Other
Transformers
Safetensors
ldf_motion
feature-extraction
text-to-motion
motion-generation
diffusion-forcing
humanml3d
computer-animation
custom_code
Instructions to use AlayaLab/FloodDiffusionTiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlayaLab/FloodDiffusionTiny with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlayaLab/FloodDiffusionTiny", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
| # Core dependencies | |
| torch>=2.0.0 | |
| transformers>=4.30.0 | |
| huggingface_hub>=0.16.0 | |
| safetensors>=0.3.0 | |
| diffusers>=0.20.0 | |
| # Inference | |
| lightning>=2.0.0 | |
| ftfy | |
| # Configuration | |
| omegaconf | |
| # Utilities | |
| numpy | |
| # Note: flash-attn is required but needs special installation | |
| # See README.md for installation instructions | |