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
Ressler-Antal commited on
Commit ·
31820f6
1
Parent(s): 83a8082
Add initial WhatMoves and Wan checkpoints
Browse files
wan/gated_static_step600000/adapter_step30500.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:aa58ae40ad789a2f37c6ca9bd3e761123ea17036082384eb445f7be9d1b68e8c
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size 2501508556
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wan/gated_static_step600000/metadata.json
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{
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"format": "whatmoves_wan_motion_adapter",
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"format_version": 1,
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"variant": "gated_static_step600000",
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"base_model_id": "Wan-AI/Wan2.2-I2V-A14B",
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"what_moves_checkpoint": "what_moves/gated_static_step600000.pt",
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"adapter_checkpoint": "wan/gated_static_step600000/adapter_step30500.pt",
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"what_moves_training_step": 600000,
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"adapter_training_step": 30500,
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"adapter_local_step": 7500,
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"adapter_checkpoint_step_offset": 23000,
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"lora_rank": 128,
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"lora_alpha": 64,
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"motion_dim": 384,
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"content_dim": 512,
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"sha256": {
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"what_moves/gated_static_step600000.pt": "2e8eccc2f70e5535b58e8ccd15ef4a6ea8a43952e0e787abf772c0274890d844",
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"wan/gated_static_step600000/adapter_step30500.pt": "aa58ae40ad789a2f37c6ca9bd3e761123ea17036082384eb445f7be9d1b68e8c"
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}
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}
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what_moves/gated_static_step600000.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e8eccc2f70e5535b58e8ccd15ef4a6ea8a43952e0e787abf772c0274890d844
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size 804171273
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