* https://gitforwindows.org/ Download this, and accept all of the default settings it offers except for the default editor selection. Once it asks for what the default editor is, most people who are unfamiliar with this should just choose Notepad because everyone has Notepad on Windows.
[https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe](https://repo.anaconda.com/miniconda/Miniconda3-latest-Windows-x86_64.exe) Get this installed so that you have access to the Miniconda3 Prompt Console.
* _(Optional)_ Create a new text file in your root directory `/sygil-webui/custom-conda-path.txt` that contains the path to your relevant Miniconda3, for example `C:\Users\<username>\miniconda3` (replace `<username>` with your own username). This is required if you have more than 1 miniconda installation or are using custom installation location.
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Once a repo has been cloned, updating it is as easy as typing `git pull` inside of Miniconda when in the repo’s topmost directory downloaded by the clone command. Below you can see I used the `cd` command to navigate into that folder.
* Next you are going to want to create a Hugging Face account: [https://huggingface.co/](https://huggingface.co/)
* After you have signed up, and are signed in go to this link and click on Authorize: [https://huggingface.co/CompVis/stable-diffusion-v-1-4-original](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original)
* After you have authorized your account, go to this link to download the model weights for version 1.4 of the model, future versions will be released in the same way, and updating them will be a similar process :
* _(Optional)_ If you already have an environment set up for an installation of Stable Diffusion named ldm open up the `environment.yaml` file in `\sygil-webui\` change the environment name inside of it from `ldm` to `ldo`
* You'll receive warning messages on **GFPGAN**, **RealESRGAN** and **LDSR** but these are optionals and will be further explained below.
* In the meantime, you can now go to your web browser and open the link to [http://localhost:7860/](http://localhost:7860/).
* Enter the text prompt required and click generate.
* You should be able to see progress in your `webui.cmd` window. The [http://localhost:7860/](http://localhost:7860/) will be automatically updated to show the final image once progress reach 100%
* Images created with the web interface will be saved to `\sygil-webui\outputs\` in their respective folders alongside `.yaml` text files with all of the details of your prompts for easy referencing later. Images will also be saved with their seed and numbered so that they can be cross referenced with their `.yaml` files easily.
> The models are placed inside `src` folder. If you don't have `src` folder inside your root directory it means that you haven't installed the dependencies for your environment yet. [Follow this step](#first-run) before proceeding.
1. If you want to use GFPGAN to improve generated faces, you need to install it separately.
2. Download [GFPGANv1.3.pth](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth) and [GFPGANv1.4.pth](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.4/GFPGANv1.4.pth) and put it into the `/sygil-webui/models/gfpgan` directory.
1. Download [RealESRGAN_x4plus.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth) and [RealESRGAN_x4plus_anime_6B.pth](https://github.com/xinntao/Real-ESRGAN/releases/download/v0.2.2.4/RealESRGAN_x4plus_anime_6B.pth).
5._(Optional)_ If there are no files there, you can manually download **LDSR** [project.yaml](https://heibox.uni-heidelberg.de/f/31a76b13ea27482981b4/?dl=1) and [model last.cpkt](https://heibox.uni-heidelberg.de/f/578df07c8fc04ffbadf3/?dl=1).
