JLNTV_IPD/CogVideo
4
0
Fork 0
mirror of https://github.com/THUDM/CogVideo.git synced 2025-04-05 19:41:59 +08:00
Code Issues Packages Projects Releases Wiki Activity

fix

Browse Source
This commit is contained in:
zR 2024-11-09 22:51:39 +08:00
parent 155456befa
commit 68d93ce8fc
2 changed files with 5 additions and 6 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

8
README.md
View File

@ -44,11 +44,11 @@ The SAT code has already been updated, while the diffusers version is still unde
model [CogVLM2-Caption](https://huggingface.co/THUDM/cogvlm2-llama3-caption), used in the training process of
CogVideoX to convert video data into text descriptions, has been open-sourced. Welcome to download and use it.
- 🔥 ```2024/8/27```: We have open-sourced a larger model in the CogVideoX series, **CogVideoX-5B**. We have
significantly optimized the model's inference performance, greatly lowering the inference threshold. You can run *
*CogVideoX-2B** on older GPUs like `GTX 1080TI`, and **CogVideoX-5B** on desktop GPUs like `RTX 3060`. Please strictly
significantly optimized the model's inference performance, greatly lowering the inference threshold.
You can run **CogVideoX-2B** on older GPUs like `GTX 1080TI`, and **CogVideoX-5B** on desktop GPUs like `RTX 3060`. Please strictly
follow the [requirements](requirements.txt) to update and install dependencies, and refer
to [cli_demo](inference/cli_demo.py) for inference code. Additionally, the open-source license for the **CogVideoX-2B
** model has been changed to the **Apache 2.0 License**.
to [cli_demo](inference/cli_demo.py) for inference code. Additionally, the open-source license for
the **CogVideoX-2B** model has been changed to the **Apache 2.0 License**.
- 🔥 ```2024/8/6```: We have open-sourced **3D Causal VAE**, used for **CogVideoX-2B**, which can reconstruct videos with
almost no loss.
- 🔥 ```2024/8/6```: We have open-sourced the first model of the CogVideoX series video generation models, **CogVideoX-2B

3
README_zh.md
View File

@ -40,8 +40,7 @@ CogVideoX1.5-5B 系列模型支持 **10秒** 长度的视频和更高的分辨
- 🔥 ```2024/8/27```: 我们开源 CogVideoX 系列更大的模型 **CogVideoX-5B**
。我们大幅度优化了模型的推理性能，推理门槛大幅降低，您可以在 `GTX 1080TI` 等早期显卡运行 **CogVideoX-2B**，在 `RTX 3060`
等桌面端甜品卡运行 **CogVideoX-5B** 模型。 请严格按照[要求](requirements.txt)
更新安装依赖，推理代码请查看 [cli_demo](inference/cli_demo.py)。同时，**CogVideoX-2B** 模型开源协议已经修改为**Apache 2.0
协议**。
更新安装依赖，推理代码请查看 [cli_demo](inference/cli_demo.py)。同时，**CogVideoX-2B** 模型开源协议已经修改为**Apache 2.0 协议**。
- 🔥 ```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。
- 🔥 ```2024/8/6```: 我们开源 CogVideoX 系列视频生成模型的第一个模型, **CogVideoX-2B**。
- 🌱 **Source**: ```2022/5/19```: 我们开源了 CogVideo 视频生成模型（现在你可以在 `CogVideo` 分支中看到），这是首个开源的基于