XingangPan/DragGAN Installation Guide

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Automated Install (Recommended)

Quick installation instructions for XingangPan/DragGAN. This is the fastest way to complete project installation and setup.

curl -fsSL https://hexmos.com/ipm-install | bash && 
ipm i XingangPan/DragGAN

iwr https://hexmos.com/ipm-install-ps -UseBasicParsing | iex; 
ipm i XingangPan/DragGAN

npx @hexmos/ipm i XingangPan/DragGAN

language

Version: 3.8.0 or later

system_tool

For GPU acceleration, install the CUDA toolkit from NVIDIA's website.

library

Version: 1.13.0 or later

system_tool

For cloning the repository.

system_tool

To run the DragGAN GUI in Docker. Install from [https://docs.docker.com/get-docker/](https://docs.docker.com/get-docker/).

package_manager

Version: latest

conda env create -f environment.yml

conda activate stylegan3

pip install -r requirements.txt

docker build . -t draggan:latest

docker run -p 7860:7860 -v "$PWD":/workspace/src -it draggan:latest bash

sh scripts/gui.sh

python visualizer_drag_gradio.py --listen

Open the DragGAN Gradio demo by running `python visualizer_drag_gradio.py` in your terminal.
You can access the demo at http://localhost:7860/.