Create a new conda environment:
conda create --name svgrender python=3.10
conda activate svgrender
Install pytorch and the following libraries:
conda install pytorch==1.13.1 torchvision==0.14.1 torchaudio==0.13.1 pytorch-cuda=11.6 -c pytorch -c nvidia
pip install hydra-core omegaconf
pip install freetype-py shapely svgutils
pip install opencv-python scikit-image matplotlib visdom wandb BeautifulSoup4
pip install triton numba
pip install numpy scipy scikit-fmm einops timm fairscale==0.4.13
pip install accelerate transformers safetensors datasets
Install LaMa:
pip install easydict scikit-learn pytorch_lightning==2.1.0 webdataset
pip install albumentations==0.5.2
pip install kornia==0.5.0
pip install wldhx.yadisk-direct
cd lama
# download LaMa model weights
# raw link(deprecated): curl -L $(yadisk-direct https://disk.yandex.ru/d/kHJkc7bs7mKIVA) -o big-lama.zip
curl -O -L https://huggingface.co/xingxm/PyTorch-SVGRender-models/resolve/main/big-lama.zip
unzip big-lama.zip
cd ..
Install CLIP:
pip install ftfy regex tqdm
pip install git+https://github.com/openai/CLIP.git
Install diffusers:
pip install diffusers==0.20.2
Install xformers (require python=3.10
):
conda install xformers -c xformers
Install diffvg:
git clone https://github.com/BachiLi/diffvg.git
cd diffvg
git submodule update --init --recursive
conda install -y -c anaconda cmake
conda install -y -c conda-forge ffmpeg
pip install svgwrite svgpathtools cssutils torch-tools
python setup.py install