The Windows 10 Orange Screen of Death, unlike Blue Screen of Errors, is quite an uncommon error where the hardware is the culprit which is mostly caused by some issues with the GPU. If you are currently facing this problem, then you’ve come to the right place as this post will guide you on what you can do to fix it.
There have been reports from users that the Orange Screen of Death is caused by various reasons. Some users reported that they encountered Orange Screen of Death when they were watching a YouTube video, while some were not able to boot into their Windows 10 PCs and encountered an error instead of that either says, FAULTY_HARDWARE_CORRUPTED_PAGE or WHEA_UNCORRECTABLE_ERROR error. In addition, this error can also occur when your computer wakes up from Sleep or while using BitLocker, or while you use a second monitor. Whatever the case is, you can try updating your drivers or lower the clock speed of the GPU. You could also try to fix the DRIVER_IRQL issue in case it’s the one that triggers the error or performs Automatic Repair or uninstalls any recently installed software.
One of the possible reasons why you’re getting the Orange Screen of Death error is most likely related to the Graphics card drivers in your computer. Thus, the first thing you can do to resolve it is to update these drivers by following these steps:
Note: You also have the option to go directly to the website of your graphics card manufacturers like NVIDIA, Intel, or AMD and go to the section called Drivers then check if there’s a new available update – if there is, download and install it.
If you have installed a software or two recently and then suddenly encounter this Orange Screen of Death, then they are most likely the culprits. The best thing you can do is to first check the System Log in the Event Viewer for any additional information in case it’s not the GPU but some other driver or device that’s causing the error. Once you have identified the culprits, uninstall them and see if the error is fixed.
If overclocking is enabled, you might have to disable it as some users reported that the WHEA_UNCORRECTABLE_ERROR 0x00000124 error started to appear right after overclocking. To disable it, follow the steps below.
The Driver Verifier Manager is another tool in Windows that could help you fix driver-related issues. And so if you want to fix the Wdf01000.sys Blue Screen error, you need to use the Driver Verifier Manager:
You might also want to use Automatic Repair in fixing the error. To do so, follow the steps below.

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
chkdsk /r /f
Windows 7 features Troubleshooting Wizard, an automated tool that helps users resolve several PC-related problems such as accessing shared files or internet connectivity to name a few.‘An unexpected error has occurred’- The troubleshooting wizard can’t continue
Error code: 0x80131700'
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Error Causes“Error in loading dll” “Object library not registered”
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