| | ---
|
| | title: Ellas_SD
|
| | app_file: ./venv/bin/gradio
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| | sdk: gradio
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| | sdk_version: 3.41.2
|
| | ---
|
| | # Stable Diffusion web UI
|
| | A web interface for Stable Diffusion, implemented using Gradio library.
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| |
|
| | 
|
| |
|
| | ## Features
|
| | [Detailed feature showcase with images](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features):
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| | - Original txt2img and img2img modes
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| | - One click install and run script (but you still must install python and git)
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| | - Outpainting
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| | - Inpainting
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| | - Color Sketch
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| | - Prompt Matrix
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| | - Stable Diffusion Upscale
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| | - Attention, specify parts of text that the model should pay more attention to
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| | - a man in a `((tuxedo))` - will pay more attention to tuxedo
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| | - a man in a `(tuxedo:1.21)` - alternative syntax
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| | - 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)
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| | - Loopback, run img2img processing multiple times
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| | - X/Y/Z plot, a way to draw a 3 dimensional plot of images with different parameters
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| | - Textual Inversion
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| | - have as many embeddings as you want and use any names you like for them
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| | - use multiple embeddings with different numbers of vectors per token
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| | - works with half precision floating point numbers
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| | - train embeddings on 8GB (also reports of 6GB working)
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| | - Extras tab with:
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| | - GFPGAN, neural network that fixes faces
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| | - CodeFormer, face restoration tool as an alternative to GFPGAN
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| | - RealESRGAN, neural network upscaler
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| | - ESRGAN, neural network upscaler with a lot of third party models
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| | - SwinIR and Swin2SR ([see here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/pull/2092)), neural network upscalers
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| | - LDSR, Latent diffusion super resolution upscaling
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| | - Resizing aspect ratio options
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| | - Sampling method selection
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| | - Adjust sampler eta values (noise multiplier)
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| | - More advanced noise setting options
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| | - Interrupt processing at any time
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| | - 4GB video card support (also reports of 2GB working)
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| | - Correct seeds for batches
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| | - Live prompt token length validation
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| | - Generation parameters
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| | - parameters you used to generate images are saved with that image
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| | - in PNG chunks for PNG, in EXIF for JPEG
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| | - can drag the image to PNG info tab to restore generation parameters and automatically copy them into UI
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| | - can be disabled in settings
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| | - drag and drop an image/text-parameters to promptbox
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| | - Read Generation Parameters Button, loads parameters in promptbox to UI
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| | - Settings page
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| | - Running arbitrary python code from UI (must run with `--allow-code` to enable)
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| | - Mouseover hints for most UI elements
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| | - Possible to change defaults/mix/max/step values for UI elements via text config
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| | - Tiling support, a checkbox to create images that can be tiled like textures
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| | - Progress bar and live image generation preview
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| | - Can use a separate neural network to produce previews with almost none VRAM or compute requirement
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| | - Negative prompt, an extra text field that allows you to list what you don't want to see in generated image
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| | - Styles, a way to save part of prompt and easily apply them via dropdown later
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| | - Variations, a way to generate same image but with tiny differences
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| | - Seed resizing, a way to generate same image but at slightly different resolution
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| | - CLIP interrogator, a button that tries to guess prompt from an image
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| | - Prompt Editing, a way to change prompt mid-generation, say to start making a watermelon and switch to anime girl midway
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| | - Batch Processing, process a group of files using img2img
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| | - Img2img Alternative, reverse Euler method of cross attention control
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| | - Highres Fix, a convenience option to produce high resolution pictures in one click without usual distortions
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| | - Reloading checkpoints on the fly
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| | - Checkpoint Merger, a tab that allows you to merge up to 3 checkpoints into one
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| | - [Custom scripts](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Custom-Scripts) with many extensions from community
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| | - [Composable-Diffusion](https://energy-based-model.github.io/Compositional-Visual-Generation-with-Composable-Diffusion-Models/), a way to use multiple prompts at once
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| | - separate prompts using uppercase `AND`
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| | - also supports weights for prompts: `a cat :1.2 AND a dog AND a penguin :2.2`
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| | - No token limit for prompts (original stable diffusion lets you use up to 75 tokens)
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| | - DeepDanbooru integration, creates danbooru style tags for anime prompts
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| | - [xformers](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Xformers), major speed increase for select cards: (add `--xformers` to commandline args)
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| | - via extension: [History tab](https://github.com/yfszzx/stable-diffusion-webui-images-browser): view, direct and delete images conveniently within the UI
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| | - Generate forever option
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| | - Training tab
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| | - hypernetworks and embeddings options
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| | - Preprocessing images: cropping, mirroring, autotagging using BLIP or deepdanbooru (for anime)
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| | - Clip skip
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| | - Hypernetworks
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| | - Loras (same as Hypernetworks but more pretty)
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| | - A separate UI where you can choose, with preview, which embeddings, hypernetworks or Loras to add to your prompt
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| | - Can select to load a different VAE from settings screen
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| | - Estimated completion time in progress bar
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| | - API
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| | - Support for dedicated [inpainting model](https://github.com/runwayml/stable-diffusion#inpainting-with-stable-diffusion) by RunwayML
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| | - via extension: [Aesthetic Gradients](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://github.com/vicgalle/stable-diffusion-aesthetic-gradients](https://github.com/vicgalle/stable-diffusion-aesthetic-gradients))
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| | - [Stable Diffusion 2.0](https://github.com/Stability-AI/stablediffusion) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20) for instructions
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| | - [Alt-Diffusion](https://arxiv.org/abs/2211.06679) support - see [wiki](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#alt-diffusion) for instructions
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| | - Now without any bad letters!
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| | - Load checkpoints in safetensors format
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| | - Eased resolution restriction: generated image's dimensions must be a multiple of 8 rather than 64
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| | - Now with a license!
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| | - Reorder elements in the UI from settings screen
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| | - [Segmind Stable Diffusion](https://huggingface.co/segmind/SSD-1B) support
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| |
|
| | ## Installation and Running
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| | Make sure the required [dependencies](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies) are met and follow the instructions available for:
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| | - [NVidia](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs) (recommended)
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| | - [AMD](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-AMD-GPUs) GPUs.
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| | - [Intel CPUs, Intel GPUs (both integrated and discrete)](https://github.com/openvinotoolkit/stable-diffusion-webui/wiki/Installation-on-Intel-Silicon) (external wiki page)
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| | - [Ascend NPUs](https://github.com/wangshuai09/stable-diffusion-webui/wiki/Install-and-run-on-Ascend-NPUs) (external wiki page)
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| |
|
| | Alternatively, use online services (like Google Colab):
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| |
|
| | - [List of Online Services](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Online-Services)
|
| |
|
| | ### Installation on Windows 10/11 with NVidia-GPUs using release package
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| | 1. Download `sd.webui.zip` from [v1.0.0-pre](https://github.com/AUTOMATIC1111/stable-diffusion-webui/releases/tag/v1.0.0-pre) and extract its contents.
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| | 2. Run `update.bat`.
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| | 3. Run `run.bat`.
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| | > For more details see [Install-and-Run-on-NVidia-GPUs](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Install-and-Run-on-NVidia-GPUs)
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| |
|
| | ### Automatic Installation on Windows
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| | 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".
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| | 2. Install [git](https://git-scm.com/download/win).
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| | 3. Download the stable-diffusion-webui repository, for example by running `git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git`.
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| | 4. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.
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| |
|
| | ### Automatic Installation on Linux
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| | 1. Install the dependencies:
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| | ```bash
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| | # Debian-based:
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| | sudo apt install wget git python3 python3-venv libgl1 libglib2.0-0
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| | # Red Hat-based:
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| | sudo dnf install wget git python3 gperftools-libs libglvnd-glx
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| | # openSUSE-based:
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| | sudo zypper install wget git python3 libtcmalloc4 libglvnd
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| | # Arch-based:
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| | sudo pacman -S wget git python3
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| | ```
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| | If your system is very new, you need to install python3.11 or python3.10:
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| | ```bash
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| | # Ubuntu 24.04
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| | sudo add-apt-repository ppa:deadsnakes/ppa
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| | sudo apt update
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| | sudo apt install python3.11
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| |
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| | # Manjaro/Arch
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| | sudo pacman -S yay
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| | yay -S python311 # do not confuse with python3.11 package
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| |
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| | # Only for 3.11
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| | # Then set up env variable in launch script
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| | export python_cmd="python3.11"
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| | # or in webui-user.sh
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| | python_cmd="python3.11"
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| | ```
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| | 2. Navigate to the directory you would like the webui to be installed and execute the following command:
|
| | ```bash
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| | wget -q https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh
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| | ```
|
| | Or just clone the repo wherever you want:
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| | ```bash
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| | git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui
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| | ```
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| |
|
| | 3. Run `webui.sh`.
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| | 4. Check `webui-user.sh` for options.
|
| | ### Installation on Apple Silicon
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| |
|
| | Find the instructions [here](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Installation-on-Apple-Silicon).
|
| |
|
| | ## Contributing
|
| | Here's how to add code to this repo: [Contributing](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Contributing)
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| |
|
| | ## Documentation
|
| |
|
| | The documentation was moved from this README over to the project's [wiki](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://github-wiki-see.page/m/AUTOMATIC1111/stable-diffusion-webui/wiki).
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| |
|
| | ## Credits
|
| | Licenses for borrowed code can be found in `Settings -> Licenses` screen, and also in `html/licenses.html` file.
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| |
|
| | - Stable Diffusion - https://github.com/Stability-AI/stablediffusion, https://github.com/CompVis/taming-transformers, https://github.com/mcmonkey4eva/sd3-ref
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| | - k-diffusion - https://github.com/crowsonkb/k-diffusion.git
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| | - Spandrel - https://github.com/chaiNNer-org/spandrel implementing
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| | - GFPGAN - https://github.com/TencentARC/GFPGAN.git
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| | - CodeFormer - https://github.com/sczhou/CodeFormer
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| | - ESRGAN - https://github.com/xinntao/ESRGAN
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| | - SwinIR - https://github.com/JingyunLiang/SwinIR
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| | - Swin2SR - https://github.com/mv-lab/swin2sr
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| | - LDSR - https://github.com/Hafiidz/latent-diffusion
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| | - MiDaS - https://github.com/isl-org/MiDaS
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| | - Ideas for optimizations - https://github.com/basujindal/stable-diffusion
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| | - Cross Attention layer optimization - Doggettx - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
|
| | - Cross Attention layer optimization - InvokeAI, lstein - https://github.com/invoke-ai/InvokeAI (originally http://github.com/lstein/stable-diffusion)
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| | - Sub-quadratic Cross Attention layer optimization - Alex Birch (https://github.com/Birch-san/diffusers/pull/1), Amin Rezaei (https://github.com/AminRezaei0x443/memory-efficient-attention)
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| | - Textual Inversion - Rinon Gal - 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
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| | - Noise generation for outpainting mk2 - https://github.com/parlance-zz/g-diffuser-bot
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| | - CLIP interrogator idea and borrowing some code - https://github.com/pharmapsychotic/clip-interrogator
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| | - Idea for Composable Diffusion - https://github.com/energy-based-model/Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch
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| | - xformers - https://github.com/facebookresearch/xformers
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| | - DeepDanbooru - interrogator for anime diffusers https://github.com/KichangKim/DeepDanbooru
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| | - Sampling in float32 precision from a float16 UNet - marunine for the idea, Birch-san for the example Diffusers implementation (https://github.com/Birch-san/diffusers-play/tree/92feee6)
|
| | - Instruct pix2pix - Tim Brooks (star), Aleksander Holynski (star), Alexei A. Efros (no star) - https://github.com/timothybrooks/instruct-pix2pix
|
| | - Security advice - RyotaK
|
| | - UniPC sampler - Wenliang Zhao - https://github.com/wl-zhao/UniPC
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| | - TAESD - Ollin Boer Bohan - https://github.com/madebyollin/taesd
|
| | - LyCORIS - KohakuBlueleaf
|
| | - Restart sampling - lambertae - https://github.com/Newbeeer/diffusion_restart_sampling
|
| | - Hypertile - tfernd - https://github.com/tfernd/HyperTile
|
| | - Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
|
| | - (You)
|
| | |
