
- Press ⊞ WINDOWS + I to open settings
- Click on Personalization
- On the right side scroll down and click on Start
- Click on the switch beside Show recently opened items in Start, Jump lists, and File Explorer
- Close settings
USB Kill, a USB device is able to fry and damage your computer, mobile phone, router, etc. This device is quite dangerous and can kill electronics the moment it is inserted into an available port. By now people should know that they should not put unknown USB sticks into their devices because of potential virus and malware threats but this raises using unknown sticks to a whole new level.
Kill kits are not really new to the market, they have existed before but lately, technology really progressed and the latest USB sticks are really good, their success rate is around 95% which is pretty high and should not be taken lightly.
The second thing that you really should not play with strange USB sticks is that they dropped in price really hard, although top Kill kits will still go as high as around 300 USD, there are really cheap ones lurking in Ali Express that are just 6 USD!!! that makes them affordable devices for the mass market.
The device is made to take energy and current from the port it is plugged in, multiply it and release its charge back into the device, successfully frying some components immediately. Some more professional Kill sticks can even fry devices even when the device itself is not powered and can be even started remotely.
The point of this article is to make you aware that you should not in any kind of circumstances use and plug-in USB sticks into your devices that you do not know where they come from, especially from the mail!!
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
mixGames is an Extension for Google Chrome that adds “Games:” functions to Google Chrome. In our testing, this function did not work and only redirects you back to the extension page. There are two variations of mixGames: mixGames Search, which changes the Chrome homepage to one managed by their own advertising-driven search; and mixGames Start, which changes the homepage in Chrome. These extensions utilize Searchalo to change search engine functions from the default or user-set preferences to Yahoo, injecting additional advertising. Due to the browser function modifications, mixGames is classified as potentially unwanted and is flagged for detection and optional removal by some Antivirus programs.
chkdsk C: /f /x /rNote: “C” is the drive root drive so it could be changed if you’re using a different one.
“Failed to transfer logged messages to the log event with status 50.”According to security experts, this error is most likely due to the hard drive or RAM being in a “Read-only” state. It could also be due to some physical issues with the hard drive. On the other hand, it could be that the system is prevented from creating logs by some drive, service, or malware. To fix this error, you have to check if the hard disk is writable. You could also try to run the CHKDSK utility in Safe Mode or you could also check the physical status of your hard disk or external drive.