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Running on Zero
| title: FlowWAM | |
| emoji: 🌊 | |
| colorFrom: pink | |
| colorTo: indigo | |
| sdk: gradio | |
| sdk_version: 6.20.0 | |
| app_file: app.py | |
| short_description: Predict future RGB video + optical flow from an image | |
| python_version: "3.10" | |
| startup_duration_timeout: 1h | |
| # FlowWAM | |
| Interactive demo of **FlowWAM: Optical Flow as a Unified Action Representation | |
| for World Action Models**. | |
| A single dual-stream video diffusion model (built on Wan2.2-TI2V-5B) jointly | |
| predicts a **future RGB video** and its **optical-flow field** from one input | |
| image and a short text instruction. | |
| - Paper: https://huggingface.co/papers/2607.13017 | |
| - Code: https://github.com/YixiangChen515/FlowWAM | |
| - Weights: https://huggingface.co/YixiangChen/FlowWAM | |