Instructions to use jadechoghari/vfusion3d with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jadechoghari/vfusion3d with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("jadechoghari/vfusion3d", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Contributing to PoseDiffusion
We want to make contributing to this project as easy and transparent as possible.
Pull Requests
We actively welcome your pull requests.
- Fork the repo and create your branch from
main. - If you've added code that should be tested, add tests.
- If you've changed APIs, update the documentation.
- Ensure the test suite passes.
- Make sure your code lints.
- If you haven't already, complete the Contributor License Agreement ("CLA").
Contributor License Agreement ("CLA")
In order to accept your pull request, we need you to submit a CLA. You only need to do this once to work on any of Facebook's open source projects.
Complete your CLA here: https://code.facebook.com/cla
Issues
We use GitHub issues to track public bugs. Please ensure your description is clear and has sufficient instructions to be able to reproduce the issue.
Facebook has a bounty program for the safe disclosure of security bugs. In those cases, please go through the process outlined on that page and do not file a public issue.
License
By contributing to PoseDiffusion, you agree that your contributions will be licensed under the LICENSE file in the root directory of this source tree.