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update README

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@@ -48,7 +48,7 @@ For more technical details and discussions, please refer to:
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  We have verified the execution on a machine equipped with a single NVIDIA H100 80GB GPU. However, we believe it should be possible to run the model on any machine equipped with an NVIDIA GPU with 16GB or more of VRAM.
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- Terra consists of an Image Tokenizer, an Autoregressive Transformer, and a Video Refiner. Due to the complexity of setting up the Video Refiner, please refer to the [ACT-Bench repository](https://github.com/turingmotors/ACT-Bench) for detailed instructions. Here, we provide an example of generating video continuations using the Image Tokenizer and the Autoregressive Transformer, conditioned on image frames and a template trajectory. The resulting video quality might seem suboptimal as each frame is decoded individually. To improve the visual quality, you can use Video Refiner.
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  ### Install Packages
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  We have verified the execution on a machine equipped with a single NVIDIA H100 80GB GPU. However, we believe it should be possible to run the model on any machine equipped with an NVIDIA GPU with 16GB or more of VRAM.
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+ Terra consists of an Image Tokenizer, an Autoregressive Transformer, and a Video Refiner. Due to the complexity of setting up the Video Refiner, we have not include its implementation in this Hugging Face repository. Instead, **the implementation and setup instructions for the Video Refiner are provided in [ACT-Bench repository](https://github.com/turingmotors/ACT-Bench)**. Here, we provide an example of generating video continuations using the Image Tokenizer and the Autoregressive Transformer, conditioned on image frames and a template trajectory. The resulting video quality might seem suboptimal as each frame is decoded individually. To improve the visual quality, you can use Video Refiner.
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  ### Install Packages
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