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Updated Installation (markdown)
ZeroCool
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[To install on Linux, see this page.](https://github.com/sd-webui/stable-diffusion-webui/wiki/Linux-Automated-Setup-Guide)
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[To install on Colab, see Altryne's notebook.](https://github.com/altryne/sd-webui-colab)**
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# Windows - step by step Installation guide
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# Windows - step by step Installation guide
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# Initial Setup
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# Initial Setup
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## Pre requisites
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* 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.
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* Download Miniconda3:
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[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.
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[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.
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* Open Miniconda3 Prompt from your start menu after it has been installed
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@ -31,38 +32,44 @@ This will create the `stable-diffusion-webui` directory in your Windows user fol
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---
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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.
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* Next you are going to want to create a Hugging Face account: [https://huggingface.co/](https://huggingface.co/)
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* 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)
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* 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 :
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[https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt)
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[https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original/resolve/main/sd-v1-4.ckpt)
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* Download the model into this directory: `C:\Users\<username>\stable-diffusion-webui\models\ldm\stable-diffusion-v1`
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* Rename `sd-v1-4.ckpt` to `model.ckpt` once it is inside the stable-diffusion-v1 folder.
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* Since we are already in our stable-diffusion-webui folder in Miniconda, our next step is to create the environment Stable Diffusion needs to work.
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* _(Optional)_ If you already have an environment set up for an installation of Stable Diffusion named ldm open up the `environment.yaml` file in `\stable-diffusion-webui\` change the environment name inside of it from `ldm` to `ldo`
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---
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## Running webui,cmd for the first time
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## Running webui,cmd for the first time
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* `webui.cmd` at the root folder (`\stable-diffusion-webui\`) is your main script that you'll always run. It has the functions to automatically do the followings:
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* Create conda env
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* Install and update requirements
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* Run the relauncher and webui.py script for gradio UI options
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* Create conda env
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* Install and update requirements
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* Run the relauncher and webui.py script for gradio UI options
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* Run `webui.cmd` by double clicking the file.
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* Wait for it to process, this could take some time. Eventually it’ll look like this:
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* You'll receive warning messages on **GFPGAN**, **RealESRGAN** and **LDSR** but these are optionals and will be further explained below.
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@ -77,29 +84,29 @@ Once a repo has been cloned, updating it is as easy as typing `git pull` inside
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---
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### Optional additional models
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### Optional additional models
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There are three more models that we need to download in order to get the most out of the functionality offered by sd-webui.
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### GFPGAN
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1. If you want to use GFPGAN to improve generated faces, you need to install it separately.
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2. Download [GFPGANv1.3.pth](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth) and put it
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into the `/stable-diffusion-webui/src/gfpgan/experiments/pretrained_models` directory.
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1. Download [GFPGANv1.3.pth](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth) and put it
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into the `/stable-diffusion-webui/src/gfpgan/experiments/pretrained_models` directory.
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### RealESRGAN
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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).
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2. Put them into the `stable-diffusion-webui/src/realesrgan/experiments/pretrained_models` directory.
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1. Put them into the `stable-diffusion-webui/src/realesrgan/experiments/pretrained_models` directory.
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### LDSR
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1. Detailed instructions [here](https://github.com/Hafiidz/latent-diffusion). Brief instruction as follows.
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1. Git clone [Hafiidz/latent-diffusion](https://github.com/Hafiidz/latent-diffusion) into your `/stable-diffusion-webui/src/` folder.
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1. Run `/stable-diffusion-webui/src/latent-diffusion/download_model.bat` to automatically download and rename the models.
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1. Wait until it is done and you can confirm by confirming two new files in `stable-diffusion-webui/src/latent-diffusion/experiments/pretrained_models/`
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1. _(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).
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1. Rename last.ckpt to model.ckpt and place both under `stable-diffusion-webui/src/latent-diffusion/experiments/pretrained_models/`.
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1. Refer to [here](https://github.com/sd-webui/stable-diffusion-webui/issues/488) for any issue.
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1. Git clone [devilismyfriend/latent-diffusion](https://github.com/devilismyfriend/latent-diffusion) into your `/stable-diffusion-webui/src/` folder.
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2. 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).
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3. Rename last.ckpt to model.ckpt and place both under `stable-diffusion-webui/src/latent-diffusion/experiments/pretrained_models/`.
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4. Refer to [here](https://github.com/sd-webui/stable-diffusion-webui/issues/488) for any issue.
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# Credits
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> Big thanks to Arkitecc#0339 from the Stable Diffusion discord for the original guide (support them [here](https://ko-fi.com/arkitecc)).
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> Modified by [Hafiidz](https://github.com/Hafiidz) with helps from sd-webui discord and team.
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