Runtime Error 217 can be a big problem if you use your computer for business purposes and you have confidential data/documents stored on your system.
This runtime error is quite dangerous. It can slow down your PC performance, lead to system failure and crash, make your system vulnerable to hacker’s attack, and also corrupt important files on your system.
There is no one particular cause behind the Runtime Error 217. This error can be attributed to several factors such as:
If you see Runtime Error 217 message pop up on your computer screen, you must fix and repair it right away before it becomes a big threat to you and your PC.
Though Runtime Error 217 is alarming this does not mean that you need to panic. Keep calm and follow the recommended solutions to fix Runtime Error 217 given below.
Regardless of whether you have experienced the Runtime Error 217 on your PC or not, it is advisable to install a powerful antivirus and run it every time you use your PC.
By running it regularly, you can make sure that you are not exposed to viruses, malware, and spyware programs.
Even if your PC gets infected by them, you can delete and remove them timely before the damage is done.
Presented next are essential steps in order to recognize a dying graphic card.
Wondering if upgrading to Windows 11 will boost your gaming experience? We can’t give you a straightforward answer, sadly. But we can take you through the tweaks you can expect if you have all the right requirements and help you make a final decision.
Essentially, the answer to this question is yes. Microsoft has definitely added a bunch of enhancements and features to its latest OS to give gamers the best possible experience. However, you have to keep in mind that this may not work out smoothly for every single user.
Whether you’ll be able to fully take advantage of the Windows 11 gaming features really depends on your setup. As expected, Windows 11 has more demanding system requirements than its predecessor.
So, unless your hardware can run the new OS comfortably, you might not be able to make the most of all these gaming perks. In that case, we recommend you first upgrade your hardware and then make the switch. Be prepared to be a little surprised by a few other interesting changes in comparison to Windows 10, though!
For some of the new gaming features to work, it’ll also be necessary for you to have an NVMe SSD and an HDR-compatible monitor. So let’s take a look at 4 big improvements you can expect if your setup is compatible.
For this powerful feature to work, you need a compatible graphics card and, as stated before, an NVMe SSD. It’s also important for your GPU to support the DirectX 12 graphics API at least. And since we’re on that subject, you’ll be happy to know that Windows 11 has also introduced a new version of the API called DirectX 12 Ultimate.
Now, what does DirectStorage do? It’s a new feature designed to make full use of the speedy storage of NVMe SSDs. It also transfers game data directly onto the graphics card, lightening the load on your CPU. Normally the CPU would have to decompress the data first, but DirectStorage helps bypass this. That’s how loading times are reduced and games run more smoothly.
Windows 11’s Game Mode is certainly a welcomed addition. When you turn on Game Mode, usage of background apps that aren’t essential to your game is reduced. This results in the game you’re running becoming a priority process. This way, it uses your hardware and system resources to the max. Ultimately, the Game Mode means less lag and higher frame rates so you can play undisturbed and fully enjoy your gaming session.
For this one you’ll absolutely need an HDR-compatible monitor. Basically, HDR (High Dynamic Range) means a wider range of contrasts and colors that can be displayed on a monitor.
Windows 10 has an HDR feature, but you have to turn it on and off manually (“Use HDR”). Plus, users have reported that, if left on, it results in an unappealing appearance of content other than movies and games.
Windows 11 fixes that problem with its AutoHDR feature. Toggling it results in the system automatically adjusting the color contrast, balance and brightness based on what you’re currently looking at. For gamers, this means vivid imagery in every single game, resulting in a supreme visual experience. You can check out Microsoft’s own video showcasing the power of AutoHDR.
Aside from AutoHDR, another way Windows 11 improves the visual aspect is through its support for refresh rates of up to 360Hz.
It’s no secret that Microsoft wants to integrate Windows and Xbox. We’ve seen some attempts with Windows 10, but they’re pretty wonky compared to the new OS.
Windows 11’s built-in Xbox Game Bar enables quite a few options all gamers desire. You can take screenshots and videos of your game and send them, for starters. Furthermore, you can use it to see audio settings and monitor your PC’s performance without having to leave the game or open the Task Manager.
Widgets are also a really cool part of the Game Bar. You can choose from a wide variety of widgets, such as Xbox Achievements, Spotify, Gallery, Xbox Social and more.
Moreover, the Xbox Game Pass has been streamlined on Windows 11. Game Pass is a subscription service that unlocks hundreds of awesome games and supports cloud streaming. Do keep in mind that the games are only unlocked for a certain period of time, as the selection rotates once in a while.
Windows 11 does offer tweaks that require zero input from you. However, there are a few things you can do manually to get even more out of your new OS while gaming.
Windows 11 has done quite a bit for avid gamers. We hope your setup is compatible with all these new features and you can experience these enhancements ASAP!
Sometimes, some applications after they are installed will put their shortcut in the context menu (right-click on desktop) for easy access, most of the time these are some system tied applications like AMD and Nvidia control panels or archives like WinRAR or 7ZIP but it can happen even for some usual application to do this.
There are some applications that you use frequently and they could be worth putting in the context menu, if you want to avoid clutter on the desktop or in the taskbar this is the third place that you should consider placing shortcuts.
Doing this will require some playing and tweaking in the Windows registry editor so be careful when editing the registry since bad entries can lead to system crash or instability. Follow step-by-step instructions.
Open the registry editor by searching Regedit and pressing enter than inside of the registry editor search for the next key:
HKEY_CLASSES_ROOT\Directory\Background\shell
Select shell and right-click on it, hover over New and in the submenu click on Key. In the next step, you need to name a key, this name will be the thing that will be shown in the context menu when you right-click on a desktop so type in the name that you would like or the name of the application that you wish to add to the menu.
If you wish you can even add a keyboard shortcut to launch this specific application. To do this select entry that you have created and edit the default value, inside the edit string in the Value data field type first & and after that key that you would like as a shortcut. Now after right click if you hit your shortcut key app will be launched right away.
The next task is to create a command key that will actually hold the command to launch the application. Right-click on the entry that you have created, hover over New, and click on Key.
Next, you’ll need to create the command key that will actually hold the command used to launch the application. Right-click on the new Notepad key, and then choose New \ Key from the menu. Name this key 'command', all in lower case and without hyphens.
Now in order to finish setting the launcher, you need the full path of the file that you would like to run. Locate your file in file explorer or in another tool and copy its path by SHIFT + right-clicking on the file itself and choosing copy as path option.
Now click on the command key and double click on the default key on right to edit it, inside the field value data paste your path to executable. close and save the registry and you are done.
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