Merge branch 'AUTOMATIC1111:master' into master

    attributes:

      label: Commit where the problem happens

      description: Which commit are you running ? (copy the **Commit hash** shown in the cmd/terminal when you launch the UI)

    validations:

      required: true

  - type: dropdown

    id: platforms

    attributes:

blank_issues_enabled: false

contact_links:

  - name: WebUI Community Support

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

    about: Please ask and answer questions here.

- 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

    - 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

- 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

- 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

- 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

- 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 two checkpoints into one

- Checkpoint Merger, a tab that allows you to merge up to 3 checkpoints into one

- [Custom scripts](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`

- 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](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add --xformers to commandline args)

- 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

- Use Hypernetworks

- Use VAEs

- Estimated completion time in progress bar

- API

- Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML. 

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

## Installation and Running

Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for both [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended) and [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.

Alternatively, use Google Colab:

Alternatively, use online services (like Google Colab):

- [Colab, maintained by Akaibu](https://colab.research.google.com/drive/1kw3egmSn-KgWsikYvOMjJkVDsPLjEMzl)

- [Colab, original by me, outdated](https://colab.research.google.com/drive/1Iy-xW9t1-OQWhb0hNxueGij8phCyluOh).

- [List of Online Services](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Online-Services)

### Automatic Installation on Windows

1. Install [Python 3.10.6](https://www.python.org/downloads/windows/), checking "Add Python to PATH"

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