Diffusers support (#40)

* update bug in control training

* diffusers support

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Co-authored-by: 梧岚 <lijiatong.ljt@alibabapictures.com>
This commit is contained in:
Bubbliiiing
2024-10-16 11:33:22 +08:00
committed by GitHub
co-authored by 梧岚
parent 2aa923b65c
commit 2a93e5c14e
2 changed files with 2 additions and 0 deletions
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@@ -23,6 +23,7 @@ CogVideoX-Fun is a modified pipeline based on the CogVideoX structure, designed
We will support quick pull-ups from different platforms, refer to [Quick Start](#quick-start).
What's New:
- CogVideoX-Fun Control is now supported in diffusers. Thanks to [a-r-r-o-w](https://github.com/a-r-r-o-w) who contributed the support in this [PR](https://github.com/huggingface/diffusers/pull/9671). Check out the [docs](https://huggingface.co/docs/diffusers/main/en/api/pipelines/cogvideox) to know more. [ 2024.10.16 ]
- Retrain the i2v model and add noise to increase the motion amplitude of the video. Upload the control model training code and control model. [ 2024.09.29 ]
- Create code! Now supporting Windows and Linux. Supports 2b and 5b models. Supports video generation at any resolution from 256x256x49 to 1024x1024x49. [ 2024.09.18 ]
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@@ -23,6 +23,7 @@ CogVideoX-Fun是一个基于CogVideoX结构修改后的的pipeline,是一个
我们会逐渐支持从不同平台快速启动,请参阅 [快速启动](#快速启动)。
新特性:
- CogVideoX-Fun Control现在在diffusers中得到了支持。感谢 [a-r-r-o-w](https://github.com/a-r-r-o-w)在这个 [PR](https://github.com/huggingface/diffusers/pull/9671)中贡献了支持。查看[文档](https://huggingface.co/docs/diffusers/main/en/api/pipelines/cogvideox)以了解更多信息。[2024.10.16]
- 重新训练i2v模型,添加Noise,使得视频的运动幅度更大。上传控制模型训练代码与Control模型。[ 2024.09.29 ]
- 创建代码!现在支持 Windows 和 Linux。支持2b与5b最大256x256x49到1024x1024x49的任意分辨率的视频生成。[ 2024.09.18 ]