GitHub - MAli-Farooq/IMVIP23-Worshop: IMVIP23 Synthetic Data Workshop

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Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
CycleGAN-training.ipynb		CycleGAN-training.ipynb
Readme		Readme
Stylegan2-ada Custom Training-v2 -clean.ipynb		Stylegan2-ada Custom Training-v2 -clean.ipynb
cyclegan.yml		cyclegan.yml
install.txt		install.txt
stylegan.yaml		stylegan.yaml
tf1_cuda11.yaml		tf1_cuda11.yaml

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To create the enviroment on local machine for StyleGAN2 and CycleGAN/ Pix2Pix run following Commands

For StyleGAN2
ubuntu 20.04, cuda 10.0, cudnn v7.6.5.32, python 3.6
conda env create -f stylegan.yaml

For CycleGAN
python 3.8
conda env create -f cyclegan.yml


StyleAGN2 repo Links: https://github.com/NVlabs/stylegan2
CycleGAN and Pix2Pix: https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix 
ControNet: https://github.com/lllyasviel/ControlNet

Pretranied Models: https://github.com/jeffheaton/pretrained-gan-fish/tree/main

Bikes Dataset Link: https://decode.mit.edu/projects/biked/ 
Metfaces Dataset Link: https://github.com/NVLabs/metfaces-dataset  
FFHQ Dataset Link: https://github.com/NVlabs/ffhq-dataset

For ControlNET: https://github.com/lllyasviel/ControlNet

Link to Presentation: