Docker image for Kohya_ss

Installs

• Ubuntu 22.04 LTS
• CUDA 11.8
• Python 3.10.12
• Torch 2.0.1
• xformers 0.0.20
• Kohya_ss v21.8.8

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

• Linux
• Windows

Start the Docker container

docker run -d \
  --gpus all \
  -v /workspace \
  -p 3000:3001 \
  -p 8888:8888 \
  -e JUPYTER_PASSWORD=Jup1t3R! \
  ashleykza/kohya:1.2.0

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

Acknowledgements

1. RunPod for providing most of the container code.
2. Dr. Furkan Gözükara for his amazing YouTube videos.
3. Bernard Maltais (core developer of Kohya_ss) for assisting with optimizing the Docker image.

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 Serverless worker to RunPod on the RunPod Discord Server below, my username is ashleyk.

Appreciate my work?