Although the Google Chrome browser is one of the most used browsers, a lot of things could still go wrong when browsing the web using it. One of the errors you might encounter is the “ NETWORK_FAILED ” error. This kind of error in Chrome indicates that Chrome wasn’t able to send your request through the network connection. It could be that your computer has trouble connecting to a stable internet connection or there is some plugin in your Chrome browser that is causing the issue. The worst-case would be malware. But worry not for this post will guide you on what you can do when you encounter the NETWORK_FAILED error in Google Chrome. Make sure to follow each one of the options given below and see which one of them worked best for you.
As you know, browser extensions help in enhancing the browsing experience but there are also times when it does exactly the opposite, and such is the case with the NETWORK_FAILED error in Chrome. It could be that one of the extensions in your browser is the one that’s causing the trouble. To disable or remove these unwanted extensions, here’s what you have to do:
If removing or disabling the unwanted extension didn’t help in fixing the error, you can try using the built-in malware scanner and cleanup tool in Google Chrome. These tools help you get rid of any unwanted pop-ups, ads, unusual Startup pages, toolbars, and even malware.
If you are using a proxy, you might want to consider disabling it as it could have something to do with the NETWORK_FAILED error.
After you key in the commands listed above, the DNS cache will be flushed and the Winsock, as well as the TCP/IP, will reset.
Deleting the WLAN Profiles might be a good idea if you are not able to connect to the internet on your computer and if you’re using Wi-Fi. It could be that the networks that were connected previously have gone rogue which is why it is not connecting properly. And so deleting the WLAN profiles would be for the best.
That should do it.

DISM.exe /Online /Cleanup-Image /RestoreHealth /Source:C:RepairSourceWindows /LimitAccess
net stop wuauserv net start cryptSvc net start bits net start msiserver
net start wuauserv net start cryptSvc net start bits net start msiserver
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.
Error CausesGet-AppXPackage -AllUsers -Name Microsoft.MicrosoftEdge | Foreach {Add-AppxPackage -DisableDevelopmentMode -Register “$($_.InstallLocation)AppXManifest.xml” -Verbose}
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.
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
Coming in October for insiders and in November for all in the update, Microsoft has prepared a series of updates which they call an "additional set of experiences"
These updates are looked upon by Panos Panay, a vice executive president at Microsoft & chief product officer for Windows and devices as sort of makeup tests. They will consist of new additions with the biggest one being a tabbed version of File Explorer.

File Explorer received a UI makeover in the last update but the tabbed interface was missing which was expected by many users so it will come in following the next update.
The rest of the features that we will receive are an updated Photos application, Suggested Actions in the Windows Shell, Overflow menu for the taskbar, and improved Nearby Share.
The tabbed File Explorer interface is essentially File Explorer’s version of Sets, the tabbed window interface that Microsoft tested out several years ago. In testing, the tabbed interface proved handy for moving and copying files, and we’d expect the same once the feature formally goes live. The difference between Sets and the tabbed File Explorer interface is Sets allowed for multiple applications to be clustered together via tabs.
Photos app will include a “new photos-managing experience that brings a gorgeous gallery, simplifying browsing, finding, management and consumption of your collection of photos.” It will allow “easy backup to OneDrive” and a “delightful Memories experience.”
As for other features, nothing specifically was said except giving just some tips on what will they bring, it is obvious that File Explorer and the photos app were the main focus for MS in this upcoming update.
“Close other apps. It looks as though another app is already using the camera. If you need it, here’s the error code: 0xA00F4243 (0xC00D3704)”To fix the error code: 0xA00F4243 (0xC00D3704) in the Camera UWP app, you can try to run the Windows Store Apps troubleshooter or reset the Camera app or update or reinstall the driver or apply some tweaks in the Registry Editor. In addition, you can also try checking the Windows Services or run the System File Checker.
Error Causes