From 1771664792a33b2e22c93f88dedebdb5b088f56f Mon Sep 17 00:00:00 2001 From: Yanjia0 <42895286+Yanjia0@users.noreply.github.com> Date: Sun, 16 Jun 2024 12:12:10 +0800 Subject: [PATCH] Update README.md --- docs/zh_CN/README.md | 42 ++++++++++++++++++++---------------------- 1 file changed, 20 insertions(+), 22 deletions(-) diff --git a/docs/zh_CN/README.md b/docs/zh_CN/README.md index 481c4b3..f1cbf49 100644 --- a/docs/zh_CN/README.md +++ b/docs/zh_CN/README.md @@ -394,39 +394,37 @@ colossalai run --nproc_per_node 8 --hostfile hostfile scripts/train.py configs/o ### VBench-i2v -See [here](eval/README.md) for more instructions. +请参阅 [c此处](/eval/README.md)了解更多说明。 -## Contribution +## 贡献 -Thanks goes to these wonderful contributors: +感谢以下出色的贡献者： -If you wish to contribute to this project, please refer to the [Contribution Guideline](./CONTRIBUTING.md). +如果您希望为该项目做出贡献，请参阅[Contribution Guideline](./CONTRIBUTING.md)。 -## Acknowledgement +## 致谢 -Here we only list a few of the projects. For other works and datasets, please refer to our report. +这里我们仅列出了部分项目，其他研究成果及数据集请参考我们的报告。 -* [ColossalAI](https://github.com/hpcaitech/ColossalAI): A powerful large model parallel acceleration and optimization - system. -* [DiT](https://github.com/facebookresearch/DiT): Scalable Diffusion Models with Transformers. -* [OpenDiT](https://github.com/NUS-HPC-AI-Lab/OpenDiT): An acceleration for DiT training. We adopt valuable acceleration - strategies for training progress from OpenDiT. -* [PixArt](https://github.com/PixArt-alpha/PixArt-alpha): An open-source DiT-based text-to-image model. -* [Latte](https://github.com/Vchitect/Latte): An attempt to efficiently train DiT for video. -* [StabilityAI VAE](https://huggingface.co/stabilityai/sd-vae-ft-mse-original): A powerful image VAE model. -* [CLIP](https://github.com/openai/CLIP): A powerful text-image embedding model. -* [T5](https://github.com/google-research/text-to-text-transfer-transformer): A powerful text encoder. -* [LLaVA](https://github.com/haotian-liu/LLaVA): A powerful image captioning model based on [Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) and [Yi-34B](https://huggingface.co/01-ai/Yi-34B). -* [PLLaVA](https://github.com/magic-research/PLLaVA): A powerful video captioning model. -* [MiraData](https://github.com/mira-space/MiraData): A large-scale video dataset with long durations and structured caption. +* [ColossalAI](https://github.com/hpcaitech/ColossalAI): 强大的大型模型并行加速与优化系统。 +* [DiT](https://github.com/facebookresearch/DiT): 带有 Transformer 的可扩展扩散模型。 +* [OpenDiT](https://github.com/NUS-HPC-AI-Lab/OpenDiT): DiT 训练的加速器。我们从 OpenDiT 中采用了有价值的训练进度加速策略。 +* [PixArt](https://github.com/PixArt-alpha/PixArt-alpha): 一个基于 DiT 的开源文本转图像模型。 +* [Latte](https://github.com/Vchitect/Latte): 尝试高效地训练视频的 DiT。 +* [StabilityAI VAE](https://huggingface.co/stabilityai/sd-vae-ft-mse-original): 一个强大的图像 VAE 模型。 +* [CLIP](https://github.com/openai/CLIP): 一个强大的文本图像嵌入模型。 +* [T5](https://github.com/google-research/text-to-text-transfer-transformer): 强大的文本编码器。 +* [LLaVA](https://github.com/haotian-liu/LLaVA): 基于[Mistral-7B](https://huggingface.co/mistralai/Mistral-7B-v0.1) 和 [Yi-34B](https://huggingface.co/01-ai/Yi-34B). 的强大图像字幕模型。 +* [PLLaVA](https://github.com/magic-research/PLLaVA): 一个强大的视频字幕模型。 +* [MiraData](https://github.com/mira-space/MiraData):具有长持续时间和结构化字幕的大规模视频数据集。 -We are grateful for their exceptional work and generous contribution to open source. +我们感谢他们的出色工作和对开源的慷慨贡献。 -## Citation +## 引用 ```bibtex @software{opensora, @@ -438,6 +436,6 @@ We are grateful for their exceptional work and generous contribution to open sou } ``` -## Star History +## Star增长 [![Star History Chart](https://api.star-history.com/svg?repos=hpcaitech/Open-Sora&type=Date)](https://star-history.com/#hpcaitech/Open-Sora&Date)