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README.md
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......@@ -80,17 +80,17 @@ Tips：以上dtk驱动、python、torch等DCU相关工具版本需要严格一
pip install .
## 数据集
推荐使用SCNet高速通道下载
完整数据集下载：https://drive.google.com/drive/folders/154S6raNg9NpDGQRlRhhAaYcAx5xq1Ok8
完整数据集下载：[google driver](https://drive.google.com/drive/folders/154S6raNg9NpDGQRlRhhAaYcAx5xq1Ok8) | [SCNet](http://113.200.138.88:18080/aidatasets/project-dependency/hd-vg-130m)
可使用下列数据用于快速验证
https://opendatalab.com/OpenDataLab/ImageNet-1K/tree/main/raw (ImageNet)
[ImageNet官方地址](https://opendatalab.com/OpenDataLab/ImageNet-1K/tree/main/raw) | [SCNet](http://113.200.138.88:18080/aidatasets/project-dependency/imagenet-2012)
https://www.crcv.ucf.edu/research/data-sets/ucf101/ (UCF101)
[UCF101官方地址](https://www.crcv.ucf.edu/research/data-sets/ucf101/) | [SCNet](http://113.200.138.88:18080/aidatasets/project-dependency/ucf101)
链接：https://pan.baidu.com/s/1nPEAC_52IuB5KF-5BAqGDA
提取码：kwai （mini数据集）
[mini数据集](https://pan.baidu.com/s/1nPEAC_52IuB5KF-5BAqGDA) 提取码：kwai | [SCNet](http://113.200.138.88:18080/aidatasets/project-dependency/mini)
数据结构
......@@ -137,12 +137,12 @@ https://www.crcv.ucf.edu/research/data-sets/ucf101/ (UCF101)
| Resoluion | Data | #iterations | Batch Size | GPU days (H800) | URL |
| ---------- | ------ | ----------- | ---------- | --------------- | --------------------------------------------------------------------------------------------- |
| 16×256×256 | 366K | 80k | 8×64 | 117 | https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-16x256x256.pth |
| 16×256×256 | 20K HQ | 24k | 8×64 | 45 | https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-HQ-16x256x256.pth |
| 16×512×512 | 20K HQ | 20k | 2×64 | 35 | https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-HQ-16x512x512.pth |
| 16×256×256 | 366K | 80k | 8×64 | 117 | [huggingface](https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-16x256x256.pth) [SCNet](http://113.200.138.88:18080/aimodels/Open-Sora/-/blob/main/OpenSora-v1-16x256x256.pth) |
| 16×256×256 | 20K HQ | 24k | 8×64 | 45 | [huggingface](https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-HQ-16x256x256.pth) [SCNet](http://113.200.138.88:18080/aimodels/Open-Sora/-/blob/main/OpenSora-v1-HQ-16x256x256.pth) |
| 16×512×512 | 20K HQ | 20k | 2×64 | 35 | [huggingface](https://huggingface.co/hpcai-tech/Open-Sora/blob/main/OpenSora-v1-HQ-16x512x512.pth) [SCNet](http://113.200.138.88:18080/aimodels/Open-Sora/-/blob/main/OpenSora-v1-HQ-16x512x512.pth) |
https://huggingface.co/DeepFloyd/t5-v1_1-xxl/tree/main (T5)
T5: [huggingface](https://huggingface.co/DeepFloyd/t5-v1_1-xxl/tree/main) | [SCNet](http://113.200.138.88:18080/aimodels/t5-v1_1-xxl)
pretrained_models/
└── t5_ckpts
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