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# Stable Diffusion web UI
A browser interface based on Gradio library for Stable Diffusion.
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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
- Inpainting
- Prompt matrix
- Stable Diffusion upscale
- Attention
- Loopback
- X/Y plot
- Textual Inversion
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- Extras tab with:
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- GFPGAN, neural network that fixes faces
- CodeFormer, face restoration tool as an alternative to GFPGAN
- RealESRGAN, neural network upscaler
- ESRGAN, neural network with a lot of third party models
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- SwinIR, neural network upscaler
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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
- Interrupt processing at any time
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- 4GB video card support
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- Correct seeds for batches
- Prompt length validation
- Generation parameters added as text to PNG
- Tab to view an existing picture's generation parameters
- Settings page
- Running custom code from UI
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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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- Random artist button
- Tiling support: UI checkbox to create images that can be tiled like textures
- Progress bar and live image generation preview
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- Negative prompt
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- Styles
- Variations
- Seed resizing
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- CLIP interrogator
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- Prompt Editing
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- Batch Processing
- Img2img Alternative
- Highres Fix
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- LDSR Upscaling
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## 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.
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Alternatively, use [Google Colab ](https://colab.research.google.com/drive/1Iy-xW9t1-OQWhb0hNxueGij8phCyluOh ).
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### Automatic Installation on Windows
1. Install [Python 3.10.6 ](https://www.python.org/downloads/windows/ ), checking "Add Python to PATH"
2. Install [git ](https://git-scm.com/download/win ).
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. Place `model.ckpt` in the `models` directory (see [dependencies ](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies ) for where to get it).
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5. _*(Optional)*_ Place `GFPGANv1.4.pth` in the base directory, alongside `webui.py` (see [dependencies ](https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Dependencies ) for where to get it).
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6. Run `webui-user.bat` from Windows Explorer as normal, non-administrator, user.
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### Automatic Installation on Linux
1. Install the dependencies:
```bash
# Debian-based:
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sudo apt install wget git python3 python3-venv
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# Red Hat-based:
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sudo dnf install wget git python3
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# Arch-based:
sudo pacman -S wget git python3
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```
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2. To install in `/home/$(whoami)/stable-diffusion-webui/` , run:
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```bash
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bash < (wget -qO- https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui/master/webui.sh)
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```
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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 ).
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## 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
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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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- LDSR - https://github.com/Hafiidz/latent-diffusion
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- Ideas for optimizations - https://github.com/basujindal/stable-diffusion
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- Doggettx - Cross Attention layer optimization - https://github.com/Doggettx/stable-diffusion, original idea for prompt editing.
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- 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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- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
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- (You)
