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How to install junyanz/pytorch-CycleGAN-and-pix2pix. Official installation instructions. Project installation guide. Framework or library installation. Build installation instructions. How to setup and install from GitHub. Installation steps and setup instructions. Official docs and installation instructions GitHub.
junyanz/pytorch-CycleGAN-and-pix2pix Installation Guide
How to install junyanz/pytorch-CycleGAN-and-pix2pix. Official project installation instructions and setup guide.
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Automated Install (Recommended)
Quick installation instructions for junyanz/pytorch-CycleGAN-and-pix2pix. This is the fastest way to complete project installation and setup.
Install via curl
curl -fsSL https://hexmos.com/ipm-install | bash &&
ipm i junyanz/pytorch-CycleGAN-and-pix2pixor
Install via npx
npx @hexmos/ipm i junyanz/pytorch-CycleGAN-and-pix2pixPrerequisites
python
libraryVersion: >=3.6.0
pytorch
libraryVersion: 1.13.1
torchvision
libraryVersion: 0.12.0
git
system_toolVersion: 2.34.1
numpy
libraryVersion: 1.25.0
Manual Installation Methods
Manual installation instructions. How to install from GitHub source.
Pip Installation (Recommended)
git clone https://github.com/junyanz/pytorch-CycleGAN-and-pix2pix.git
cd pytorch-CycleGAN-and-pix2pixSource Installation (Manual)
cd pytorch_cyclegan_and_pix2pixSource Installation (Manual)
cd pytorch_cyclegan_and_pix2pixPost Installation Steps
- Load the model using `import torch` and `from transformers import AutoModelForImageToImage`
- Run inference on a sample image with `model.predict(image)`
- .