Instructions to use CompVis/WhatMoves with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Wan2.2
How to use CompVis/WhatMoves with Wan2.2:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
File size: 782 Bytes
31820f6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"format": "whatmoves_wan_motion_adapter",
"format_version": 1,
"variant": "gated_static_step600000",
"base_model_id": "Wan-AI/Wan2.2-I2V-A14B",
"what_moves_checkpoint": "what_moves/gated_static_step600000.pt",
"adapter_checkpoint": "wan/gated_static_step600000/adapter_step30500.pt",
"what_moves_training_step": 600000,
"adapter_training_step": 30500,
"adapter_local_step": 7500,
"adapter_checkpoint_step_offset": 23000,
"lora_rank": 128,
"lora_alpha": 64,
"motion_dim": 384,
"content_dim": 512,
"sha256": {
"what_moves/gated_static_step600000.pt": "2e8eccc2f70e5535b58e8ccd15ef4a6ea8a43952e0e787abf772c0274890d844",
"wan/gated_static_step600000/adapter_step30500.pt": "aa58ae40ad789a2f37c6ca9bd3e761123ea17036082384eb445f7be9d1b68e8c"
}
}
|