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
- Xet hash:
- 123831c362d03d3cc9d80134211465045dede699b4d512aaec34bc047a546b4c
- Size of remote file:
- 36.8 MB
- SHA256:
- 3528a345e2795f0b28343896515adc2c14746567896c66620852678ff8d43a79
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