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
Runs of silencer107 DontGet on huggingface.co
0
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
0
30-day runs
More Information About DontGet huggingface.co Model
DontGet huggingface.co
DontGet huggingface.co is an AI model on huggingface.co that provides DontGet's model effect (), which can be used instantly with this silencer107 DontGet model. huggingface.co supports a free trial of the DontGet model, and also provides paid use of the DontGet. Support call DontGet model through api, including Node.js, Python, http.
DontGet huggingface.co is an online trial and call api platform, which integrates DontGet's modeling effects, including api services, and provides a free online trial of DontGet, you can try DontGet online for free by clicking the link below.
silencer107 DontGet online free url in huggingface.co:
DontGet is an open source model from GitHub that offers a free installation service, and any user can find DontGet on GitHub to install. At the same time, huggingface.co provides the effect of DontGet install, users can directly use DontGet installed effect in huggingface.co for debugging and trial. It also supports api for free installation.