EveryDream2trainer/doc/CLOUD_SETUP.md

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RunPod

The simplest approach for RunPod is to use the EveryDream2 template to load a fully configured docker image. If you wish to sign up for Runpod, please consider using this referral link to help support the project.

JupyterLab

JupterLab will run on the pod by default. When opening JupyterLab [Port 8888] you will be prompted for a password. The default password is EveryDream. This can be changed by editing the pod's environment variables.

SSH

You can also enable full SSH support by setting the PUBLIC_KEY environment variable

Tensorboard

Tensorboard will run automatically, and can be viewed on [Port 6006]

Vast

The EveryDream2 docker image is also compatible with vast.ai.

ghcr.io/victorchall/everydream2trainer:main

JupyterLab

You can enable JupyterLab as part of the Vast.ai instance configuration. No JupyterLab password is required.

Tensorboard

You can specify tensorboard to run at startup as part of your instance config.

Open the tensorboard port via docker tensorboard --logdir /workspace/EveryDream2trainer/logs --host 0.0.0.0 &

Config Config

Once your instance is up and running

Run the Train_JupyterLab.ipynb notebook