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thanks to Etched ❤

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  1. LICENSE +21 -0
  2. README.md +17 -0
  3. media/arch.png +0 -0
  4. media/thumb.png +0 -0
  5. oasis500m.pt +3 -0
  6. vit-l-20.pt +3 -0
LICENSE ADDED
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+ MIT License
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+
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+ Copyright (c) 2024 Etched & Decart
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in all
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+ copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
README.md ADDED
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+ ---
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+ license: mit
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+ ---
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+ # Oasis 500M
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+
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+ ![](./media/arch.png)
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+
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+ ![](./media/thumb.png)
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+
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+ Oasis is an interactive world model developed by [Decart](https://www.decart.ai/) and [Etched](https://www.etched.com/). Based on diffusion transformers, Oasis takes in user keyboard input and generates gameplay in an autoregressive manner. Here we release the weights for Oasis 500M, a downscaled version of the model, along with inference code for action-conditional frame generation.
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+ For more details, see our [joint blog post](https://oasis-model.github.io/) to learn more.
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+
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+ ## Run local inference
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+ To generate action-conditional video using the 500M model, please see the instructions on our [inference repo](https://github.com/etched-ai/open-oasis/tree/master)!
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+ And to use the most powerful version of the model, be sure to check out the [live demo](https://oasis.us.decart.ai/)!
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