stable-diffusion-webui

Stable Diffusion web UI

A browser interface based on Gradio library for Stable Diffusion.

Check the custom scripts wiki page for extra scripts developed by users.

https://github.com/sd-webui/stable-diffusion-webui

https://github.com/AUTOMATIC1111/stable-diffusion-webui

Installation and Running

• linux
• Nvidia GPU
• python3
• git

git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git.

下载模型文件(.ckpt)： https://huggingface.co/CompVis/stable-diffusion-v-1-4-original 移动到 models/Stable-diffusion

Make sure the required dependencies are met and follow the instructions available for both NVidia (recommended) and AMD GPUs.

Alternatively, use Google Colab:

• Colab, maintained by Akaibu
• Colab, original by me, outdated.

Automatic Installation on Windows

1. Install Python 3.10.6, checking "Add Python to PATH"
2. Install git.
3. Download the stable-diffusion-webui repository, for example by running git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git.
4. Place model.ckpt in the models directory (see dependencies for where to get it).
5. (Optional) Place GFPGANv1.4.pth in the base directory, alongside webui.py (see dependencies for where to get it).
6. Run webui-user.bat from Windows Explorer as normal, non-administrator, user.

Automatic Installation on Linux

1. Install the dependencies:

   # Debian-based:
   sudo apt install wget git python3 python3-venv
   # Red Hat-based:
   sudo dnf install wget git python3
   # Arch-based:
   sudo pacman -S wget git python3
   

2. To install in /home/$(whoami)/stable-diffusion-webui/, run:

   bash <(wget -qO- https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh)
   

Installation on Apple Silicon

Find the instructions here.

Contributing

Here's how to add code to this repo: Contributing

Documentation

The documentation was moved from this README over to the project's wiki.

Credits

• Stable Diffusion - https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers
• k-diffusion - https://github.com/crowsonkb/k-diffusion.git
• GFPGAN - https://github.com/TencentARC/GFPGAN.git
• CodeFormer - https://github.com/sczhou/CodeFormer
• ESRGAN - https://github.com/xinntao/ESRGAN
• SwinIR - https://github.com/JingyunLiang/SwinIR
• Swin2SR - https://github.com/mv-lab/swin2sr
• LDSR - https://github.com/Hafiidz/latent-diffusion
• Ideas for optimizations - https://github.com/basujindal/stable-diffusion
• Doggettx - Cross Attention layer optimization - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
• InvokeAI, lstein - Cross Attention layer optimization - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
• Rinon Gal - Textual Inversion - https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).
• Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
• Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot
• CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
• Idea for Composable Diffusion - https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
• xformers - https://github.com/facebookresearch/xformers
• DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
• Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
• (You)