If you connected your Hard Disk, USB, or SD card to your Windows 10 computer and you suddenly encounter an error that says, “Windows was unable to repair the drive”, read on as this post will help you fix the problem. This kind of error indicates that the file system on the drive has become corrupted and that ChkDsk was not able to repair the problem. You can also encounter this error when you try to run the ChkDsk utility to repair the system.
This kind of error is most likely due to the general corruption of the contents in the drive. It is also possible that you removed the external drive without using the “Safely remove hardware” option or it could be that the drive is still in use. To fix the problem, the obvious thing to do is to safely remove the external drive by using the “Safely remove hardware” option. If it didn’t work, you can try to run the CHKDSK utility from the command line or you could also restart your computer in a Clean Boot State and then run the scan. Before you proceed with the potential fixes provided below, make sure that you create a system restore point first or you could also create a backup copy of the data to an external drive.
Although some users reported getting the “Windows was unable to repair the drive” when they run a CHKDSK scan, other users reported that running it also fixed the error. Thus, you can try to run it and see if it works or not.
There are some instances that some conflicting programs installed in your computer might be the one that triggers the “Windows was unable to repair the drive” error to appear when you connect your external drive or run the CHKDSK utility. To identify which program is causing the problem, you need to put your computer in a Clean Boot State. 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
“0x80242006, WU_E_UH_INVALIDMETADATA. A handler operation could not be completed because the update contains invalid metadata.”Here are some troubleshooting tips you can try to fix Windows Update Error 0x80242006.
Dism /Online /Cleanup-Image /CheckHealth Dism /Online /Cleanup-Image /ScanHealth Dism /Online /Cleanup-Image /RestoreHealthalso
“Sending reported error (0×80042109): Outlook cannot connect to your outgoing (SMTP) e-mail server.”
“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.