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motius-motionclr-humanml3d
ZeyuLing/motius-motionclr-humanml3d
motius-motionclr-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. The card lists the license as other.
This repository packages the official MotionCLR HumanML3D checkpoint as a self-contained Motius artifact. It includes the denoising network, frozen OpenAI CLIP ViT-B/32 text encoder, HumanML3D statistics, source revis…
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Updated Jul 25, 2026
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At a glance
- Library
- motius
- License
- other
- Access
- Public
- Created
- Jul 14, 2026
- Updated
- Jul 25, 2026
- SHA
- 1fa947df
Model card
From the Hugging Face model README
MotionCLR HumanML3D for Motius
This repository packages the official MotionCLR HumanML3D checkpoint as a self-contained Motius artifact. It includes the denoising network, frozen OpenAI CLIP ViT-B/32 text encoder, HumanML3D statistics, source revision, and license attribution.
from motius.pipelines.motionclr import MotionCLRPipeline
pipe = MotionCLRPipeline.from_pretrained(
"ZeyuLing/motius-motionclr-humanml3d",
device="cuda",
)
motion = pipe.infer_t2m(
["a person walks forward and waves"],
[120],
)[0]
The output is an unnormalized (T, 263) HumanML3D motion at 20 fps. See the
Motius MotionCLR model card
for evaluation and representation details.
MotionCLR remains under the included IDEA License 1.0. Original source: https://github.com/IDEA-Research/MotionCLR
Direct Loading
from motius import Pipeline
pipeline = Pipeline.from_pretrained("ZeyuLing/motius-motionclr-humanml3d")
- Library
- motius
- License
- other
- Created
- Jul 14, 2026
- Updated
- Jul 25, 2026