---
license: other
tags:
  - motion-generation
  - flow-matching
---

# Motion flow demo — checkpoints

Weights and dataset statistics for the motion flow demo Space. Layout:

| path | what |
|---|---|
| `weights/rvq_vae_best.pt` | frozen RVQ-VAE (encoder + decoder) — required |
| `weights/latent_best.pt` | LFM, the latent flow model |
| `weights/direct_best.pt` | CDFM, the direct flow model — drives in-betweening, composition, keyframes |
| `weights/reflow_best.pt` | rectified student, usable at 1–4 steps |
| `assets/Mean.npy`, `assets/Std.npy`, `assets/rest_len.npy` | HumanML3D statistics — required |
| `assets/reference_clips.npz` | in-betweening reference clips |

`z_mean` / `z_std` travel inside each latent checkpoint: they are the statistics of the
RVQ-VAE latents as they stood when that model was trained, so a checkpoint loaded with the
wrong pair decodes to noise.

**No SMPL body model is included here.** SMPL is not redistributable; register at
[smpl.is.tue.mpg.de](https://smpl.is.tue.mpg.de) to obtain it.