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README.md

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+---
+license: mit
+tags:
+- diffusion
+- world-models
+- video-generation
+- carracing
+- reinforcement-learning
+- pytorch
+---
+
+# Interactive Diffusion: A Playable World Model
+
+This repository hosts the trained model weights and sample data for the project [**Demystifying World Models: A Playable Diffusion Model**](https://github.com/nlml/interactive-diffusion).
+
+- **GitHub Repository**: [nlml/interactive-diffusion](https://github.com/nlml/interactive-diffusion)
+- **Blog Post**: [A Playable Diffusion Model](https://github.com/nlml/interactive-diffusion/blob/main/post.md)
+
+## Contents
+
+- `model.pt`: 145 MB checkpoint (optimizer stripped) of the `CausalSpatiotemporalDiT` trained with context noise augmentation (50,000 steps).
+- `sample_data/`: Sample shard 0 of `CarRacing-v3` gameplay frames, actions, and episode masks to test training or rollout generation out of the box.
+
+## Quickstart
+
+Clone the GitHub repository and run the live driving server:
+
+```bash
+git clone https://github.com/nlml/interactive-diffusion.git
+cd interactive-diffusion
+pip install -e .
+
+# Run the live interactive driving server:
+python webapp/server.py --checkpoint nlml/interactive-diffusion --data_dir ./carracing_data
+```