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
- Xet hash:
- ab9e3c368e4c21d1756d56083092064b77c695b3602bcc54ebdb0db7b943e339
- Size of remote file:
- 70 MB
- SHA256:
- 5a40164154c476309ff952a4b7563750b7e76fbdd8d263ec261ad877cf452e7b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.