Vidu: Vidu Q1 Classic Image to Video API

Vidu Q1 Classic Image-to-Video is a classic variant of the Q1 series image-driven video generation model developed by Shengshu Technology, representing the classic version within the Vidu Q1 series with stability and compatibility as its core positioning. Compared to the Q1 standard version, the Classic version places greater emphasis on providing a fully validated and stable generation experience, suitable for users and business scenarios with higher requirements for generation result consistency and predictability. The model uses static images as the visual input foundation, combined with optional text descriptions, to generate video content with basic dynamic effects, serving as the image-to-video solution within the Vidu series oriented toward classic stability needs. Key capabilities include: Classic Stable Generation Experience: The Classic version centers on a fully validated stable generation pipeline, providing highly consistent generation results across multiple calls, reducing output randomness and unpredictability, suitable for production environment integration with clear requirements for result stability. Image Visual Feature Preservation: Maintains basic consistency of major visual elements in the input image, including subject appearance features, scene background composition, and overall color style, ensuring clearly recognizable visual continuity between generated videos and source images. Image-Text Collaborative Input: Supports joint input of images and text prompts, using text descriptions to assist in guiding motion content, action direction, and scene atmosphere, providing basic text controllability within the classic stable generation framework. Basic Dynamic Effect Generation: Generates basically smooth motion effects for subjects in static images, covering common character actions, simple camera movements, and basic scene dynamics, meeting the fundamental animation needs of classic image-to-video applications. High Compatibility and Easy Integration: As a classic version, it features good backward compatibility in API interface design and parameter specifications, facilitating integration with existing business systems and long-term stable maintenance, reducing integration costs brought by version iterations. Typical use cases include stable image-to-video service integration in production environments, batch processing tasks with high requirements for result consistency, backend systems of long-term stably operating content platforms, classic-style image animation processing, and enterprise-level applications with high API compatibility requirements.