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- Video Generative Model Training
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- Text-to-Video Diffusion Model Training
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- prompts
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- Video Generative Model Training
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- Text-to-Video Diffusion Model Training
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- prompts
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# Summary
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Here we provide pre-trained model weights on our OpenVid-1M in model_weights.
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**Project**: [https://nju-pcalab.github.io/projects/openvid](https://nju-pcalab.github.io/projects/openvid)
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**Paper**: [https://huggingface.co/papers/2407.02371](https://huggingface.co/papers/2407.02371)
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**Code**: [https://github.com/NJU-PCALab/OpenVid](https://github.com/NJU-PCALab/OpenVid)
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**Dataset**: [https://github.com/NJU-PCALab/OpenVid](https://huggingface.co/datasets/nkp37/OpenVid-1M)
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# Directory
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```
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model_weights
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ββ MVDiT-16Γ512Γ512.pt
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ββ STDiT-16Γ512Γ512.pt
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ββ STDiT-16Γ1024Γ1024.pt
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```
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# Download
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You can download model weights by ```wget```, for instance:
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```
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wget https://huggingface.co/datasets/nkp37/OpenVid-1M/resolve/main/model_weights/MVDiT-16Γ512Γ512.pt
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wget https://huggingface.co/datasets/nkp37/OpenVid-1M/resolve/main/model_weights/STDiT-16Γ1024Γ1024.pt
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wget https://huggingface.co/datasets/nkp37/OpenVid-1M/resolve/main/model_weights/STDiT-16Γ512Γ512.pt
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```
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If you want to generate videos use our pre-trained model weights, please refer to [**here**](https://github.com/NJU-PCALab/OpenVid-1M#inference).
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