| --- |
| tags: |
| - world-model |
| - image-generation |
| - game |
| - diffusers |
| library_name: diffusers |
| --- |
| |
| # Super Mario 64 Oasis Model |
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| An action-conditioned visual world model for experimenting with Super Mario 64-style gameplay in the **Game Oasis Player**. Starting from a compatible gameplay screenshot, the model predicts the next visual frame from player input. |
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| ## Controls |
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| The trained controls are: |
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| - **W/A/S/D** — movement |
| - **Space** — jump |
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| The checkpoint uses format version 4, a 256×144 frame size, and 39 input channels. It was trained through 65 completed epochs. |
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| ## Download and play |
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| The easiest option is to open Game Oasis Player, select **Super Mario 64 Oasis Model**, and click **Download & Install Model**. The player downloads and validates this repository automatically. |
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| For a manual installation, download the repository and select its folder using **Add Model from ZIP or Folder**. Keep this layout intact: |
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| ```text |
| action_flow_model_info.json |
| unet/ |
| config.json |
| diffusion_pytorch_model.safetensors |
| ``` |
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| Use a clear 16:9 gameplay screenshot from the same game and visual style as the starting image. A CUDA-capable NVIDIA GPU is strongly recommended. |
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| ## Limitations |
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| This is an experimental, short-horizon visual world model. It generates the next view; it is not an emulator, game engine, ROM, or connection to a game server. It does not provide reliable game logic, persistent maps, inventory state, multiplayer, or deterministic physics. Visual drift and inconsistent geometry can accumulate over time. |
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| This is an unofficial fan research project and is not affiliated with or endorsed by Nintendo. |
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