EveryDream2trainer/doc/SETUP.md

For Runpod/Vast instructions see Cloud Setup

For Google Colab see Train_Colab.ipynb

Install Python

Install Python 3.10 from here if you do not already have Python 3.10.x installed.

https://www.python.org/downloads/release/python-3109/

https://www.python.org/ftp/python/3.10.9/python-3.10.9-amd64.exe

Download and install Git from git-scm.com.

or Git for windows

Make sure Python 3.10 shows on your command window:

python --version

You should see Python 3.10.something. 3.10.5, 3.10.9, etc. It needs to be 3.10.x.

If you have Python 3.10.x installed but your command window shows another version (3.8.x, 3.9.x) ask for assistance in the discord. ...or you can try setting the path to the 310 binaries before running the windows_setup.cmd if you know what you're doing.

SET PYTHON=C:\Python310\python.exe

(you'll have to locate python 310 on your system on your own if you)

Clone this repo

Clone the repo from normal command line then change into the directory:

git clone https://github.com/victorchall/EveryDream2trainer

Then change into the folder:

cd EveryDream2trainer

Windows

While still in the command window, run windows_setup.cmd to create your venv and install dependencies.

windows_setup.cmd

Double check your python version again after setup by running these two commands:

activate_venv.bat
python --version

Again, this should show 3.10.x

Local docker container

    docker compose up

And you can either get a shell via:

    docker exec -it everydream2trainer-docker-everydream2trainer-1 /bin/bash

Or go to your browser and hit http://localhost:8888. The web password is test1234 but you can change that in docker-compose.yml.

Your current source directory will be moutned to the Jupyter notebook.

Local Linux install

• Make sure Linux Nvidia driver is up to date and working. Check that nvidia-smi is working and shows your GPU.
  How to update your driver may depend on the Linux distribution you use. For Ubuntu, use Gnome and open Softwrae & Updates, go to the additional drivers tab and select Using NVIDIA driver metapackage from nvidia-driver-530 (proprietary). Currently 530 is the latest version, but you can use latest at your time of install. You will need to use the proprietary driver.
• Install Cuda 11.8. You can use https://developer.nvidia.com/cuda-11-8-0-download-archive?target_os=Linux&target_arch=x86_64&Distribution=Ubuntu&target_version=22.04&target_type=deb_local for Ubuntu 22.04 for instance. Your install may vary depending on Linux distribution
• git clone https://github.com/victorchall/EveryDream2trainer
• cd EveryDream2trainer
• python3 -m venv venv
• source venv/bin/activate
• pip install -r requirements.txt

If you are savvy you can configure your own conda environment as well using roughly the above but using a conda env instead of venv.