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A1111 WebUI

A1111 WebUI

A1111 WebUI

130.2k 25.0k
04 May, 2024

What is Stable Diffusion Web UI ?

Stable Diffusion Web UI is a Gradio browser interface for the Generative AI model Stable Diffusion.

Stable Diffusion Web UI 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

  • Color Sketch

  • 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 (or Command+Up or Command+Down if you’re on a MacOS) to automatically adjust attention to selected text (code contributed by anonymous user)

  • Loopback, run img2img processing multiple times

  • X/Y/Z plot, a way to draw a 3 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

    • train embeddings on 8GB (also reports of 6GB working)

  • 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

  • Live prompt token length validation

  • 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

    • drag and drop an image/text-parameters to promptbox

  • Read Generation Parameters Button, loads parameters in promptbox to UI

  • 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

  • Tiling support, a checkbox to create images that can be tiled like textures

  • Progress bar and live image generation preview

    • Can use a separate neural network to produce previews with almost none VRAM or compute requirement
  • 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, reverse Euler method of cross attention control

  • 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 up to 3 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

  • xformers, major speed increase for select cards: (add --xformers to commandline args)

  • via extension: History tab: view, direct and delete images conveniently within the UI

  • Generate forever option

  • Training tab

    • hypernetworks and embeddings options

    • Preprocessing images: cropping, mirroring, autotagging using BLIP or deepdanbooru (for anime)

  • Clip skip

  • Hypernetworks

  • Loras (same as Hypernetworks but more pretty)

  • A separate UI where you can choose, with preview, which embeddings, hypernetworks or Loras to add to your prompt

  • Can select to load a different VAE from settings screen

  • Estimated completion time in progress bar

  • API

  • Support for dedicated inpainting model by RunwayML

  • via extension: Aesthetic Gradients, a way to generate images with a specific aesthetic by using clip images embeds (implementation of https://github.com/vicgalle/stable-diffusion-aesthetic-gradients)

  • Stable Diffusion 2.0 support - see wiki for instructions

  • Alt-Diffusion support - see wiki for instructions

  • Now without any bad letters!

  • Load checkpoints in safetensors format

  • Eased resolution restriction: generated image’s dimensions must be a multiple of 8 rather than 64

  • Now with a license!

  • Reorder elements in the UI from settings screen

  • Segmind Stable Diffusion support

Installation and Running

Make sure the required dependencies are met and follow the instructions available for:

Alternatively, use online services (like Google Colab):

Installation on Windows 10/11 with NVidia-GPUs using release package

  1. Download sd.webui.zip from v1.0.0-pre and extract its contents.

  2. Run update.bat.

  3. Run run.bat.

For more details see Install-and-Run-on-NVidia-GPUs

Automatic Installation on Windows

  1. Install Python 3.10.6 (Newer version of Python does not support torch), 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. Run webui-user.bat from Windows Explorer as normal, non-administrator, user.

Automatic Installation on Linux

  1. Install the dependencies:
Terminal window
# Debian-based:
sudo apt install wget git python3 python3-venv libgl1 libglib2.0-0
# Red Hat-based:
sudo dnf install wget git python3 gperftools-libs libglvnd-glx
# openSUSE-based:
sudo zypper install wget git python3 libtcmalloc4 libglvnd
# Arch-based:
sudo pacman -S wget git python3
  1. Navigate to the directory you would like the webui to be installed and execute the following command:
Terminal window
wget -q https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh
  1. Run webui.sh.

  2. Check webui-user.sh for options.

Installation on Apple Silicon

Find the instructions here.