Vidu: Vidu Q1 Image to Video API

Vidu Q1 Image-to-Video is an image-driven video generation model developed by Shengshu Technology for Q1, representing the standard version of the Vidu Q1 series. As an early generational product of the Vidu Q series, the Q1 version establishes the technical foundation of Vidu's image-to-video capabilities, demonstrating Shengshu Technology's core technical accumulation in the field of image-driven video generation. The model uses a user-provided static image as visual input, combined with optional text descriptions, to generate video content with dynamic effects. Key capabilities include: Image-Driven Video Generation: Uses static images as the visual reference foundation, dynamically processing subjects within the image to generate dynamic videos that maintain basic visual consistency with the original image, serving as the foundational implementation of Vidu series image-to-video capabilities. Image Visual Feature Preservation: Maintains basic consistency of major visual elements in the input image, including subject appearance, scene background, and overall color tone style, ensuring recognizable visual association between generated videos and source images. Image-Text Joint Control: Supports joint input of images and text prompts, using text descriptions to assist in specifying motion content, action direction, and scene changes, providing basic text guidance capability for the image-to-video process. Basic Motion Generation: Capable of generating basic motion effects for subjects in static images, including simple character actions, scene dynamics, and object displacement, meeting the animation needs of basic image-to-video applications. Lightweight Deployment Friendly: As the base version of the Q1 series, it is relatively lightweight in computational resource consumption, suitable for call scenarios with basic control requirements for resource consumption and costs. Typical use cases include basic image-to-video feature integration, lightweight content animation processing, early Vidu API access and feature validation, and low-cost image animation content production.