---
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](https://huggingface.co/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](https://huggingface.co/Wan-AI/Wan2.2-TI2V-5B-Diffusers).

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).