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README.md
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license: apache-2.0
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---
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license: apache-2.0
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datasets:
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- Zhoues/Goal-Drift-Dataset
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language:
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- en
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- zh
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# Model Card for VAR (Visual AutoRegressive) Transformers 🔥
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<!-- Provide a quick summary of what the model is/does. -->
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[![arXiv](https://img.shields.io/badge/arXiv%20papr-2403.12037-b31b1b.svg)](https://arxiv.org/abs/2403.12037)
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[![project page](https://img.shields.io/badge/Play%20with%20MineDreamer%21-MineDreamer%20project%20page-lightblue)](https://sites.google.com/view/minedreamer/main)
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MineDreamer is an instructable embodied agent for simulated control and it is developed on top of recent advances in Multimodal Large Language Models (MLLMs) and diffusion models!
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63f08dc79cf89c9ed1bb89cd/S62I1Tn5qz5qJ3IkgMHH8.png" width=93%>
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<p>
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MineDreamer can follow instructions steadily by employing a Chain-of-Imagination (CoI) mechanism to envision the step-by-step process of executing instructions and translating imaginations into more precise visual prompts tailored to the current state; subsequently, it generates keyboard-and-mouse actions to efficiently achieve these imaginations,
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<p align="center">
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<img src="https://cdn-uploads.huggingface.co/production/uploads/63f08dc79cf89c9ed1bb89cd/LJxBMChCFng_RkXwUotfk.png" width=93%>
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<p>
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**This repo is used for hosting MineDreamer's InstructPix2Pix checkpoints, which is not only the baseline checkpoints but the training stage 2 checkpoints for Imaginator as well.**
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For more details or tutorials see https://github.com/Zhoues/MineDreamer.
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