Instructions to use Cloth-splatters/unfolding-dynamics-gns with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Cloth-splatters/unfolding-dynamics-gns with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Cloth-splatters/unfolding-dynamics-gns", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files
model/config.json
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{
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"_class_name": "GNSDynamicsModel",
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"_diffusers_version": "0.37.0",
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"dt": 0.1,
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"edge_input_size": 4,
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"hidden_size": 128,
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"input_sequence_length": 1,
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"message_passing_num": 15,
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"nnode_types": 2,
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"node_input_size": 5,
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"position_noise_std": 0.0001,
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"velocity_noise_std": 0.0
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}
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model/diffusion_pytorch_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:ff201a5ed15bb8839f678e5f61dcbcbfd9830b22b7c88dcef41dd0a9604a6cd5
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size 11547132
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