Other
Transformers
Safetensors
ldf_motion
feature-extraction
text-to-motion
motion-generation
diffusion-forcing
humanml3d
computer-animation
custom_code
Instructions to use AlayaLab/FloodDiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AlayaLab/FloodDiffusion with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AlayaLab/FloodDiffusion", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download model.safetensors from AlayaLab/FloodDiffusion: direct link, hf CLI and curl.
- Browser
- Download file 455 MB
-
https://huggingface.co/AlayaLab/FloodDiffusion/resolve/main/model.safetensors
- Command line
-
hf download hf://AlayaLab/FloodDiffusion/model.safetensors
-
curl -L -o model.safetensors https://huggingface.co/AlayaLab/FloodDiffusion/resolve/main/model.safetensors
455 MB
- Xet hash:
- c74afa3c215a1d0577859d9ca8140bb86d76a3da348692362cc5dd6a809710c6
- Size of remote file:
- 455 MB
- SHA256:
- 6034bb8fad782741caa33eb785935e2d1543e881772dacdbe9292107ec45436e
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