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metadata

title: RynnWorld-4D
emoji: 🌀
colorFrom: gray
colorTo: indigo
sdk: gradio
sdk_version: 6.20.0
app_file: app.py
short_description: 4D world model — synced RGB, depth & optical-flow video
python_version: '3.10'
startup_duration_timeout: 1h

RynnWorld-4D

Interactive demo of Alibaba-DAMO-Academy/RynnWorld-4D, a 4D embodied world model that generates synchronized RGB, depth, and optical-flow videos from a reference image + text prompt using a tri-branch diffusion transformer built on Wan2.2-TI2V-5B.

Pick one of the built-in samples (each is a reference-image latent + prompt validated by the authors), preview its reference frame, and generate the three aligned streams.

The inference path is a faithful port of the official inference-sft.py (fusion_mode=joint, 3D RoPE joint attention, frame-wise, layers 0–30 every 3).