FloodDiffusion2 is an open-weight model from CYY. Its published files total 29.3 GB.
Efficient and Path Controllable Streaming Motion Generation FloodDiffusion 2 supports continuous text-conditioned motion generation with Partial Attention, diffusion-compatible geometric supervision, and root-path control.
Model Card
Efficient and Path Controllable Streaming Motion Generation FloodDiffusion 2 supports continuous text-conditioned motion generation with Partial Attention, diffusion-compatible geometric supervision, and root-path control. This release includes six FD2 checkpoints and the paired 263D LDF/VAE models for first-generation compatibility. Each checkpoints/ / contains model.ckpt, a matching config.yaml, and normalization statistics under assets/. FD2 folders also include the quadratic FK matrix assets/W.npy. Checkpoints retain model, EMA, optimizer and scheduler state. Clone the code repository and run the following in a Python 3.10+ environment: The command installs Python requirements and…
Excerpt from the card by CYY.
Identity and Version
- Repository
- caiyiyi1998/FloodDiffusion2
- Publisher
- CYY
- Task
- Not stated by the source
- Modality
- Other
- Library
- pytorch
- Parameters
- Not stated by the source
- Languages
- en
- Revision
- e57eb9370e6f24d3895312b638a2c2933adc7d9b
- First published
- 2026-09-26
- Last updated
- 2026-09-27
Files and Weights
44 files, 29.3 GB in total. The weights are 8 files totalling 16.3 GB in ckpt.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| checkpoints/humanml3d_babel_fk_200k/model.ckpt | Weights | 2.3 GB | 216a6168daca |
| checkpoints/humanml3d_babel_path_200k/model.ckpt | Weights | 2.3 GB | d2e6a28baf6e |
| checkpoints/humanml3d_fk_60k/model.ckpt | Weights | 2.3 GB | d48332bcd88d |
| checkpoints/humanml3d_path_fk_55k/model.ckpt | Weights | 2.3 GB | ee1239ee5458 |
| checkpoints/ldf_263/model.ckpt | Weights | 2.3 GB | 94cc2ea9c0c2 |
| checkpoints/seed_fk_300k/model.ckpt | Weights | 2.3 GB | 15caeff8faaa |
| checkpoints/seed_path_fk_300k/model.ckpt | Weights | 2.3 GB | d60a085a2809 |
| checkpoints/vae_263/model.ckpt | Weights | 350.3 MB | b80ce00b538b |
| assets_manifest.json | Configuration | 10.8 KB | — |
| checkpoints/humanml3d_babel_fk_200k/config.yaml | Configuration | 4.4 KB | — |
| checkpoints/humanml3d_babel_path_200k/config.yaml | Configuration | 4.5 KB | — |
| checkpoints/humanml3d_fk_60k/config.yaml | Configuration | 3.8 KB | — |
| checkpoints/humanml3d_path_fk_55k/config.yaml | Configuration | 3.9 KB | — |
| checkpoints/ldf_263/config.yaml | Configuration | 4.6 KB | — |
| checkpoints/seed_fk_300k/config.yaml | Configuration | 3.7 KB | — |
| checkpoints/seed_path_fk_300k/config.yaml | Configuration | 3.8 KB | — |
| checkpoints/vae_263/config.yaml | Configuration | 2.6 KB | — |
| dependencies.json | Configuration | 1.8 KB | — |
| publication_manifest.json | Configuration | 12.7 KB | — |
| README.md | Documentation | 2.6 KB | — |
| checkpoints/humanml3d_babel_fk_200k/assets/Mean.npy | Other | 1.2 KB | bef8fea46b1c |
| checkpoints/humanml3d_babel_fk_200k/assets/Std.npy | Other | 1.2 KB | 041dee3a9e09 |
| checkpoints/humanml3d_babel_fk_200k/assets/W.npy | Other | 553.5 KB | 778981f8025d |
| checkpoints/humanml3d_babel_path_200k/assets/Mean.npy | Other | 1.2 KB | bef8fea46b1c |
| checkpoints/humanml3d_babel_path_200k/assets/Std.npy | Other | 1.2 KB | 041dee3a9e09 |
| checkpoints/humanml3d_babel_path_200k/assets/W.npy | Other | 540.9 KB | ebc7243c5185 |
| checkpoints/humanml3d_fk_60k/assets/Mean.npy | Other | 1.2 KB | bef8fea46b1c |
| checkpoints/humanml3d_fk_60k/assets/Std.npy | Other | 1.2 KB | 041dee3a9e09 |
| checkpoints/humanml3d_fk_60k/assets/W.npy | Other | 553.5 KB | 4a8411b10882 |
| checkpoints/humanml3d_path_fk_55k/assets/Mean.npy | Other | 1.2 KB | bef8fea46b1c |
| checkpoints/humanml3d_path_fk_55k/assets/Std.npy | Other | 1.2 KB | 041dee3a9e09 |
| checkpoints/humanml3d_path_fk_55k/assets/W.npy | Other | 540.9 KB | ebc7243c5185 |
| checkpoints/ldf_263/assets/Mean.npy | Other | 144 B | c8b1c3183972 |
| checkpoints/ldf_263/assets/Std.npy | Other | 144 B | a4234b3c2ca1 |
| checkpoints/seed_fk_300k/assets/Mean.npy | Other | 680 B | 98456f74f871 |
| checkpoints/seed_fk_300k/assets/Std.npy | Other | 680 B | 5ea97221c9a6 |
| checkpoints/seed_fk_300k/assets/W.npy | Other | 152.5 KB | d5c81bdf26ff |
| checkpoints/seed_path_fk_300k/assets/Mean.npy | Other | 680 B | 98456f74f871 |
| checkpoints/seed_path_fk_300k/assets/Std.npy | Other | 680 B | 5ea97221c9a6 |
| checkpoints/seed_path_fk_300k/assets/W.npy | Other | 145.9 KB | 0effaf2383a2 |
| checkpoints/vae_263/assets/Mean.npy | Other | 1.2 KB | bef8fea46b1c |
| checkpoints/vae_263/assets/Std.npy | Other | 1.2 KB | 041dee3a9e09 |
| deps.zip | Other | 13.0 GB | bd12f617474b |
| .gitattributes | Repository | 1.5 KB | — |
License and Download
- License
- Not stated by the source
- Access
- Open weights, no gate
- Download size
- 16.3 GB
Released by CYY through its official repository on Hugging Face.
Memory Requirements
| Precision | Weights in memory |
|---|---|
| As published | 16.3 GB |
Weights only, from the published parameter count; the key-value cache and runtime add to this.