CogStudio is an interface for generating and editing videos using the AI-powered CogVideo. It offers several functionalities like text-to-video, image-to-video, video-to-video, and extending videos. The goal is to provide a seamless experience for creators looking to manipulate video content through a simple Gradio interface.
[NVIDIA Only] Advanced Web UI for CogVideo: https://github.com/THUDM/CogVideo
CogStudio supports various video generation methods, which are accessible via tabs in the UI:
Text-to-Video: Enter a text prompt to generate a video.
Video-to-Video: Upload a video and use a prompt to transform the original into a new version.
Image-to-Video: Upload an image and a prompt to generate a video based on that image.
Extend Video: Take an existing video, select a frame, and extend the video from that point.
These features make it easy to perform creative video manipulation and then apply further edits through simple clicks in the Gradio interface.
1. Text to Video
Enter prompt to generate videos
2. Video to Video
Upload a video and enter a prompt to transform the video into another video.
3. Image to Video
Upload a start image and a prompt, and generate a video from the image
4. Extend Video
Upload a video, select a frame to continue the video from, and generate an extended video.
You can keep extending the generated video to infinity and generate a very long video this way.
Also, it's not just about extending from the end, you can use the slider interface to select precisely which point to continue the generation from.
5. Seamless Workflow
Once you generate a video, you can send it to:
video to video
extend video
tabs to add more editing, for example transforming the generated video, or taking the generated video and extending it to make it longer.
There are two methods for installing CogStudio: One-click install or manual install.
Use Pinokio to install the repository with a single click.
Download and extract the Black Mixture_CogStudio Easy Installer.zip
Run the Black Mixture CogStudio Custom Installer.bat file
Clone the CogVideo repository:
git clone https://github.com/THUDM/CogVideo
Copy the cogstudio.py file into the CogVideo folder under:
CogVideo/inference/gradio_composite_demo
Set up a virtual environment: Navigate into the directory:
cd CogVideo/inference/gradio_composite_demo python -m venv env
Activate the virtual environment:
Linux/Mac:
source env/bin/activate
Windows:
env\Scripts\activate
Install dependencies: Install the required packages by running:
pip install -r requirements.txt
Install PyTorch for CUDA: Ensure you have the proper version for CUDA support:
pip install torch==2.3.1 torchvision==0.18.1 torchaudio==2.3.1 --index-url https://download.pytorch.org/whl/cu121
Install MoviePy: CogStudio requires the latest development version of MoviePy:
pip install moviepy==2.0.0.dev2
To start the app, run:
python cogstudio.py
This will launch a Gradio-powered web interface for generating and manipulating videos. The UI is intuitive, with tabs for each of the video generation features mentioned earlier.
Once a video is generated, you can move it directly into further workflows, like extending the video or using it as the base for a new video-to-video transformation. The tab-based layout makes it easy to try multiple options without leaving the main UI.
If you encounter issues such as missing files or installation errors, ensure the following:
Double-check that all paths (e.g., for cogstudio.py) are correct.
Make sure that the virtual environment is activated before running the app.
Check for updates to both CogStudio and CogVideo, as new features and bug fixes are regularly added.