edge-maxxing-newdream-sdxl

This holds the baseline for the SDXL Nvidia GeForce RTX 4090 contest, which can be forked freely and optimized

Some recommendations are as follows:

Installing dependencies should be done in pyproject.toml, including git dependencies
Compiled models should be included directly in the repository(rather than compiling during loading), loading time matters far more than file sizes
Avoid changing src/main.py, as that includes mostly protocol logic. Most changes should be in models and src/pipeline.py
Change install_args.txt to add pip install arguments to be used when installing the package

For testing, you need a docker container with pytorch and ubuntu 22.04, you can download your listed dependencies with pip install $(cat install_args.txt) -e ., and then running start_inference