Awesome

kohya_ss-docker

This is the tandem repository to exploit on linux the kohya_ss training webui converted to Linux.

Read the data sections for wheels and packages prior to compiling the image or IT WILL FAIL.

Google collab version

Here is the OFFICIAL Google Collab implementation:

• https://gist.github.com/martinobettucci/545adb371fcc6a72e8a72e66eae482dc

Offline on your own hardware version

Compile Tensorflow and XFormer for your architecture (OPTIONNAL)

There is a dockerised package of Stable Diffusion AUTOMATIC1111 we maintains here: Stable Diffusion AUTOMATIC1111 P2Enjoy Docker Version.
You may find the profiles to compile tensorflows and xformers there althought there is no (yet) any public instructions on how-to do so: you're free to try to figure it out by yourself or patiently wait until we will find the time to make a guide.

Nvidia Docker Extensions (MANDATORY)

You will need the docker nvidia extensions, please refer to the installations details here: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/install-guide.html#setting-up-nvidia-container-toolkit

TK and Xorgs (RECOMMENDED)

Remember to allow docker hosts to clients to your X server.

# Somewhat unsecure way to do (I take no responsability if you do this way).
# You should add the exact host but I leave that to you.
xhost local:docker

Let the magic happens

Once you have built the container, you can pretty just run it via the docker compose --profile kohya up --build and wait for the build to finish.
A message should notify the build is complete and you can access the gui via the link on the console.

kohya-docker-kohya-1  | Running on local URL:  http://127.0.0.1:7680

Happy training on Linux!!!