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  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).
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  - **GitHub Repository**: [nlml/interactive-diffusion](https://github.com/nlml/interactive-diffusion)
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- - **Blog Post**: [A Playable Diffusion Model](https://github.com/nlml/interactive-diffusion/blob/main/post.md)
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  ## Contents
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  - `model.pt`: 145 MB checkpoint (optimizer stripped) of the `CausalSpatiotemporalDiT` trained with context noise augmentation (50,000 steps).
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- - `sample_data/`: Sample shard 0 of `CarRacing-v3` gameplay frames, actions, and episode masks to test training or rollout generation out of the box.
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  ## Quickstart
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  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).
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+ - **Blog Post**: [A Playable Diffusion Model](https://nlml.github.io/generative-models/interactive-diffusion-1/)
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  - **GitHub Repository**: [nlml/interactive-diffusion](https://github.com/nlml/interactive-diffusion)
 
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  ## Contents
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  - `model.pt`: 145 MB checkpoint (optimizer stripped) of the `CausalSpatiotemporalDiT` trained with context noise augmentation (50,000 steps).
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+ - `sample_data/`: Sample shard 0 (`shard_00000_*`) containing gameplay frames, actions, and valid episode masks collected from `CarRacing-v3`.
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  ## Quickstart
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