StyleCLIP GUI Windows Installation Tutorial смотреть онлайн

My Copy of StyleCLIP GitHub
https://github.com/bycloudai/StyleCLIP-e4e-colab

Colab Tutorial
https://youtu.be/g-vm_oCHWN8

Notes:
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## Anaconda3 Download:
https://www.anaconda.com/products/individual

## system variable CUDA 10.2 move to the very top

## CUDA 10.2 Toolkit download:
https://developer.nvidia.com/cuda-10.2-download-archive?target_os=Windows&target_arch=x86_64&target_version=10&target_type=exenetwork

conda create -n StyleCLIP python=3.7
conda activate StyleCLIP
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=10.2 -c pytorch

## for 30 series
conda install pytorch==1.7.1 torchvision==0.8.2 torchaudio==0.7.2 cudatoolkit=11.0 -c pytorch



pip install ftfy regex tqdm gdown
pip install opencv-python
pip install tensorflow-gpu==1.14
pip install matplotlib

pip install git+https://github.com/openai/CLIP.git

##cd to the right file directory

https://nvlabs-fi-cdn.nvidia.com/stylegan2/networks/stylegan2-ffhq-config-f.pkl
##move to model directory and rename it to ffhq.pkl


cd global
python GetCode.py --dataset_name ffhq --code_type w
# builds W.npy
python GetCode.py --dataset_name ffhq --code_type s
# builds S
python GetCode.py --dataset_name ffhq --code_type s_mean_std

# use colab to obtain the corresponding e4e latent.pt
# input image inside data/ffhq
# corresponding latent space file in

python GetGUIData.py --dataset_name ffhq --real


python PlayInteractively.py --dataset_name ffhq
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Related video for info/explanation
https://youtu.be/d1OET63Ulwc

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