The Windows Defender program can both scan and monitor almost the entire folder on a Windows 10 computer. So if you have a folder that may have files that could trigger an alarm to Windows Security, then it would be better if you add an exclusion to Windows Security.
Note that it is okay to do this as long as you’re certain that the contents of the folder you want to exclude are safe and that Windows Defender is only throwing out warnings for nothing. This way, Windows Defender won’t scan those folders in the future. And besides, there are also some Windows folders and files that you may exclude from the Antivirus scans, especially if you want to save your scan time. This kind of feature also comes in handy when you trust a file type or folder or any process that you believe is safe but the Windows Security considers as malicious.
To exclude a folder or a file or process or a file type from the Windows Security scan, here are some steps you can follow. Make sure to do them carefully.
Step 1: Search for “Windows Security” in the Search box and then click on it from the search results to open it.
Step 2: Next, click on Virus & threat protection > Manage settings > Add or remove exclusions.
Step 3: After that, on the next screen, click on Add an exclusion > Folder. It will show you a list that includes File, Folder, File Type, and Process.
Step 4: Now click on “+Add and exclusion” on the next window and then select a folder you want to exclude and click OK to add it in the Exclusions list.
Step 5: Click on the down arrow button to remove it and then click on the Remove button.
Note: If you want to only ignore a few file types, it’s better if you configure your antivirus program to ignore these files with a specific extension. This way, it will ignore all of them no matter what their location is. Also keep in mind that when you select a folder, all the subfolders in it will also be excluded from the scan. Thus, you need to understand what you’re about to do. Once you’re done excluding the folder, it is recommended that you protect the folder using the Controlled Folder Access since this folder is not monitored for threat. The Controlled Folder Access will ensure that an external program does not alter it. This way, you can be sure that even though this folder is not included in the scan, it is still secure.
chkdsk /f /r
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