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If you got encounter an error message saying, “Error opening file for writing” while running a setup file to install some program on your computer, read on as this post will give you some suggestions on how you can fix it. You can encounter this error when running a setup file for installing a program like GlassWire, Notepad++, VLC, Steam, OBS, Mod Organizer, WinpCap, NSIS, FileZilla, BSPlayer, Kodi, Wireshark, rtcore64, qt5core.dll, MSI Afterburner, GWCtlSrv.exe, npf.sys, vcredist_86 and many more. And so when this error pops up while you run a setup file, refer to the steps given below which might help resolve the problem.
Step 1: First, you have to make sure that there is no other installation in progress as multiple installations can most likely cause this error to show up. You can restart your computer and try to run the setup file again.
Step 2: If you still got the error even after your restart your computer, click on Retry to try again and if it does nothing, click Abort to terminate the installation. After that, go to the folder where you’ve placed the setup file and then delete it.
Step 3: Make sure that you have enough disk space on your computer. You can use the Windows 10 Storage Sense feature which can clean all the temporary files from your computer and help you save storage space. To use Storage Sense, follow the steps below.
Note: Once you’re done freeing up space on your drive, try to run the setup file again.
Step 4: If freeing up space didn’t help, you can just delete the setup file and download another one from the official homepage of the program. From there download the setup file and place it in a different location. After that, run the setup file once again.
Step 5: Make sure that you have downloaded the correct setup file according to your operating system, i.e. x64 or x86.
Step 6: Restart your computer once more and make sure that you sign in as administrator. After that, right-click on the setup file and click “Run as administrator”.
If it still didn’t help, you might want to take ownership of the folder where you saved the setup file. How? Follow the steps below but before you do that, you have to create a System Restore Point first, once that’s done, proceed.
HKEY_LOCAL_MACHINESOFTWAREPoliciesMicrosoftBiometricsCredential Provider
Computer Configuration > Administrative Templates > Windows Components > Biometrics
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