Recently, a number of users reported getting an error code 0x8007025D-0x2000C while updating their Windows 10 computers using an ISO or the Media Creation tool. You will also see a detailed error message saying, “The installation failed in the SAFE_OS phase with an error during APPLY_IMAGE operation” together with the error code 0x8007025D-0x2000C.
This kind of issue usually occurs when there is some problem with the installation files and when Windows Update fails to apply upgrade using the Media Creation Tool or ISO. To resolve this issue, you can use the troubleshooting options given below as a reference.
Recreating the Windows 10 installation USB might help in fixing the problem. You can use a USB drive to do so but make sure that it has a great read-write speed. Follow the steps below to recreate Windows 10 installation USB”
You might also want to run the Windows Update Troubleshooter as it could also help in fixing Windows Update error code 0x8007025D-0x2000C. To run it, go to Settings and then select Troubleshoot from the options. From there, click on Windows Update and then click the “Run the troubleshooter” button. After that, follow the next on-screen instructions and you should be good to go.
Take note that you have to be careful when modifying something in the BIOS. So if you don’t know much about it, it’s best if you skip on this option and try the other ones instead. However, if you are well-versed in navigating the BIOS, then follow the steps below.
The Background Intelligent Transfer Service or BITS is a part of the Windows Update service and is the one that manages the background download of Windows Update, as well as scans for new updates and so on. And if Windows Update is experiencing some problems, you can try restarting BITS but make sure that you have admin privileges to do so.
There are times when the issue is from Microsoft’s end. It could be that there’s some issue with Microsoft’s server so it would be better if you give it a couple of minutes or an hour or so before trying to run Windows Update again.
“Something went wrong, try rebooting your PC and then launch GeForce Experience, ERROR CODE: 0x0001.”Errors like this one diminish the overall experience of users due to the fact that when this error occurs, the NVIDIA GeForce experience wouldn’t even start which renders its features useless. There are several potential fixes you can check out to resolve this error but before you check them out, you can try to restart your computer first and then open the NVIDIA GeForce Experience once again, if you still encounter the error, then you need to check the NVIDIA Display Driver Services or update your NVIDIA display drivers or switch to the BETA release. You could also try to install and reinstall the NVIDIA display drivers or perform System Restore and see if it helps. For detailed instructions, follow the given options below.
To enable the camera device, run the command below in PowerShell:$id = (Get-CimInstance Win32_PnPEntity | where caption -match '<PRIMARY CAMERA>').pnpDeviceID $ppid = "{0}{1}" -f '@',$id Set-Location c:\<FOLDER> Devcon status $ppid Devcon disable $ppid Devcon status $ppid
devcon enable $ppid
SafeSearch is an ad-supported, cross web browser plugin for Internet Explorer and Firefox/Chrome. The browser extension will modify the default or custom settings of the browser including the home page, search settings, and in some cases will modify Internet Explorer’s load time threshold, place a lock file within Firefox to prevent changing settings as well as disable the browser’s Content Security Policy in order to allow for cross-site scripting of the plugin. For these reasons, it has been classified as a browser hijacker.
From the publisher: SafeSearch created by AVSoftware is the unique search engine that filters malicious sites or sites with bad reputations. Every website is weighted on several critical factors – vendor reliability, child safety, privacy issues, user opinions, and ratings.
SafeSearch has been found to be bundled with 3rd party software and malware and therefore is not recommended to keep on your computer.
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