README.md

---
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.

```python
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](https://github.com/ZeyuLing/Motius/blob/main/docs/model_zoo/motionclr.md)
for evaluation and representation details.

MotionCLR remains under the included IDEA License 1.0. Original source:
https://github.com/IDEA-Research/MotionCLR

## Direct Loading

```python
from motius import Pipeline

pipeline = Pipeline.from_pretrained("ZeyuLing/motius-motionclr-humanml3d")
```