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ZeyuLing/motius-prism-kt-humanml3d
motius-prism-kt-humanml3d is a machine learning model from ZeyuLing. 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 motius.
This repository contains the self-contained PRISM-KT checkpoint used by Motius. PRISM represents motion as a time-by-body latent grid and generates it with a Kinematic-Unit Flow Transformer. This variant uses kinemati…
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Updated Jul 25, 2026
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From the Hugging Face model README
This repository contains the self-contained PRISM-KT checkpoint used by Motius. PRISM represents motion as a time-by-body latent grid and generates it with a Kinematic-Unit Flow Transformer. This variant uses kinematic-tree-derived KT-RoPE and enables the depth-driven KAFS inference schedule by default.
The artifact includes KU-FlowT, the causal Motion VAE, T5 tokenizer and text encoder, scheduler, motion statistics, and Motius metadata. Its native output is 138D SMPL-H body-22 motion at 30 fps. The VAE runs in fp32; KU-FlowT and T5 may run in bf16.
from motius.pipelines.prism import PRISMPipeline
pipe = PRISMPipeline.from_pretrained(
"ZeyuLing/motius-prism-kt-humanml3d",
bundle_kwargs={"device": "cuda"},
)
result = pipe.text_to_motion(
"a person walks forward and waves with the right hand",
num_frames=129,
seed=42,
)
Fixed selected-caption protocol, 20-repeat means:
| Evaluator | Samples | R@1 | R@2 | R@3 | FID | MM-Dist | Diversity |
|---|---|---|---|---|---|---|---|
| HumanML3D Official | 3,970 | 0.5448 | 0.7308 | 0.8176 | 0.2081 | 2.9067 | 9.4802 |
| MotionStreamer | 4,042 | 0.7408 | 0.8619 | 0.9050 | 19.9682 | 15.8072 | 27.2536 |
See the full PRISM model card for TP2M, physical diagnostics, representation details, and citation.
from motius import Pipeline
pipeline = Pipeline.from_pretrained("ZeyuLing/motius-prism-kt-humanml3d")