
dism.exe /online /remove-package /packagename:Package_for_RollupFix_Wrapper~31bf3856ad364e35~amd64~~16299.248.1.17 /packagename:Package_for_RollupFix~31bf3856ad364e35~amd64~~16299.125.1.6 /packagename:Package_for_RollupFix_Wrapper~31bf3856ad364e35~amd64~~16299.192.1.9 /packagename:Package_for_RollupFix~31bf3856ad364e35~amd64~~16299.192.1.9 /norestart
Dism.exe /online /Cleanup-Image /StartComponentCleanup
net stop wuauserv net start cryptSvc net start bits net start msiserver
net start wuauserv net start cryptSvc net start bits net start msiserver