Windows Terminal is a new free Microsoft terminal sort of application. When you open either Power Shell or Command Prompt in Windows they will be opened in different windows, and if you want several of each you will have several windows of each on your screen.
Windows Terminal fixes this by opening each of the Instances of Command Prompt and Power Shell as separate tabs inside itself making it much easier to manage multiple instances of named applications.
You can also run both Power Shell and Command prompt tabs in the same Windows Terminal. Luckily running command prompt and power shell in different tabs is not the only thing you can do. Windows Terminal lets you choose your own theme, it has emoji support, GPU rendering, split panes, and many more customizable options.
Windows 11 will have Terminal as the default command-line environment for opening Power Shell or Command prompt, even Windows Subsystem for Linux (WSL)
If I was successful I have managed to show you that Windows Terminal is something that you should use even if you do not or cannot upgrade to Windows 11. You can use it inside Windows 10 also.
First thing is to download and install it. You can get Windows Terminal from the official Microsoft website here: Windows Terminal page
After download and installation are completed, open the Terminal app and select the down arrow menu, click Settings. Alternatively, you can use CTRL + + shortcut.
Inside Settings by default Default Terminal application would be set to Windows Console Host
Click on the Default Terminal application to bring a drop-down menu and choose Windows Terminal from the list.
Now by default once opened Windows Terminal will use Power Shell as the default profile, however, you can change this by clicking on the drop-down for the default profile where you can choose between Command Prompt, Power Shell, Windows Power Shell, or Azure Cloud Shell. Pick one that you prefer, click on Save and it will be opened as default on the next run.
/ipk <ProductKey> or /ato [<Activation ID>]
Building your own custom PC system can be one of the greatest things you can do to your budget. Instead of going for a rebuild, we will go into detail about why building your own PC is a much better option. Also, note that if you do not possess enough technical knowledge about a topic there are plenty of stores that will offer you advice on components and after all, you can always get help from a friend.
So without further diversion from the topic, let us explore all the benefits of building a custom computer.
At the first look, this statement does not feel right since when you look at the prebuilt systems you get a feeling that it is much cheaper than do it yourself variant and although CPU and GPU seem like a great deal I beg you to look under the hood on other components. Usually to lower price compromise would be made on other crucial components like SD or power supply, a PC case, or motherboard so even if you have a good CPU and GPU that will not matter much since other components would not be able to catch up with them. After all, prebuild computers will need to pay people who are building them and there is no way that will be cheaper if you just plain went and bought the same components yourself and install them.
When you are in control in choosing each component there is not only being cheaper online, it is flexibility with building itself. You choose which components you want to be stronger and which to be normal. Also, you can choose the exact model of the given component leaving you more in control and open to future upgrades.
Also, it may sound irrelevant but when building your own custom PC you can also choose which company you would like to purchase for each model, yes considering the CPU it is AMD or Intel but when you are buying a case, SSD, GPU, and other components choosing the right company for your needs is also the thing that should not be overlooked.
Not really a quality argument but with a custom PC build, you can choose would you like that RGB component or not, you choose do you like white or black fans, and many more things. You really can place a personal stamp on the computer making it indeed a personal computer.
When you buy an already prebuilt PC, usually it comes with some sort of OS on it, sometimes it is freedos, Linux and sometimes it is Windows Home. When you get your hands dirty you can place whichever system you want on it and install applications that you use and know and some preinstalled typical apps.
PowerShell -Command "Set-ExecutionPolicy -Scope CurrentUser Unrestricted" >> "%TEMP%StartupLog.txt" 2>&1 PowerShell -File "%SystemDrive%ScriptsMapDrives.ps1" >> "%TEMP%StartupLog.txt" 2>&1
-windowsstyle hidden -command .MapDrives.ps1 >> %TEMP%StartupLog.txt 2>&1
bootrec /fixboot
ren BCD BCD.bak
bcdboot c:Windows /l en-us /s b: /f ALL
diskpart
list volume
select volume number
assign letter=<LETTER>Note: Make sure to replace “<LETTER>” with the letter you want to allocate to that partition. Afterward, it will assign a letter to the selected volume.
diskpart
list disk
select disk number
list partition
select partition number
active
wmic baseboard get product,version,serialnumber,product
runas /user:yourdomainadministrator commandThat is all that we have for you today, I certainly hope you have found something useful here and that we have managed to teach you some valuable things.
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