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license: cc0-1.0 |
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# Jasmine Diffusion Checkpoint |
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Pretrained **diffusion-based world model** from the [Jasmine](https://github.com/p-doom/jasmine) codebase. |
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Trained on the **CoinRun** dataset for action-conditioned video generation using the **diffusion-forcing** objective (Chen et al., 2024). |
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### Model Details |
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- **Architecture:** ST-DiT (spatio-temporal diffusion transformer) |
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- **Input:** 16-frame sequences (64×64) + latent actions |
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- **Training Environment:** [CoinRun (Cobbe et al., 2020)](https://huggingface.co/datasets/p-doom/coinrun-dataset) |
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- **Objective:** Diffusion forcing (x-prediction) |
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