Image-to-Video
video
world-model
interactive-world-model
lora
diffusion
action-conditioning
game-world-model
Instructions to use DANNY621/H3-World with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Inference
- Notebooks
- Google Colab
- Kaggle
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# 🎮 H3-World: Turning Language Understanding into World Control
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H3-World is the **first interactive world model** built on [MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3). Given an initial frame and keyboard controls, it generates action-controlled video with coordinated character and camera motion.
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H3-World converts keyboard states into one language instruction per future video latent and uses directed attention routing to bind each instruction to its corresponding latent interval. Using 8,000 gameplay clips from [ABot-World-Explorer-500h](https://huggingface.co/datasets/acvlab/ABot-World-Explorer-500h), it learns 65.6M LoRA parameters, only 0.199% of the 33B MiniMax-H3 backbone.
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# 🎮 H3-World: Turning Language Understanding into World Control
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<img src="teaser.png" alt="H3-World teaser" width="100%">
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H3-World is the **first interactive world model** built on [MiniMax-H3](https://huggingface.co/MiniMaxAI/MiniMax-H3). Given an initial frame and keyboard controls, it generates action-controlled video with coordinated character and camera motion.
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H3-World converts keyboard states into one language instruction per future video latent and uses directed attention routing to bind each instruction to its corresponding latent interval. Using 8,000 gameplay clips from [ABot-World-Explorer-500h](https://huggingface.co/datasets/acvlab/ABot-World-Explorer-500h), it learns 65.6M LoRA parameters, only 0.199% of the 33B MiniMax-H3 backbone.
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