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
| { | |
| "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" | |
| } | |
| } | |