stablediffusion-infinity

Outpainting with Stable Diffusion on an infinite canvas.

Start with init_image (updated demo in Gradio):

Start with text2img (ipycanvas version):

The web app might work on Windows (see this issue lkwq007#12 for more information) and Apple Silicon devices (untested, check guide here: https://huggingface.co/docs/diffusers/optimization/mps).

Status

This project mainly works as a proof of concept. In that case, the UI design is relatively weak, and the quality of results is not guaranteed. You may need to do prompt engineering or change the size of the selection box to get better outpainting results.

The project now becomes a web app based on PyScript and Gradio. For Jupyter Notebook version, please check out the ipycanvas branch.

Pull requests are welcome for better UI control, ideas to achieve better results, or any other improvements.

Update: the project also supports glid-3-xl-stable as inpainting/outpainting model. Note that you have to restart the app.py to change model. (not supported on colab)

Update: the project add photometric correction to suppress seams, to use this feature, you need to install fpie: pip install fpie (Linux/MacOS only)

Setup environment

setup with environment.yml

git clone --recurse-submodules https://github.com/lkwq007/stablediffusion-infinity
cd stablediffusion-infinity
conda env create -f environment.yml

if the environment.yml doesn't work for you, you may install dependencies manually:

conda create -n sd-inf python=3.10
conda activate sd-inf
conda install pytorch torchvision torchaudio cudatoolkit=11.3 -c pytorch
conda install scipy scikit-image
conda install -c conda-forge diffusers transformers ftfy
pip install opencv-python
pip install gradio==3.4.0
pip install pytorch-lightning==1.7.7 einops==0.4.1 omegaconf==2.2.3

For windows, you may need to replace pip install opencv-python with conda install -c conda-forge opencv

CPP library (optional)

Note that opencv library (e.g. libopencv-dev/opencv-devel, the package name may differ on different distributions) is required for PyPatchMatch. You may need to install opencv by yourself. If no opencv installed, the patch_match option (usually better quality) won't work.

How-to

conda activate sd-inf
python app.py

Running with Docker on Windows or Linux with NVIDIA GPU

On Windows 10 or 11 you can follow this guide to setting up Docker with WSL2 https://www.youtube.com/watch?v=PB7zM3JrgkI

Native Linux

cd stablediffusion-infinity/docker
./docker-run.sh

Windows 10,11 with WSL2 shell:

• open windows Command Prompt, type "bash"
• once in bash, type:

cd /mnt/c/PATH-TO-YOUR/stablediffusion-infinity/docker
./docker-run.sh

Open "http://localhost:8888" in your browser ( even though the log says http://0.0.0.0:8888 )

FAQs

• Troubleshooting on Windows (outdated):
  • lkwq007#12
• The result is a black square:
  • False positive rate of safety checker is relatively high, you may disable the safety_checker
• What is the init_mode
  • init_mode indicates how to fill the empty/masked region, usually patch_match is better than others
• Why not use postMessage for iframe interaction
  • The iframe and the gradio are in the same origin. For postMessage version, check out gradio-space version

Credit

The code of perlin2d.py is from https://stackoverflow.com/questions/42147776/producing-2d-perlin-noise-with-numpy/42154921#42154921 and is not included in the scope of LICENSE used in this repo.

The submodule glid_3_xl_stable is based on https://github.com/Jack000/glid-3-xl-stable

The submodule PyPatchMatch is based on https://github.com/vacancy/PyPatchMatch

The code of postprocess.py and process.py is modified based on https://github.com/Trinkle23897/Fast-Poisson-Image-Editing