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<p align="center">
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<img src=".https://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/icon.png" width="250"/>
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<img src="https://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/icon.png" width="250"/>
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</p>
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<div align="center">
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<a href="https://github.com/hpcaitech/Open-Sora/stargazers"><img src="https://img.shields.io/github/stars/hpcaitech/Open-Sora?style=social"></a>
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@ -1,5 +1,5 @@
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<p align="center">
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<img src="../..https://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/icon.png" width="250"/>
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<img src="https://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/icon.png" width="250"/>
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</p>
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<div align="center">
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<a href="https://github.com/hpcaitech/Open-Sora/stargazers"><img src="https://img.shields.io/github/stars/hpcaitech/Open-Sora?style=social"></a>
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@ -1,5 +1,5 @@
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<p align="center">
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<img src="../..https://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/icon.png" width="250"/>
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<img src="https://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/icon.png" width="250"/>
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<p>
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<div align="center">
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@ -71,7 +71,7 @@ We have also tested this Gradio app on Hugging Face Spaces. You can follow the s
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## Advanced Usage
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For the "**FPS**" option, as now we fix the output video's FPS to 24, this option will not affect the output video's length. Thus, for a smaller FPS, the video is supposed to be longer but accelerated due to 24 FPS. Thus, the video will be less smooth but faster. For a larger FPS, the video will be smoother but slower.
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@ -599,7 +599,7 @@ def main():
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"""
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<div style='text-align: center;'>
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<p align="center">
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<img src="https://github.com/hpcaitech/Open-Sora/raw/mainhttps://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/icon.png" width="250"/>
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<img src="https://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/icon.png" width="250"/>
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</p>
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<div style="display: flex; gap: 10px; justify-content: center;">
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<a href="https://github.com/hpcaitech/Open-Sora/stargazers"><img src="https://img.shields.io/github/stars/hpcaitech/Open-Sora?style=social"></a>
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@ -63,10 +63,10 @@ nohup torchrun --nproc_per_node 8 --standalone caption_pllava.py \
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### PLLaVA vs. LLaVA
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In our previous releases, we used [LLaVA](#llava-captioning) for video captioning.
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Qualitatively speaking, we observe that PLLaVA has a somewhat higher chance of accurately capture the details in the video than LLaVA. See below for their comparison on a video sample.
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<!-- <img src="../..https://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/llava_vs_pllava_sample.gif" width="300" height="200" alt="LLaVA vs PLLaVA"> -->
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<!-- <img src="https://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/llava_vs_pllava_sample.gif" width="300" height="200" alt="LLaVA vs PLLaVA"> -->
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<figure>
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<img src="../..https://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/llava_vs_pllava_sample.gif" width="300" height="200" alt="LLaVA vs PLLaVA">
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<img src="https://github.com/hpcaitech/Open-Sora-Demo/blob/main/readme/llava_vs_pllava_sample.gif" width="300" height="200" alt="LLaVA vs PLLaVA">
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</figure>
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