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update linux instal doc

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Victor Hall 2023-06-14 15:53:36 -04:00
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doc/SETUP.md
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@ -66,15 +66,33 @@ Your current source directory will be moutned to the Jupyter notebook.
## Local Linux install
### Preinstallation
* Make sure you have python3.10 installed. Often this is `python3` so check with `python3 -V`
* 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.
Steps to update the 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
* Install Cuda 11.8. You can use this link for Ubuntu: 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, make sure to select appropriate options.
* Most problems arise from improper driver or cuda install and will not successfully run `nvidia-smi` (various errors like `command not found` or `driver mismatch`). Make sure `nvidia-smi` runs and prints your GPU information before continuing.
* Install git with `sudo apt-get git`
* Suggested: Enable git lfs support, follow instructions: https://github.com/git-lfs/git-lfs/blob/main/INSTALLING.md
* Optional: Enable remote desktop and/or SSH (see instructions for your distribution)
* Optional if you'd rather use conda instead of VENV: Install miniconda, `wget` the appropriate bash script then run it: https://docs.conda.io/en/latest/miniconda.html#linux-installers
### ED2 setup
* `git clone https://github.com/victorchall/EveryDream2trainer`
* `cd EveryDream2trainer`
* `python3 -m venv venv`
* `source venv/bin/activate`
At this point `python -V` should return 3.10 and `which python` should return something like `/home/username/EveryDream2trainer/venv/bin/python` so you can just use `python` to run instead of `python3` if you like. YMMV based on distribution.
* `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.
Should be good to go.
Conda should be something like this (untested)
* `git clone https://github.com/victorchall/EveryDream2trainer`
* `cd EveryDream2trainer`
* `conda create --name ed2 python=3.10`
* `conda activate ed2`
* `pip install -r requirements.txt`