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This guide aims to provide general information.
DISCLAIMER: Please be aware that the following guide is still advanced and technical. It might not really deal with all attainable problems or conditions, which can lead to frustration and wasted time. It’s vital to proceed with caution and have a good understanding of the subject matter before attempting the report.
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- 0. Introduction
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- 1. Installation
- 1. Stable Diffusion Portable
- 1. Installing AUTOMATIC1111 Webui
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- 1.2. Automatic Installation
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- 1.1. Install the dependencies
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- 1.2. Install A1111
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- 1.1. Requirements
- 1.2. Hyper-V File Sharing
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- 1.3. Installation
- 1.4. Installing Docker Container of the Webui
- 1.5. Open Command Prompt (CMD) or Powershell
- 4.1. Embeddings
- 4.2. Lora
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- 13.1. Upscaling
- 13.2. Docker Desktop
- 13.3. Docker Internal
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14. Bugs
- 14.1. Cannot add middleware after an application has started
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- 14.2. Clicking ‘generate’ loads additional model / Checkpoint b3f1532ba0 not found; loading fallback
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- 14.3. Inpainting doesn’t work, weird results / output
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0. Introduction
This guide will provide steps to install AUTOMATIC1111’s Webui several ways.
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After the guide, you should be able to go from the left image, to the right,
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Recommended Requirements:
Windows 10/11, 32 GB of RAM and a Nvidia graphics card with at least 4-6 GB VRAM (not tested by me, but reported to work), but the more the better. Glass windows 10 (64-bit): Home or Pro 21H1 (build 19043) or higher. Windows 11 (64 little): Home or Pro version 21H2 or higher.
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For AMD GPU cards check out https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs
Non-GPU (not tested, proceed at own risk auseChamp: )
It does work without a Nvidia graphics card (GPU), but when using only the Central processing unit it shall carry 10 to 25 mins PER Photograph, whereas with a good GPU it will get 10 - 30 a few seconds per picture. (images with a resolution of < 1024px, for larger pictures, it takes longer)
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I’ve chosen to use docker, since this will make it far easier to install the webui and minimal fiddling in the command prompt.
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Check the file for downloading.
1. Installation
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Spoiler: (Windows) Install it natively, the lazy version (not tested)
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1. Stable Diffusion Portable
- Download Stable Diffusion Portable
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- Unzip the stable-diffusion-portable-main folder anywhere you want (Root directory preferred)
Example: D:stable-diffusion-portable-main
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- Run webui-user-first-run.cmd and wait for a couple seconds (installs specific components, etc)
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- It will automatically launch the webui, but since you don’t have any models, it’s not very useful. Follow the guide further.
- To relaunch the webui in the project root, run webui-user.bat
Spoiler: (Windows) Install the native way (bit technical, not tested)
1. Installing AUTOMATIC1111 Webui
This is the same guide as on the AUTOMATIC1111 git repo.
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1.2. Automatic Installation
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1. Install Python 3.10.6, checking “Add Python to PATHâ€
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2. Install git.
3. Download the stable-diffusion-webui repository, for example by running (in CMD or Powershell)
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git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
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4. Or you can download by going to https://github.com/AUTOMATIC1111/stable-diffusion-webui , clicking “Code†and then “Download ZIPâ€
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5. Run webui-user.bat from Windows Explorer as normal, non-administrator user.
Spoiler: (Linux) Install the native way for the Linux-heads
1. Automatic Installation on Linux
1.1. Install the dependencies
1.2. Install A1111
To install in /home/$(whoami)/stable-diffusion-webui/, run:
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Run webui.sh
Spoiler: (Windows) Install via Docker
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1. Installing Docker Desktop
1.1. Requirements
Windows 11 (64 bit): Home or Pro version 21H2 or higher.
Windows 10 (64-bit): Home or Pro 21H1 (build 19043) or higher.
Docker Desktop requires one of the following,
- Enable Hyper-V (Windows Pro) [EASY]
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- Enable Hyper-V (Windows Home) - not tested [MEDIUM?]
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Guide is available at
https://www.itechtics.com/enable-hyper-v-windows-10-home/
- Install WSL 2 [ADVANCED] - Better performance
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This requires several steps, available at https://learn.microsoft.com/en-us/windows/wsl/install
1.2. Hyper-V File Sharing
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When using Hyper-V, you need to enable File Sharing in Docker Desktop > Settings > Resources > File Sharing.
The File sharing tab is only available in Hyper-V mode because the files are automatically shared in WSL 2 mode and Windows container mode.
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1.3. Installation
Go to https://docs.docker.com/desktop/install/windows-install/ , after that download and work the installer.
1.4. Installing Docker Container of the Webui
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Go to https://github.com/AbdBarho/stable-diffusion-webui-docker/releases , download the latest source code release (ZIP) under Assets.
Unzip it somewhere.
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1.5. Open Command Prompt (CMD) or Powershell
Go to the directory where you unzipped the archive, and run
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this will download 12GB of pretrained models. Wait until it is finished, then
More details are available on the project’s wiki: https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/Setup
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https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/Setup
Spoiler: (Mac) Install it natively (not tested)
Source: https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon
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1. If Homebrew is not installed, follow the instructions at https://brew.sh to install it. Keep the terminal window open and follow the instructions under “Next steps†to add Homebrew to your PATH.
2. Open a new terminal window and run brew install cmake protobuf rust [email protected] git wget
3. Clone the web UI repository by running git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui
4. Place Stable Diffusion models/checkpoints you want to use into stable-diffusion-webui/models/Stable-diffusion. If you don’t have any, see Downloading Stable Diffusion Models below.
5. cd stable-diffusion-webui and then ./webui.sh to run the web UI. A Python virtual environment will be created and activated using venv and any remaining missing dependencies will become automatically downloaded and installed.
6. To relaunch the web UI process later, run ./websiteui.sh agamy partner and in. Note that it doesn’t auto update the web UI; to update, work git move before working ./webui.sh.
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2. The WEBUI!
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Wait until you see
Code:
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Then go to http://localhost:7860/ in any browser.
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You should see something similar to this:
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The ‘hardest’ part should be done.
3. Inpainting model for nudes
Download one of the following for ‘Nudifying’,
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- Realistic Vision InPainting
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Go to https://civitai.com/models/4201/realistic-vision-v13 (account required) and under Versions, select the inpainting model (v13), then at the right, download “Pruned Magic size SafeTensor†and “Configâ€.
Save them to the “data/StableDiffusion†folder in the Webui docker project you unzipped earlier. The model file should be called realisticVisionV13_v13-inpainting.safetensors and the config file should be named realisticVisionV13_v13-inpainting.yaml
- Uber Realistic Porn Merge
Go to https://civitai.com/models/2661/uber-realistic-porn-merge-urpm (account required) and under Versions, click on ‘URPMv1.2-inpainting‘, then at the right, download “Pruned Model SafeTensor†and “Configâ€.
Save them to the “data/StableDiffusion†folder in the Webui docker project you unzipped earlier. The model file should be called uberRealisticPornMerge_urpmv12-inpainting.safetensors and the config file should be named uberRealisticPornMerge_urpmv12-inpainting.yaml
4. Embeddings / Lora
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4.1. Embeddings
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Add the following files in the ‘data/embeddings’
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Check My textual Inversions, under same names.
Allow you to add ‘breasts’, ‘small_tits’ and ‘Style-Unshaved’ in your prompt, and provide better quality chests / vaginas. The first one is more generalized, the latter will be well.. yes.
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Check the Discord link in the ‘Additional Tips’, ppl post additional embeddings on there.
4.2. Lora
I have not tested all of these, so not sure if they work in combination with inpainting.
Add any of the following in ‘data/Lora’. (CivitAI account required for NSFW)
- Breast Helper
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- Uber Realistic Booty & Vag
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- AIroticArt’s Vulva Model
- Real Refined Pussy
- Innies: Better vulva
- breastInClass: Better Bodies
- Realistic Vaginas - God Pussy 1
- Realistic Vaginas - God Pussy 2 (Innie)
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To include Lora models click on the following icon at the right side, under the “Generate†button.
This will show an extra panel at the left, including a “Lora†tab. You can go it to the back again or leading of the fast to offer it even more ‘concentrate’, and you can also increase/decrease the number at the end “<..:1)†to give it more (e.g. 1.5) or less (e.g. 0.5) focus. Clicking on any of the Lora’s you have will add them to the prompt.
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5. Loading Model
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In the webui, at the top left, “Stable Diffusion checkpointâ€, hit the ‘Refresh’ icon.
Now you should see the uberRealisticPornMerge_urpmv12 model in the list, select it.
6. Model Parameters
Go to the ‘img2img’ tab, and then the ‘Inpaint’ tab.
In the first textarea (positive prompt), enter
RAW photo of a nude woman, naked
In the second textarea (negative prompt), enter
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((clothing), (monochrome:1.3), (deformed, distorted, disfigured:1.3), (hair), jeans, tattoo, wet, water, clothing, shadow, 3d render, cartoon, ((blurry)), duplicate, ((repeat body parts)), (disfigured), (poorly drawn), ((missing limbs)), logo, signature, text, words, low res, boring, artifacts, bad art, gross, ugly, poor quality, low quality, drawn poorly, bad anatomy, wrong anatomy
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If not otherwise mentioned, leave default,
Masked content: fill (will just load in the area without taking in to consideration the original masked ‘written content’, but play around with others too)
Inpaint area: Only masked
Sampling method: DPM++ SDE Karras (one of the better methods that takes care of using similar skin colors for masked area, etc)
Sampling steps: start with 20, rise to 50 for far better high quality/effects when needed in that case. But the higher, the longer it takes. I possess excellent benefits with 20 usually, but it all depends on the complexity of the source image and the masked area.
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CFG Scale: 7 - 12 (mostly 7)
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Denoise Strength: 0.75 (default, the lower you set this, the more it will look like the original masked area)
These are just recommendations / what works for me, experiment / test out yourself to see what works for you.
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Tips:
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- EXPERIMENT: don’t take this guide word-by-word.. try stuff
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- Masked contentoptions:
- Fill: will fill in based on the prompt without looking at the masked area
- Original: will use the masked area to make a guess to what the disguised content should include. This can turn out to be beneficial in some conditions to maintain entire body form, but will more easily take over the clothes
- Latent Noise: will generate new noise based on the masked content
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- Latent Nothing: will generate no initial noise
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Denoising strength: the lower the closer to the original image, the higher the more “freedom†you give to the generator
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Use a higher batch count to generate more images in one setting
Change masked padding, pixels this will include fewer/more pixels (e.g. at the edges), so the model will learn how to “fix†inconsistencies at the edges.
7. Images
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Stable Diffusion models work best with images with a certain resolution, so it’s best to crop your images to the smallest possible area.
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You can use any photo manipulation software, or use https://www.birme.net/
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Open your preferred image in the left area.
8. Masking
Now it’s time to mask / paint over all the areas you want to ‘regenerate’, so start painting over all clothing. You can shift the measurement of the put at the proper of the photo.
I’ve experienced that painting a little bit outside the ‘lines / borders’ is the best for the model, else you will get vwill beible remnants / distortions at the edges of the mask in the generated image.
Tips / Issues:
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- Mask more, go outside of the edges of the clothes. If you only mask clothes, the generator doesn’t know about any skin colors, so it’s best you include parts of the unclothed body (e.g.. neck, belly, etc).
- And sometimes: you forgot to mask some (tiny) area of the clothes.. this is esp. difficult to find with clothes that are dark. But look at the “in progress†images that are generated during the process.. you should see where it is normally.
9. Inpainting, finally!
Hit generate. Inspect image, and if needed, retry.
10. Optimizations
When the model is generating weird or unwanted things, add them to the ‘Negative Prompt’. I’ve added some already, like hair, water, etc. In some circumstances you want to put ‘hands’, since Steady Diffusion will be pretty negative at producing fingertips.
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Sometimes it’s needed to add extra words to the (positive) prompt, i.e. sitting, standing, ..
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11. Caveats
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I’ll try to answer any questions regarding this guide you may have, but I’m no expert.
If you hit an error, or have a problem, add a comment. It should provide detailed problems. And don’t forget to add a screenshot to the ouput of the docker container.
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Whenever you see ‘OOM (Out of Memory)’ in the docker container output, it most of the time means that you do not have enough (graphics) VRAM to run it.
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I don’t have a lot of data, so if it works for you with less than 6 GB (graphics) VRAM, let us know in the comments.
This guide is written in a short time, hence it almost certainly demands quite a few up-dates.
12. Additional Tips
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- You should be able to use ‘Docker Desktop’ to start and stop the container from now on. When not in use, it’s best to stop the container, since it keeps a ‘hold’ on a lot of RAM and (graphics) VRAM.
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- If you see double body parts below each other, your impression is definitely as well large. The Steady Diffusion version was basically educated on photos with a image resolution of 512×512 first, so in specific cases (large images) it needs to “split†the pictures up, and that leads to the burning in the end result.
- Also check that the width & height in the model parameters are close / equal to that of the source image, or leave it at the default: 512×512.
- If you get error “height and width must be > 0â€, transform the width and height in magic size details to 512 and attempt once more.
- Keep an eye on your RAM usage, depending in the amount, it’s possible you will run out of Ram memory, and House windows will most likely receive incredibly time-consuming since it wants to exchange frequently.
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- More parameter tweaks can be found in this guide (external): https://mrdeepfakes.com/forums/thre…f-inpainting-tutorial-sorta.11618/#post-54511
- Now that you have this installed, also check out the ‘text to image’ and prompting guide by dkdoc at https://simpcity.su/threads/overall-basic-guide-to-using-stable-diffusion-webui.137162/
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- This guide is just a quick & dirty way to get you started, try to change settings, experiment!
- To further level up your skillset, join the ‘SD: Modelers’ Discord at https://discord.gg/sdmodelers, this Discord has links to interesting embeddings and models in the ‘Resources’ channels
13. Extra
13.1. Upscaling
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When you have generated an image, and you find it’s too small, you can use the ‘Send to extras’ button below the result. For Upscaler 1, select “R-ESRGAN x4†and for Upscaler 2, select “Nearestâ€. Depending on the original image, use a Resize value of either 4 (times 4), or 2.
It’s not perfect for very small images, but runs decently good enough for photos with thickness between 512x and 1024x.
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13.2. Docker Desktop
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To check the status of the running containers, open Docker Desktop you should see something like this,
Here you can click on ‘Containers’ in the menu and see all containers installed, at the right of each container you have start/stop icons. This allows you to manage the containers.
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