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README.md
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@ -279,10 +279,11 @@ works have already been adapted for CogVideoX, and we invite everyone to use the
+ [Xorbits Inference](https://github.com/xorbitsai/inference): A powerful and comprehensive distributed inference + [Xorbits Inference](https://github.com/xorbitsai/inference): A powerful and comprehensive distributed inference
framework, allowing you to easily deploy your own models or the latest cutting-edge open-source models with just one framework, allowing you to easily deploy your own models or the latest cutting-edge open-source models with just one
click. click.
+ [ComfyUI-CogVideoXWrapper](https://github.com/kijai/ComfyUI-CogVideoXWrapper) Use the ComfyUI framework to integrate CogVideoX into your workflow.
+ [VideoSys](https://github.com/NUS-HPC-AI-Lab/VideoSys): VideoSys provides a user-friendly, high-performance + [VideoSys](https://github.com/NUS-HPC-AI-Lab/VideoSys): VideoSys provides a user-friendly, high-performance
infrastructure for video generation, with full pipeline support and continuous integration of the latest models and infrastructure for video generation, with full pipeline support and continuous integration of the latest models and
techniques. techniques.
+ [AutoDL Image](https://www.codewithgpu.com/i/THUDM/CogVideo/CogVideoX-5b-demo): A one-click deployment Huggingface + [AutoDL Space](https://www.codewithgpu.com/i/THUDM/CogVideo/CogVideoX-5b-demo): A one-click deployment Huggingface
Space image provided by community members. Space image provided by community members.
+ [Colab Space](https://github.com/camenduru/CogVideoX-5B-jupyter) Run the CogVideoX-5B model using Jupyter Notebook on + [Colab Space](https://github.com/camenduru/CogVideoX-5B-jupyter) Run the CogVideoX-5B model using Jupyter Notebook on
Colab. Colab.
@ -336,9 +337,6 @@ This folder contains some tools for model conversion / caption generation, etc.
+ [convert_weight_sat2hf](tools/convert_weight_sat2hf.py): Convert SAT model weights to Huggingface model weights. + [convert_weight_sat2hf](tools/convert_weight_sat2hf.py): Convert SAT model weights to Huggingface model weights.
+ [caption_demo](tools/caption): Caption tool, a model that understands videos and outputs them in text. + [caption_demo](tools/caption): Caption tool, a model that understands videos and outputs them in text.
+ [AutoDL Mirror](https://www.codewithgpu.com/i/THUDM/CogVideo/CogVideoX-5b-demo): A one-click deployment of Huggingface
Space mirror provided by community members.
## CogVideo(ICLR'23) ## CogVideo(ICLR'23)
The official repo for the The official repo for the

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README_ja.md
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@ -261,6 +261,7 @@ pipe.vae.enable_tiling()
+ [Xorbits Inference](https://github.com/xorbitsai/inference): + [Xorbits Inference](https://github.com/xorbitsai/inference):
強力で包括的な分散推論フレームワークであり、ワンクリックで独自のモデルや最新のオープンソースモデルを簡単にデプロイできます。 強力で包括的な分散推論フレームワークであり、ワンクリックで独自のモデルや最新のオープンソースモデルを簡単にデプロイできます。
+ + [ComfyUI-CogVideoXWrapper](https://github.com/kijai/ComfyUI-CogVideoXWrapper) ComfyUIフレームワークを使用して、CogVideoXをワークフローに統合します。
+ [VideoSys](https://github.com/NUS-HPC-AI-Lab/VideoSys): VideoSysは、使いやすく高性能なビデオ生成インフラを提供し、最新のモデルや技術を継続的に統合しています。 + [VideoSys](https://github.com/NUS-HPC-AI-Lab/VideoSys): VideoSysは、使いやすく高性能なビデオ生成インフラを提供し、最新のモデルや技術を継続的に統合しています。
+ [AutoDLイメージ](https://www.codewithgpu.com/i/THUDM/CogVideo/CogVideoX-5b-demo): コミュニティメンバーが提供するHuggingface + [AutoDLイメージ](https://www.codewithgpu.com/i/THUDM/CogVideo/CogVideoX-5b-demo): コミュニティメンバーが提供するHuggingface
Spaceイメージのワンクリックデプロイメント。 Spaceイメージのワンクリックデプロイメント。

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README_zh.md
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@ -249,6 +249,7 @@ pipe.vae.enable_tiling()
我们非常欢迎来自社区的贡献，并积极的贡献开源社区。以下作品已经对CogVideoX进行了适配，欢迎大家使用: 我们非常欢迎来自社区的贡献，并积极的贡献开源社区。以下作品已经对CogVideoX进行了适配，欢迎大家使用:
+ [Xorbits Inference](https://github.com/xorbitsai/inference): 性能强大且功能全面的分布式推理框架，轻松一键部署你自己的模型或内置的前沿开源模型。 + [Xorbits Inference](https://github.com/xorbitsai/inference): 性能强大且功能全面的分布式推理框架，轻松一键部署你自己的模型或内置的前沿开源模型。
+ [ComfyUI-CogVideoXWrapper](https://github.com/kijai/ComfyUI-CogVideoXWrapper) 使用ComfyUI框架，将CogVideoX加入到你的工作流中。
+ [VideoSys](https://github.com/NUS-HPC-AI-Lab/VideoSys): VideoSys 提供了易用且高性能的视频生成基础设施，支持完整的管道，并持续集成最新的模型和技术。 + [VideoSys](https://github.com/NUS-HPC-AI-Lab/VideoSys): VideoSys 提供了易用且高性能的视频生成基础设施，支持完整的管道，并持续集成最新的模型和技术。
+ [AutoDL镜像](https://www.codewithgpu.com/i/THUDM/CogVideo/CogVideoX-5b-demo): 由社区成员提供的一键部署Huggingface + [AutoDL镜像](https://www.codewithgpu.com/i/THUDM/CogVideo/CogVideoX-5b-demo): 由社区成员提供的一键部署Huggingface
Space镜像。 Space镜像。