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.

Features

Detailed feature showcase with images:- Original txt2img and img2img modes- One click install and run script (but you still must install python and git)- Outpainting- Inpainting- Prompt Matrix- Stable Diffusion Upscale- Attention, specify parts of text that the model should pay more attention to - a man in a ((tuxedo)) - will pay more attention to tuxedo - a man in a (tuxedo:1.21) - alternative syntax - select text and press ctrl+up or ctrl+down to automatically adjust attention to selected text (code contributed by anonymous user)- Loopback, run img2img processing multiple times- X/Y plot, a way to draw a 2 dimensional plot of images with different parameters- Textual Inversion - have as many embeddings as you want and use any names you like for them - use multiple embeddings with different numbers of vectors per token - works with half precision floating point numbers- Extras tab with: - GFPGAN, neural network that fixes faces - CodeFormer, face restoration tool as an alternative to GFPGAN - RealESRGAN, neural network upscaler - ESRGAN, neural network upscaler with a lot of third party models - SwinIR and Swin2SR(see here), neural network upscalers - LDSR, Latent diffusion super resolution upscaling- Resizing aspect ratio options- Sampling method selection - Adjust sampler eta values (noise multiplier) - More advanced noise setting options- Interrupt processing at any time- 4GB video card support (also reports of 2GB working)- Correct seeds for batches- Prompt length validation - get length of prompt in tokens as you type - get a warning after generation if some text was truncated- Generation parameters - parameters you used to generate images are saved with that image - in PNG chunks for PNG, in EXIF for JPEG - can drag the image to PNG info tab to restore generation parameters and automatically copy them into UI - can be disabled in settings- Settings page- Running arbitrary python code from UI (must run with --allow-code to enable)- Mouseover hints for most UI elements- Possible to change defaults/mix/max/step values for UI elements via text config- Random artist button- Tiling support, a checkbox to create images that can be tiled like textures- Progress bar and live image generation preview- Negative prompt, an extra text field that allows you to list what you don't want to see in generated image- Styles, a way to save part of prompt and easily apply them via dropdown later- Variations, a way to generate same image but with tiny differences- Seed resizing, a way to generate same image but at slightly different resolution- CLIP interrogator, a button that tries to guess prompt from an image- Prompt Editing, a way to change prompt mid-generation, say to start making a watermelon and switch to anime girl midway- Batch Processing, process a group of files using img2img- Img2img Alternative- Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions- Reloading checkpoints on the fly- Checkpoint Merger, a tab that allows you to merge two checkpoints into one- Custom scripts with many extensions from community- Composable-Diffusion, a way to use multiple prompts at once - separate prompts using uppercase AND - also supports weights for prompts: a cat :1.2 AND a dog AND a penguin :2.2- No token limit for prompts (original stable diffusion lets you use up to 75 tokens)- DeepDanbooru integration, creates danbooru style tags for anime prompts (add --deepdanbooru to commandline args)- xformers, major speed increase for select cards: (add --xformers to commandline args)

Installation and Running

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:```bash

   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 python32. To install in `/home/$(whoami)/stable-diffusion-webui/`, run:bashbash <(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)

wget https://archive.org/download/github.com-AUTOMATIC1111-stable-diffusion-webui_-_2022-10-15_04-13-12/AUTOMATIC1111-stable-diffusion-webui_-_2022-10-15_04-13-12.bundle

 git clone AUTOMATIC1111-stable-diffusion-webui_-_2022-10-15_04-13-12.bundle 

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