MotionGlot
A Multi-Embodied Motion Generation Model
Generate human motion from descriptions or situational questions, and translate motion into text.
Upload .npy or JSON human features: [frames, 263]. Or use the selected example below.
First use downloads about 293 MB for generation. Captioning adds about 38 MB. A desktop browser with several GB of free memory is recommended. Models are cached when storage permits.
A person walks forward
Drag to orbit · scroll to zoom · motion playback only
A few starting points
Outputs from the released checkpointLanguage into human motion.
Generate a human motion from a description or a question, then explore it in 3D. Upload a human motion to get a caption. The released model runs locally in your browser. Prompts and uploaded motions stay on your device.
What you’re seeing
Human playback shows a 22-joint skeleton. Pause, scrub through frames, and orbit the camera to explore the motion.