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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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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+ ---
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+
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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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+
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+ # Directory
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+ ```
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+ model_weights
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+ └─ MVDiT-16Γ—512Γ—512.pt
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+ └─ STDiT-16Γ—512Γ—512.pt
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+ └─ STDiT-16Γ—1024Γ—1024.pt
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+ ```
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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-16Γ—512Γ—512.pt
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+ wget https://huggingface.co/datasets/nkp37/OpenVid-1M/resolve/main/model_weights/STDiT-16Γ—1024Γ—1024.pt
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+ wget https://huggingface.co/datasets/nkp37/OpenVid-1M/resolve/main/model_weights/STDiT-16Γ—512Γ—512.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).