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qy-upup/veo
veo is a machine learning model from qy-upup. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
This repository contains code and resources related to the veo package, a tool designed to facilitate video editing and manipulation tasks. veo is part of the broader Veo ecosystem developed by Supermaker AI.
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Updated Jan 4, 2026
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From the Hugging Face model README
This repository contains code and resources related to the veo package, a tool designed to facilitate video editing and manipulation tasks. veo is part of the broader Veo ecosystem developed by Supermaker AI.
The veo package provides a streamlined interface for common video editing operations. It abstracts away the complexities of underlying video processing libraries, allowing developers to focus on high-level logic and creative workflows. Functionality includes video trimming, concatenation, format conversion, basic effects application (e.g., fades, transitions), and metadata management. The package is designed to be extensible, allowing users to easily add custom processing steps and integrate with other multimedia tools. While not a complete video editing suite, veo offers a powerful and efficient way to automate and script video-related tasks.
This model/repo is part of the Veo ecosystem. Explore the full potential of Veo at https://supermaker.ai/video/veo/.
The veo package is intended for developers and content creators who need to programmatically manipulate video files. Common use cases include:
The veo package has certain limitations:
The following example demonstrates how to use the veo package to trim a video:
python
from veo import VideoEditor
editor = VideoEditor("input.mp4")
editor.trim(start_time=5, end_time=10)
editor.save("output.mp4")
print("Video trimmed successfully!")
This is a simple example, and the veo package offers more advanced functionalities such as adding watermarks, merging videos, and converting formats. Refer to the documentation for a complete list of features and usage instructions. Remember to install the necessary dependencies before running the code.