Stable Diffusion Setup¶

Stable Diffusion <add info here>

Prerequisites¶

Hardware¶

• Modern Linux computer with 20 GB disk space
• NVidia GPU with >= 4 GB VRAM

CUDA¶

Installation of NVidia Driver and CUDA is not covered here.

Docker¶

1. Ensure Docker prereqs are all installed:
   

   $ sudo apt update
   $ sudo apt install ca-certificates curl gnupg lsb-release
   

2. Install GPG key:
   

   $ sudo mkdir -m 0755 -p /etc/apt/keyrings
   $ curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo gpg --dearmor -o /etc/apt/keyrings/docker.gpg
   

3. Add Docker APT repository configuration:
   

   echo "deb [arch=$(dpkg --print-architecture) signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu  $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/docker.list > /dev/null
   

4. Install packages:
   

   $ sudo apt install docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
   

NVidia Container Toolkit¶

1. Install GPG key:
   

   $ curl -s -L https://nvidia.github.io/nvidia-docker/gpgkey | apt-key add -
   

2. Setup APT repo:
   

   $ sudo bash -c "curl -s -L https://nvidia.github.io/nvidia-docker/ubuntu22.04/nvidia-docker.list > /etc/apt/sources.list.d/nvidia-docker.list" 
   

3. Install package:
   

   $ sudo apt update
   $ sudo apt -y install nvidia-container-toolkit
   

4. Restart docker:
   

   $ sudo systemctl restart docker
   

Stable Diffusion Docker Container of WebUI¶

1. Go to https://github.com/AbdBarho/stable-diffusion-webui-docker/releases, download the latest source code release (ZIP) under Assets. Unzip it somewhere.
2. Go to the directory where you unzipped the archive, and run
   

   sudo docker compose --profile download up --build
   

   
   this will download 12GB of pretrained models. Wait until it is finished, then
   

   docker compose --profile auto up --build
   

   
   More details are available on the project's wiki: https://github.com/AbdBarho/stable-diffusion-webui-docker/wiki/Setup
3. Wait until you see
   

    Running on local URL:  http://0.0.0.0:7860
    To create a public link, set `share=True` in `launch()`.
   

   
   Then go to http://localhost:7860/ in any browser.

Naughty Stuff¶

1. Download one of the better 'Nudifying' models,
• 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 (1.99 GB)"
  • "Config"
• 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
  2. Embeddings​
• Add the following files in the data/embeddings: https://gofile.io/d/az0mmz
• These allow you to add breasts, small_tits and Style-Unshaved in your prompt, and provide better quality breasts / vaginas. The first one is more generalized, the latter is well.. yes.
• Check the Discord link in the 'Additional Tips', ppl post additional embeddings on there.

3. Loading Model​

• In the webui, at the top left, "Stable Diffusion checkpoint", hit the 'Refresh' icon.
• Now you should see the uberRealisticPornMerge_urpmv12 model in the list, select it.

4. 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

  • ((clothing), (monochrome:1.3), (deformed, distorted, disfigured:1.3), (hair), jeans, tattoo, wet, water, clothing, shadow, 3d render, cartoon, ((blurry)), duplicate, ((duplicate body parts)), (disfigured), (poorly drawn), ((missing limbs)), logo, signature, text, words, low res, boring, artifacts, bad art, gross, ugly, poor quality, low quality, poorly drawn, bad anatomy, wrong anatomy​

• If not otherwise mentioned, leave default,
  • Masked content : fill (will just fill in the area without taking in to consideration the original masked '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, then increase to 50 for better quality/results when needed. But the higher, the longer it takes. I have mostly good results with 20, but it all depends on the complexity of the source image and the masked area.​
    ​** CFG Scale: 7 - 12 (mostly 7)​
    ​** 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.