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[docs] fix training data num (#457)

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Zheng Zangwei (Alex Zheng) 2024-06-18 16:32:44 +08:00 committed by GitHub
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docs/datasets.md
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@ -17,11 +17,12 @@ We use the [training-10M subset](https://github.com/snap-research/Panda-70M/tree
which contains ~10M videos of better quality.
### Mixkit
[Mixkit](https://mixkit.co/) is a video website where we obtained 9k videos.
### Pixabay
[Pixabay](https://pixabay.com/videos/) is video website where we obtained 60.5k videos.
[Pixabay](https://pixabay.com/videos/) is video website where we obtained 60.5k videos.
### Pexels

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docs/report_03.md
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@ -7,7 +7,7 @@
- [Evaluation](#evaluation)
- [Sequence parallelism](#sequence-parallelism)
In Open-Sora 1.2 release, we train a 1.1B models on >20M data, with training cost 35k H100 GPU hours, supporting 0s~16s, 144p to 720p, various aspect ratios video generation. Our configurations is listed below. Following our 1.1 version, Open-Sora 1.2 can also do image-to-video generation and video extension.
In Open-Sora 1.2 release, we train a 1.1B models on >30M data (~80k hours), with training cost 35k H100 GPU hours, supporting 0s~16s, 144p to 720p, various aspect ratios video generation. Our configurations is listed below. Following our 1.1 version, Open-Sora 1.2 can also do image-to-video generation and video extension.
| | image | 2s | 4s | 8s | 16s |
| ---- | ----- | --- | --- | --- | --- |