metadata
license: other
library_name: motius
tags:
- motion-generation
- text-to-motion
- humanml3d
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")