Developers introduced video-generator-client — an asynchronous Python library designed for unified interaction with popular video generation APIs. The tool allows integrating the capabilities of several providers into a single workflow via CLI or a built-in web interface.
The library supports working with models from Seedance, Kling, MiniMax, and Wan. The client architecture is built on asynchronous requests, which allows sending generation tasks in parallel and tracking their status in real-time. Users can manage generation parameters, such as resolution, duration, and prompt settings, via configuration files or command-line arguments.
The built-in web interface provides a visual panel for testing API requests and viewing results without the need to write additional code. The project is distributed with an open source code, which allows developers to extend the list of supported providers or embed the client into their own media processing pipelines.
The emergence of such tools simplifies the development of applications using video generation by abstracting the differences in APIs of different vendors. Now, to switch between Kling or MiniMax models, it is enough to change the client initialization parameters, which reduces the time spent on integrating new technologies into existing projects.