Instructions to use lightx2v/microduck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Microduck
How to use lightx2v/microduck with Microduck:
# Replace SLOT with the slot specified in the model card (walk, stand, sitstand, ground_pick, kick_left, kick_right, roulade). sudo robotctl policy load SLOT lightx2v/microduck
- Notebooks
- Google Colab
- Kaggle
Download model-files.lock.json from lightx2v/microduck: direct link, hf CLI and curl.
- Browser
- Download file 2.41 kB
-
https://huggingface.co/lightx2v/microduck/resolve/main/model-files.lock.json
- Command line
-
hf download hf://lightx2v/microduck/model-files.lock.json
-
curl -L -o model-files.lock.json https://huggingface.co/lightx2v/microduck/resolve/main/model-files.lock.json
2.41 kB
| { | |
| "schema": "microduck_fastwam_inference_files_v1", | |
| "model_id": "clear-room-realtime-control-pilot-v1-step250", | |
| "public_backbone": { | |
| "repo": "Wan-AI/Wan2.2-TI2V-5B", | |
| "revision": "921dbaf3f1674a56f47e83fb80a34bac8a8f203e" | |
| }, | |
| "files": { | |
| "models/microduck/model.pt": { | |
| "bytes": 12042063744, | |
| "sha256": "8ea7793290f0a22bff56ec4e44168232564ec5d57a9e21515a8a8c4a989114ea", | |
| "distribution": "published_microduck" | |
| }, | |
| "models/microduck/navigation_checkpoint.json": { | |
| "bytes": 4148, | |
| "sha256": "8e08e832159d58a78d88942db8b9ee6683b944d2256938d69271643f5b716d12", | |
| "distribution": "published_microduck" | |
| }, | |
| "models/microduck/dataset_stats.json": { | |
| "bytes": 27434, | |
| "sha256": "f8805f43eeba0dc79daa30481e96e6721c41f9c5eb6e24b37798d5c0719c0b87", | |
| "distribution": "published_microduck" | |
| }, | |
| "models/Wan2.2-TI2V-5B/config.json": { | |
| "bytes": 251, | |
| "sha256": "d1fea36899d00c2501b836c13ad65af56e2f9529ba622e50886d3f5c3e6c02bc", | |
| "distribution": "public_backbone" | |
| }, | |
| "models/Wan2.2-TI2V-5B/Wan2.2_VAE.pth": { | |
| "bytes": 2818839170, | |
| "sha256": "20eb789667fa5e60e7516bf509512f6cb61f01b0aa0695eadaea930c13892b36", | |
| "distribution": "public_backbone" | |
| }, | |
| "models/Wan2.2-TI2V-5B/models_t5_umt5-xxl-enc-bf16.pth": { | |
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| "distribution": "public_backbone" | |
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| "models/Wan2.2-TI2V-5B/google/umt5-xxl/spiece.model": { | |
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| "models/Wan2.2-TI2V-5B/google/umt5-xxl/tokenizer.json": { | |
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| "distribution": "public_backbone" | |
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| "models/Wan2.2-TI2V-5B/google/umt5-xxl/tokenizer_config.json": { | |
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| "sha256": "ed9a3a8b0faa71a70a32847e0435fe036e6e112d4df4edb7bb48a921e344dc05", | |
| "distribution": "public_backbone" | |
| } | |
| }, | |
| "bundle_repository": "lightx2v/microduck" | |
| } | |