| # 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 `requirements.txt` to add extra 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 -r requirements.txt -e .`, and then running `start_inference` | |