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paper and logo update
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# CogVideo && CogVideoX
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[中文阅读](./README_zh.md)
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[日本語で読む](./README_ja.md)
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<div align="center">
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🤗 Experience on <a href="https://huggingface.co/spaces/THUDM/CogVideoX" target="_blank">CogVideoX Huggingface Space</a>
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</p>
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<p align="center">
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📚 Check here to view <a href="resources/CogVideoX.pdf" target="_blank">Paper</a>
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📚 Check here to view <a href="https://arxiv.org/pdf/2408.06072" target="_blank">Paper</a>
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</p>
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<p align="center">
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👋 Join our <a href="resources/WECHAT.md" target="_blank">WeChat</a> and <a href="https://discord.gg/Ewaabk6s" target="_blank">Discord</a>
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@ -21,6 +22,8 @@
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## Update and News
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- 🔥🔥 **News**: ```2024/8/12```: The CogVideoX paper has been uploaded to arxiv. Feel free to check out
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the [paper](https://arxiv.org/abs/2408.06072).
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- 🔥 **News**: ```2024/8/7```: CogVideoX has been integrated into `diffusers` version 0.30.0. Inference can now be
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performed
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on a single 3090 GPU. For more details, please refer to the [code](inference/cli_demo.py).
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@ -152,6 +155,7 @@ of the **CogVideoX** open-source model.
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GPT, Gemini, etc.
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+ [gradio_web_demo](inference/gradio_web_demo.py): A simple gradio web UI demonstrating how to use the CogVideoX-2B
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model to generate videos. Same as Our Huggingface Space, you can use this script to launch a web demo.
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```shell
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cd inference
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# For Linux and Windows users (and macOS with Intel??)
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23
README_ja.md
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README_ja.md
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# CogVideo && CogVideoX
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[Read this in English.](./README_zh)
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[中文阅读](./README_zh.md)
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<div align="center">
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🤗 <a href="https://huggingface.co/spaces/THUDM/CogVideoX" target="_blank">CogVideoX Huggingface Space</a> で体験
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</p>
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<p align="center">
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📚 <a href="resources/CogVideoX.pdf" target="_blank">論文</a> をチェック
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📚 <a href="https://arxiv.org/pdf/2408.06072" target="_blank">論文</a> をチェック
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</p>
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<p align="center">
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👋 <a href="resources/WECHAT.md" target="_blank">WeChat</a> と <a href="https://discord.gg/Ewaabk6s" target="_blank">Discord</a> に参加
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## 更新とニュース
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- 🔥🔥 **ニュース**: ```2024/8/12```: CogVideoX 論文がarxivにアップロードされました。ぜひ[論文](https://arxiv.org/abs/2408.06072)をご覧ください。
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- 🔥 **ニュース**: ```2024/8/7```: CogVideoX は `diffusers` バージョン 0.30.0 に統合されました。単一の 3090 GPU
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で推論を実行できます。詳細については [コード](inference/cli_demo.py) を参照してください。
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- 🔥 **ニュース**: ```2024/8/6```: **CogVideoX-2B** で使用される **3D Causal VAE** もオープンソース化しました。これにより、ビデオをほぼ無損失で再構築できます。
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@ -221,3 +223,22 @@ CogVideoのデモは [https://models.aminer.cn/cogvideo](https://models.aminer.c
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year={2022}
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}
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```
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## オープンソースプロジェクト計画
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- [x] CogVideoX モデルのオープンソース化
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- [x] CogVideoX モデル推論サンプル (CLI / Web デモ)
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- [x] CogVideoX オンライン体験サンプル (Huggingface Space)
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- [x] CogVideoX オープンソースAPIインターフェースサンプル (Huggingface)
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- [x] CogVideoX モデルの微調整サンプル (SAT)
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- [ ] CogVideoX モデルの微調整サンプル (Huggingface / SAT)
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- [ ] CogVideoX-Pro オープンソース化 (CogVideoX-2B スイートに対応)
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- [X] CogVideoX 技術レポート公開
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私たちは皆さんの貢献を歓迎しています。詳しくは[こちら](resources/contribute_zh.md)をご覧ください。
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## モデルライセンス
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本リポジトリのコードは [Apache 2.0 ライセンス](LICENSE) の下で公開されています。
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本モデルのウェイトと実装コードは [CogVideoX LICENSE](MODEL_LICENSE) ライセンスに基づいて公開されています。
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README_zh.md
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README_zh.md
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# CogVideo && CogVideoX
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[Read this in English.](./README_zh)
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[日本語で読む](./README_ja.md)
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🤗 在 <a href="https://huggingface.co/spaces/THUDM/CogVideoX" target="_blank">CogVideoX Huggingface Space</a> 体验视频生成模型
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</p>
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<p align="center">
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📚 查看 <a href="resources/CogVideoX.pdf" target="_blank">论文</a>
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📚 查看 <a href="https://arxiv.org/pdf/2408.06072" target="_blank">论文</a>
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</p>
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<p align="center">
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👋 加入我们的 <a href="resources/WECHAT.md" target="_blank">微信</a> 和 <a href="https://discord.gg/Ewaabk6s" target="_blank">Discord</a>
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## 项目更新
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- 🔥🔥 **News**: ```2024/8/12```: CogVideoX 论文已上传到arxiv，欢迎查看[论文](https://arxiv.org/abs/2408.06072)。
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- 🔥 **News**: ```2024/8/7```: CogVideoX 已经合并入 `diffusers`
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0.30.0版本，单张3090可以推理，详情请见[代码](inference/cli_demo.py)。
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- 🔥 **News**: ```2024/8/6```: 我们开源 **3D Causal VAE**，用于 **CogVideoX-2B**，可以几乎无损地重构视频。
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### 提示词优化
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在开始运行模型之前，请参考[这里](inference/convert_demo.py) 查看我们是怎么使用GLM-4(或者同级别的其他产品，例如GPT-4)大模型对模型进行优化的，这很重要，
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在开始运行模型之前，请参考[这里](inference/convert_demo.py) 查看我们是怎么使用GLM-4(或者同级别的其他产品，例如GPT-4)
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大模型对模型进行优化的，这很重要，
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由于模型是在长提示词下训练的，一个好的提示词直接影响了视频生成的质量。
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### SAT
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@ -128,7 +131,8 @@ CogVideoX是 [清影](https://chatglm.cn/video?fr=osm_cogvideox) 同源的开源
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+ [convert_demo](inference/convert_demo.py): 如何将用户的输入转换成适合
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CogVideoX的长输入。因为CogVideoX是在长文本上训练的，所以我们需要把输入文本的分布通过LLM转换为和训练一致的长文本。脚本中默认使用GLM4，也可以替换为GPT、Gemini等任意大语言模型。
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+ [gradio_web_demo](inference/gradio_web_demo.py): 一个简单的gradio网页应用，展示如何使用 CogVideoX-2B 模型生成视频。
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与我们的 Huggingface Space 类似，你可以使用此脚本运行一个简单的网页应用，用于生成视频。
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与我们的 Huggingface Space 类似，你可以使用此脚本运行一个简单的网页应用，用于生成视频。
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```shell
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cd inference
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# For Linux and Windows users (and macOS with Intel??)
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# For macOS with Apple Silicon users, Intel not supported, this maybe 20x slower than RTX 4090
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PYTORCH_ENABLE_MPS_FALLBACK=1 python gradio_web_demo.py # humans mode
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```
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<div style="text-align: center;">
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<img src="resources/gradio_demo.png" style="width: 100%; height: auto;" />
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</div>
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|
Before Width: | Height: | Size: 23 KiB After Width: | Height: | Size: 22 KiB |
@ -1,5 +1,10 @@
|
||||
# SAT CogVideoX-2B
|
||||
|
||||
[中文阅读](./README_zh.md)
|
||||
|
||||
[日本語で読む](./README_ja.md)
|
||||
|
||||
|
||||
This folder contains the inference code using [SAT](https://github.com/THUDM/SwissArmyTransformer) weights and the
|
||||
fine-tuning code for SAT weights.
|
||||
|
||||
|
||||
@ -1,5 +1,9 @@
|
||||
# SAT CogVideoX-2B
|
||||
|
||||
[Read this in English.](./README_zh)
|
||||
|
||||
[中文阅读](./README_zh.md)
|
||||
|
||||
このフォルダには、[SAT](https://github.com/THUDM/SwissArmyTransformer) ウェイトを使用した推論コードと、SAT
|
||||
ウェイトのファインチューニングコードが含まれています。
|
||||
|
||||
|
||||
@ -1,5 +1,9 @@
|
||||
# SAT CogVideoX-2B
|
||||
|
||||
[Read this in English.](./README_zh)
|
||||
|
||||
[日本語で読む](./README_ja.md)
|
||||
|
||||
本文件夹包含了使用 [SAT](https://github.com/THUDM/SwissArmyTransformer) 权重的推理代码，以及 SAT 权重的微调代码。
|
||||
|
||||
该代码是团队训练模型时使用的框架。注释较少，需要认真研究。
|
||||
|
||||
Loading…
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Reference in New Issue
Block a user