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As of Oct 13, Linzhan Mou and coauthors released UniMate checkpoints on Hugging Face: a text-conditioned flow-matching transformer that animates skeletons of any topology—animals, humanoids and rigged objects—from an English prompt plus the skeleton's T-pose, hierarchy and joint names.
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UniMate generates text-conditioned motion for skeletons of any topology (SIGGRAPH Asia 2026)
Hugging Face @Linzhan published this on Oct 13, 2026 (source: huggingface.co).
Linzhan Mou and coauthors released UniMate checkpoints on Hugging Face: a text-conditioned flow-matching transformer that animates skeletons of any topology—animals, humanoids and rigged objects—from an English prompt plus the skeleton's T-pose, hierarchy and joint names. The recommended UniML3D v3 graph-attention model and a cross-attention variant output 60 frames at 30 fps for 5–70 joints; Mixamo- and Truebones-specialized builds are included. Weights are CC BY-NC 4.0. An unofficial mlx-community Apple Silicon BF16 build of the cross-attention variant is also available.
Source: Hugging Face @Linzhan
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