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ZeyuLing/motius-flowmdm-babel
motius-flowmdm-babel 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. The card lists the license as other.
This repository packages the official FlowMDM BABEL checkpoint, BABEL-135 normalization statistics, and inference metadata for the Motius pipeline.
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Updated Jul 25, 2026
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From the Hugging Face model README
This repository packages the official FlowMDM BABEL checkpoint, BABEL-135 normalization statistics, and inference metadata for the Motius pipeline.
from motius.pipelines.flowmdm import FlowMDMPipeline
pipe = FlowMDMPipeline.from_pretrained(
"ZeyuLing/motius-flowmdm-babel",
bundle_kwargs={"device": "cuda"},
device="cuda",
)
motion = pipe.infer_sequential_t2m(
[["walk forward", "turn left", "sit down"]],
[[60, 45, 75]],
)[0]
The output is an unnormalized (T, 135) BABEL motion. See the
Motius FlowMDM model card
for representation, conversion, and evaluation details.
FlowMDM source and weights are redistributed under the license included in
LICENSE. Original project: https://github.com/BarqueroGerman/FlowMDM
from motius import Pipeline
pipeline = Pipeline.from_pretrained("ZeyuLing/motius-flowmdm-babel")