Other
Transformers
Safetensors
ldf_motion
feature-extraction
text-to-motion
motion-generation
diffusion-forcing
humanml3d
computer-animation
custom_code
Instructions to use ShandaAI/FloodDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ShandaAI/FloodDiffusion with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ShandaAI/FloodDiffusion", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| # Python cache | |
| __pycache__/ | |
| *.py[cod] | |
| *$py.class | |
| *.so | |
| .Python | |
| # Virtual environments | |
| venv/ | |
| env/ | |
| ENV/ | |
| .venv | |
| # PyTorch/Model cache | |
| *.pth~ | |
| *.safetensors~ | |
| checkpoint/ | |
| checkpoints/ | |
| # Hugging Face cache | |
| .cache/ | |
| huggingface_cache/ | |
| # Generated outputs | |
| outputs/ | |
| generated_motions/ | |
| *.npy | |
| *.pkl | |
| # IDE | |
| .vscode/ | |
| .idea/ | |
| *.swp | |
| *.swo | |
| *~ | |
| # OS | |
| .DS_Store | |
| Thumbs.db | |
| # Jupyter | |
| .ipynb_checkpoints/ | |
| *.ipynb | |
| # Logs | |
| *.log | |
| logs/ | |
| wandb/ | |
| # Test outputs | |
| test_output/ | |
| test_results/ | |
| tmp/ | |