'upload model'

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FaceZhao
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# Image-to-Video
首图
## 模型介绍 (Introduction)
介绍文字(强调两个特点:宽屏视频,无水印)
炫酷示例
## 快速使用 (Inference)
### 依赖项 (Dependency)
### 代码范例 (Code example)
### 模型局限 (Limitation)
## 训练数据介绍 (Training Data)
## 相关论文以及引用信息 (Reference)
```
@inproceedings{luo2023videofusion,
title={VideoFusion: Decomposed Diffusion Models for High-Quality Video Generation},
author={Luo, Zhengxiong and Chen, Dayou and Zhang, Yingya and Huang, Yan and Wang, Liang and Shen, Yujun and Zhao, Deli and Zhou, Jingren and Tan, Tieniu},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year={2023}
}
@article{wang2023videocomposer,
title={VideoComposer: Compositional Video Synthesis with Motion Controllability},
author={Wang, Xiang and Yuan, Hangjie and Zhang, Shiwei and Chen, Dayou and Wang, Jiuniu and Zhang, Yingya and Shen, Yujun and Zhao, Deli and Zhou, Jingren},
journal={arXiv preprint arXiv:2306.02018},
year={2023}
}
```
## 使用协议 (License Agreement)
我们的代码和模型权重仅可用于个人/学术研究,暂不支持商用。
## 联系我们 (Contact Us)
如果你想联系我们的算法/产品同学, 或者想加入我们的算法团队(实习/正式), 欢迎发邮件至: <yingya.zyy@alibaba-inc.com>

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configuration.json Normal file
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{
"framework": "pytorch",
"task": "image-to-video-task",
"model": {
"type": "image-to-video-model",
"model_args": {
"ckpt_clip": "open_clip_pytorch_model.bin",
"ckpt_unet": "img2video_ldm_0779000.pth",
"ckpt_autoencoder": "v2-1_512-ema-pruned.ckpt",
"seed": 666
},
"model_cfg": {
}
},
"pipeline": {
"type": "image-to-video-task-pipeline"
}
}

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img2video_ldm_0779000.pth (Stored with Git LFS) Normal file

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open_clip_pytorch_model.bin (Stored with Git LFS) Normal file

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v2-1_512-ema-pruned.ckpt (Stored with Git LFS) Normal file

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