- 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)
- [Custom scripts](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community
- [Composable-Diffusion](https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/), 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`
- [xformers](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add `--xformers` to commandline args)
- via extension: [History tab](https://ghproxy.com/https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
- Support for dedicated [inpainting model](https://ghproxy.com/https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML
- via extension: [Aesthetic Gradients](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui-aesthetic-gradients), a way to generate images with a specific aesthetic by using clip images embeds (implementation of [https://ghproxy.com/https://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://ghproxy.com/https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
- [Stable Diffusion 2.0](https://ghproxy.com/https://github.com/Stability-AI/stablediffusion) support - see [wiki](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20) for instructions
- [Alt-Diffusion](https://arxiv.org/abs/2211.06679) support - see [wiki](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alt-diffusion) for instructions
Make sure the required [dependencies](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
1. Download `sd.webui.zip` from [v1.0.0-pre](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.0.0-pre) and extract it's contents.
> For more details see [Install-and-Run-on-NVidia-GPUs](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs)
1. Install [Python 3.10.6](https://www.python.org/downloads/release/python-3106/) (Newer version of Python does not support torch), checking "Add Python to PATH".
3. Download the stable-diffusion-webui repository, for example by running `git clone https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`.
The documentation was moved from this README over to the project's [wiki](https://ghproxy.com/https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki).
For the purposes of getting Google and other search engines to crawl the wiki, here's a link to the (not for humans) [crawlable wiki](https://ghproxy.com/https://github-wiki-see.page/m/AUTOMATIC1111/stable-diffusion-webui/wiki).
- Textual Inversion - Rinon Gal - https://ghproxy.com/https://github.com/rinongal/textual_inversion (we're not using his code, but we are using his ideas).
- Idea for SD upscale - https://ghproxy.com/https://github.com/jquesnelle/txt2imghd
- Noise generation for outpainting mk2 - https://ghproxy.com/https://github.com/parlance-zz/g-diffuser-bot
- CLIP interrogator idea and borrowing some code - https://ghproxy.com/https://github.com/pharmapsychotic/clip-interrogator
- Idea for Composable Diffusion - https://ghproxy.com/https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
- DeepDanbooru - interrogator for anime diffusers https://ghproxy.com/https://github.com/KichangKim/DeepDanbooru
- Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://ghproxy.com/https://github.com/Birch-san/diffusers-play/tree/92feee6)
- Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://ghproxy.com/https://github.com/timothybrooks/instruct-pix2pix