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hannah-motion
Vanth-Labs/hannah-motion
hannah-motion is a machine learning model from Vanth-Labs. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for motionlab. The card lists the license as cc-by-nc-4.0.
The text-to-motion model behind Hannah, Vanth Labs' local AI assistant with a voice, a 3D body and hands. Given the sentence Hannah is about to say (plus its spoken duration and an emotion), it produces SMPL-X body mo…
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Updated Sep 6, 2026
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406 MB
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.pt406 MB · 100%
At a glance
- Library
- motionlab
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026
- SHA
- 80b16873
Model card
From the Hugging Face model README
Hannah motion model
The text-to-motion model behind Hannah, Vanth Labs' local AI assistant with a voice, a 3D body and hands. Given the sentence Hannah is about to say (plus its spoken duration and an emotion), it produces SMPL-X body motion (55 joints, axis-angle, 30 fps) so that every sentence gets its own body language instead of a looping idle animation.
Two stages, both in this repo:
| File | Stage | Size |
|---|---|---|
vae/latest.pt | Part-wise motion VAE (latent space) | 174 MB |
flow/latest.pt | Latent flow-matching DiT, conditioned on word-level T5 embeddings, emotion and a motion prefix | 213 MB |
Code, training scripts and the serving module: github.com/Vanth-Labs/motion-model
(pip install "motionlab[serve] @ git+https://github.com/Vanth-Labs/[email protected]",
then python -m motionlab.serve; the server downloads these weights on first start).
License and provenance
Trained on BEAT2 (co-speech mocap, CC BY-NC 4.0)
and evaluated with SMPL-X. These weights inherit that license: non-commercial use only.
The text encoder is a frozen flan-t5-base, pulled from the Hub at runtime.
Made by Vanth Labs, Lima, Peru. Questions: [email protected]
- Library
- motionlab
- License
- cc-by-nc-4.0
- Languages
- en
- Created
- Sep 6, 2026
- Updated
- Sep 6, 2026