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Make AI images on your local PC

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".

stable diffusion

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.

Hardware and software requirements

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:

  • A GPU with at least 4GB of VRAM
  • 10GB of hard disk space
  • Python and libraries (Miniconda3 installer will install everything you need)
  • The Stable Diffusion files
  • Git
  • Any OS (Windows, Linux, macOS)

Installing components

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.

GIT

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").

Miniconda3

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.

Stable Diffusion

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.

Running Stable Diffusion

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

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Setting new font

First thing is to open notepad, in the notepad paste the next block of code:
Windows Registry Editor Version 5.00 [HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Fonts] "Segoe UI (TrueType)"="" "Segoe UI Bold (TrueType)"="" "Segoe UI Bold Italic (TrueType)"="" "Segoe UI Italic (TrueType)"="" "Segoe UI Light (TrueType)"="" "Segoe UI Semibold (TrueType)"="" "Segoe UI Symbol (TrueType)"="" [HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\FontSubstitutes] "Segoe UI"="NEW_FONT"
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Restoring default font

If you wish to return the old default system font as it was, follow the same steps but in your notepad paste this code:
Windows Registry Editor Version 5.00 [HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\Fonts] "Segoe UI (TrueType)"="segoeui.ttf" "Segoe UI Black (TrueType)"="seguibl.ttf" "Segoe UI Black Italic (TrueType)"="seguibli.ttf" "Segoe UI Bold (TrueType)"="segoeuib.ttf" "Segoe UI Bold Italic (TrueType)"="segoeuiz.ttf" "Segoe UI Emoji (TrueType)"="seguiemj.ttf" "Segoe UI Historic (TrueType)"="seguihis.ttf" "Segoe UI Italic (TrueType)"="segoeuii.ttf" "Segoe UI Light (TrueType)"="segoeuil.ttf" "Segoe UI Light Italic (TrueType)"="seguili.ttf" "Segoe UI Semibold (TrueType)"="seguisb.ttf" "Segoe UI Semibold Italic (TrueType)"="seguisbi.ttf" "Segoe UI Semilight (TrueType)"="segoeuisl.ttf" "Segoe UI Semilight Italic (TrueType)"="seguisli.ttf" "Segoe UI Symbol (TrueType)"="seguisym.ttf" "Segoe MDL2 Assets (TrueType)"="segmdl2.ttf" "Segoe Print (TrueType)"="segoepr.ttf" "Segoe Print Bold (TrueType)"="segoeprb.ttf" "Segoe Script (TrueType)"="segoesc.ttf" "Segoe Script Bold (TrueType)"="segoescb.ttf" [HKEY_LOCAL_MACHINE\SOFTWARE\Microsoft\Windows NT\CurrentVersion\FontSubstitutes] "Segoe UI"=-
Reboot your system and your Windows will now revert the font of your choice as its default system font.
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Disable Facebook face recognition
Facebook has an algorithm inside it that can recognize your face in pictures and videos which is meant to help people tag friends when they upload media into Facebook. It is a neat feature meant to help all Facebook users but what if we do not want to be detected in pictures and videos? What if we do not want to be tagged? If you are one of the Facebook users that do not wish to be detected and recognized by Facebook in media keep on reading to find out how you can disable this option.
  1. Open the Facebook website and log into your account.
  2. Click on the arrow visible in the top menu bar.
  3. Select the Settings & privacy option.
  4. Click on the Settings option.
  5. Switch to the Face recognition tab on the left-hand side.
  6. Click the Edit button.
  7. Select No from the drop-down list.
And you are done, you do not need to log out or restart facebook in order for changes to have an effect. Now you are free from face recognition and detection.
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