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Setup Guide

Please install conda at first (miniconda or anaconda).

Setup with Linux/Nvidia GPU

conda env

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 pytorch-cuda=11.6 -c pytorch -c nvidia
conda install scipy scikit-image
conda install -c conda-forge diffusers transformers ftfy accelerate
pip install opencv-python
pip install -U gradio
pip install pytorch-lightning==1.7.7 einops==0.4.1 omegaconf==2.2.3
pip install timm

After setup the environment, you can run stablediffusion-infinity with following commands:

conda activate sd-inf
python app.py

Setup with Linux/AMD GPU (untested)

conda create -n sd-inf python=3.10
conda activate sd-inf
pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/rocm5.2
conda install scipy scikit-image
conda install -c conda-forge diffusers transformers ftfy accelerate
pip install opencv-python
pip install -U gradio
pip install pytorch-lightning==1.7.7 einops==0.4.1 omegaconf==2.2.3
pip install timm

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.

Setup with Windows 

conda create -n sd-inf python=3.10
conda activate sd-inf
conda install pytorch torchvision torchaudio pytorch-cuda=11.6 -c pytorch -c nvidia
conda install scipy scikit-image
conda install -c conda-forge diffusers transformers ftfy accelerate
pip install opencv-python
pip install -U gradio
pip install pytorch-lightning==1.7.7 einops==0.4.1 omegaconf==2.2.3
pip install timm

If you use AMD GPUs, you need to install the ONNX runtime pip install onnxruntime-directml (only works with the stablediffusion-inpainting model, untested on AMD devices).

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

After setup the environment, you can run stablediffusion-infinity with following commands:

conda activate sd-inf
python app.py

Setup with MacOS

conda env

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

After setup the environment, you can run stablediffusion-infinity with following commands:

conda activate sd-inf
python app.py

CPP library (optional)

Note that opencv library is required for PyPatchMatch. You may need to install opencv by yourself (via homebrew or compile from source). If no opencv installed, the patch_match option (usually better quality) won't work.

Upgrade 

conda install -c conda-forge diffusers transformers ftfy accelerate
conda update -c conda-forge diffusers transformers ftfy accelerate
pip install -U gradio