170 lines
8.3 KiB
Markdown
170 lines
8.3 KiB
Markdown
# Stable Diffusion web UI
|
|
A browser interface based on Gradio library for Stable Diffusion.
|
|
|
|
|
|
|
|
## Feature showcase
|
|
|
|
[<font size="12">Detailed feature showcase with images, art by Greg Rutkowski</font>](https://github.com/AUTOMATIC1111/stable-diffusion-webui-feature-showcase)
|
|
|
|
- Original txt2img and img2img modes
|
|
- One click install and run script (but you still must install python, git and CUDA)
|
|
- Outpainting
|
|
- Inpainting
|
|
- Prompt matrix
|
|
- Stable Diffusion upscale
|
|
- Attention
|
|
- Loopback
|
|
- X/Y plot
|
|
- Textual Inversion
|
|
- Extras tab with:
|
|
- GFPGAN, neural network that fixes faces
|
|
- RealESRGAN, neural network upscaler
|
|
- ESRGAN, neural network with a lot of third party models
|
|
- Resizing aspect ratio options
|
|
- Sampling method selection
|
|
- Interrupt processing at any time
|
|
- 4GB videocard support
|
|
- 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
|
|
- Mouseover hints fo most UI elements
|
|
- Possible to change defaults/mix/max/step values for UI elements via text config
|
|
|
|
## Installing and running
|
|
|
|
You need [python](https://www.python.org/downloads/windows/) and [git](https://git-scm.com/download/win)
|
|
installed to run this, and an NVidia videocard.
|
|
|
|
I tested the installation to work Windows with Python 3.8.10, and with Python 3.10.6. You may be able
|
|
to have success with different versions.
|
|
|
|
You need `model.ckpt`, Stable Diffusion model checkpoint, a big file containing the neural network weights. You
|
|
can obtain it from the following places:
|
|
- [official download](https://huggingface.co/CompVis/stable-diffusion-v-1-4-original)
|
|
- [file storage](https://drive.yerf.org/wl/?id=EBfTrmcCCUAGaQBXVIj5lJmEhjoP1tgl)
|
|
- magnet:?xt=urn:btih:3a4a612d75ed088ea542acac52f9f45987488d1c&dn=sd-v1-4.ckpt&tr=udp%3a%2f%2ftracker.openbittorrent.com%3a6969%2fannounce&tr=udp%3a%2f%2ftracker.opentrackr.org%3a1337
|
|
|
|
You optionally can use GPFGAN to improve faces, then you'll need to download the model from [here](https://github.com/TencentARC/GFPGAN/releases/download/v1.3.0/GFPGANv1.3.pth).
|
|
|
|
To use ESRGAN models, put them into ESRGAN directory in the same location as webui.py. A file will be loaded
|
|
as model if it has .pth extension. Grab models from the [Model Database](https://upscale.wiki/wiki/Model_Database).
|
|
|
|
### Automatic installation/launch
|
|
|
|
- install [Python 3.10.6](https://www.python.org/downloads/windows/)
|
|
- install [git](https://git-scm.com/download/win)
|
|
- install [CUDA 11.3](https://developer.nvidia.com/cuda-11.3.0-download-archive?target_os=Windows&target_arch=x86_64)
|
|
- place `model.ckpt` into webui directory, next to `webui.bat`.
|
|
- _*(optional)*_ place `GFPGANv1.3.pth` into webui directory, next to `webui.bat`.
|
|
- run `webui.bat` from Windows Explorer.
|
|
|
|
#### Troublehooting:
|
|
|
|
- According to reports, intallation currently does not work in a directory with spaces in filenames.
|
|
- if your version of Python is not in PATH (or if another version is), edit `webui.bat`, change the line `set PYTHON=python` to say the full path to your python executable: `set PYTHON=B:\soft\Python310\python.exe`. You can do this for python, but not for git.
|
|
- if you get out of memory errors and your videocard has low amount of VRAM (4GB), edit `webui.bat`, change line 5 to from `set COMMANDLINE_ARGS=` to `set COMMANDLINE_ARGS=--medvram` (see below for other possible options)
|
|
- installer creates python virtual environment, so none of installed modules will affect your system installation of python if you had one prior to installing this.
|
|
- to prevent the creation of virtual environment and use your system python, edit `webui.bat` replacing `set VENV_DIR=venv` with `set VENV_DIR=`.
|
|
- webui.bat installs requirements from files `requirements_versions.txt`, which lists versions for modules specifically compatible with Python 3.10.6. If you choose to install for a different version of python, editing `webui.bat` to have `set REQS_FILE=requirements.txt` instead of `set REQS_FILE=requirements_versions.txt` may help (but I still reccomend you to just use the recommended version of python).
|
|
- if you feel you broke something and want to reinstall from scratch, delete directories: `venv`, `repositories`.
|
|
|
|
### Manual instructions
|
|
Alternatively, if you don't want to run webui.bat, here are instructions for installing
|
|
everything by hand:
|
|
|
|
```commandline
|
|
:: crate a directory somewhere for stable diffusion and open cmd in it;
|
|
:: make sure you are in the right directory; the command must output the directory you chose
|
|
echo %cd%
|
|
|
|
:: install torch with CUDA support. See https://pytorch.org/get-started/locally/ for more instructions if this fails.
|
|
pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
|
|
|
|
:: check if torch supports GPU; this must output "True". You need CUDA 11. installed for this. You might be able to use
|
|
:: a different version, but this is what I tested.
|
|
python -c "import torch; print(torch.cuda.is_available())"
|
|
|
|
:: clone Stable Diffusion repositories
|
|
git clone https://github.com/CompVis/stable-diffusion.git
|
|
git clone https://github.com/CompVis/taming-transformers
|
|
|
|
:: install requirements of Stable Diffusion
|
|
pip install transformers==4.19.2 diffusers invisible-watermark
|
|
|
|
:: install k-diffusion
|
|
pip install git+https://github.com/crowsonkb/k-diffusion.git
|
|
|
|
:: (optional) install GFPGAN to fix faces
|
|
pip install git+https://github.com/TencentARC/GFPGAN.git
|
|
|
|
:: go into stable diffusion's repo directory
|
|
cd stable-diffusion
|
|
|
|
:: clone web ui
|
|
git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
|
|
|
|
:: install requirements of web ui
|
|
pip install -r stable-diffusion-webui/requirements.txt
|
|
|
|
:: update numpy to latest version
|
|
pip install -U numpy
|
|
|
|
:: (outside of command line) put stable diffusion model into models/ldm/stable-diffusion-v1/model.ckpt; you'll have
|
|
:: to create one missing directory;
|
|
:: the command below must output something like: 1 File(s) 4,265,380,512 bytes
|
|
dir models\ldm\stable-diffusion-v1\model.ckpt
|
|
|
|
:: (outside of command line) put the GFPGAN model into same directory as webui script
|
|
:: the command below must output something like: 1 File(s) 348,632,874 bytes
|
|
dir stable-diffusion-webui\GFPGANv1.3.pth
|
|
```
|
|
|
|
After that the installation is finished.
|
|
|
|
Run the command to start web ui:
|
|
|
|
```
|
|
python stable-diffusion-webui/webui.py
|
|
```
|
|
|
|
If you have a 4GB video card, run the command with either `--lowvram` or `--medvram` argument:
|
|
|
|
```
|
|
python stable-diffusion-webui/webui.py --medvram
|
|
```
|
|
|
|
After a while, you will get a message like this:
|
|
|
|
```
|
|
Running on local URL: http://127.0.0.1:7860/
|
|
```
|
|
|
|
Open the URL in browser, and you are good to go.
|
|
|
|
|
|
### What options to use for low VRAM videocards?
|
|
- If you have 4GB VRAM and want to make 512x512 (or maybe up to 640x640) images, use `--medvram`.
|
|
- If you have 4GB VRAM and want to make 512x512 images, but you get an out of memory error with `--medvram`, use `--medvram --opt-split-attention` instead.
|
|
- If you have 4GB VRAM and want to make 512x512 images, and you still get an out of memory error, use `--lowvram --always-batch-cond-uncond` instead.
|
|
- If you have 4GB VRAM and want to make images larger than you can with `--medvram`, use `--lowvram`.
|
|
- If you have more VRAM and want to make larger images than you can usually make, use `--medvram`. You can use `--lowvram`
|
|
also but the effect will likely be barely noticeable.
|
|
- Otherwise, do not use any of those.
|
|
|
|
Extra: if you get a green screen instead of generated pictures, you have a card that doesn't support half
|
|
precision floating point numbers. You must use `--precision full --no-half` in addition to other flags,
|
|
and the model will take much more space in VRAM.
|
|
|
|
## 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
|
|
- ESRGAN - https://github.com/xinntao/ESRGAN
|
|
- Ideas for optimizations and some code (from users) - https://github.com/basujindal/stable-diffusion
|
|
- Idea for SD upscale - https://github.com/jquesnelle/txt2imghd
|
|
- Initial Gradio script - posted on 4chan by an Anonymous user. Thank you Anonymous user.
|
|
- (You)
|