Motius ProjFlow HumanML3D

Self-contained Motius artifact for ProjFlow, using the released ACMDM Raw Flow S PatchSize22 motion prior. It bundles the motion model, OpenAI CLIP ViT-B/32 tensors, and official joint statistics, so runtime inference does not clone or import the upstream repository.

from motius import Pipeline

pipe = Pipeline.from_pretrained(
    "ZeyuLing/motius-projflow-humanml3d",
    bundle_kwargs={"device": "cuda"},
)

completed = pipe.infer_temporal_motion_completion(
    source_motion,
    generation_mask=generation_mask,
    captions=["a person walks forward"],
)

controlled = pipe.infer_kinematic_motion_control(
    ["a person follows the supplied path"],
    source_motion,
    control_mode="trajectory",
    joint_indices=[0],
    axes="xyz",
)

part_controlled = pipe.infer_part_level_motion_control(
    ["a person walks while following the wrist path"],
    source_motion,
    control_mode="dense",
    joint_indices=[20],
    axes="xyz",
)

The native motion representation is world-space HumanML3D SMPL-22 joint positions with shape (T, 22, 3), metric units, Y up, and 20 fps. ProjFlow supports at most 196 frames. model_index.json declares the trusted local Motius pipeline and every required artifact file.

The complete Motius Model Card contains one rendered demo per task, the motion representation contract, and the published 4,012-case Temporal Motion Completion benchmark.

Provenance

The upstream repository did not include a repository-level license file at the audited revision. Review the upstream terms before redistribution or commercial use. OpenAI CLIP retains its own license and attribution.

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Model size
39.1M params
Tensor type
F32
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Paper for ZeyuLing/motius-projflow-humanml3d