/runpod-images

Primary LanguageShellGNU General Public License v3.0GPL-3.0

Docker image for Enfugue: Webapp for creating studio-grade AI-generated images and video on desktop or server.

Installs

Available on RunPod

This image is designed to work on RunPod. You can use my custom RunPod template to launch it on RunPod.

Running Locally

Install Nvidia CUDA Driver

Start the Docker container

docker run -d \
  --gpus all \
  -v /workspace \
  -p 3000:3001 \
  -p 8888:8888 \
  -e JUPYTER_PASSWORD=Jup1t3R! \
  ceramicwhite/enfugue-docker:latest

You can obviously substitute the image name and tag with your own.

Ports

Connect Port Internal Port Description
3000 3001 Enfugue
8888 8888 Jupyter Lab

Environment Variables

Variable Description Default
JUPYTER_PASSWORD Password for Jupyter Lab Jup1t3R!
DISABLE_AUTOLAUNCH Disable Web UIs from launching automatically (not set)
PRESET Enfugue Preset (anime/realistic) (not set)

Logs

Enfugue creates a log file, and you can tail the log instead of killing the service to view the logs.

Application Log file
Enfugue /workspace/logs/Enfugue.log

For example:

tail -f /workspace/logs/Enfugue.log

Community and Contributing

Pull requests and issues on GitHub are welcome. Bug fixes and new features are encouraged.

You can contact me and get help with deploying your container to RunPod on the RunPod Discord Server below, my username is ashleyk.