Vidu: Vidu Q1 Start-End to Video API

Vidu Q1 Start-End to Video is the first-generation start-end frame-driven video generation model of the Q1 series developed by Shengshu Technology, representing the first official version in the start-end frame video generation direction of the Vidu video generation product line. As the foundational version of Vidu's start-end frame video generation capability, the Q1 version establishes the core technical paradigm of dual image anchor-driven video transition generation, providing fundamental technical accumulation and product definition reference for the subsequent iterative evolution of the Q2 and Q3 series. The model accepts simultaneously provided starting frame and ending frame images, combined with optional text descriptions, automatically inferring and generating transition video content between the two frames. Key capabilities include: Basic Start-End Frame Transition Video Generation: Using the starting and ending frames as dual visual anchor points, generates video content between the two frames with basic visual coherence and transition rationality. The Q1 version establishes the core technical framework for start-end frame video generation, capable of completing basic motion inference and video content generation tasks under given dual-frame visual constraints, outputting video clips that visually transition smoothly from the starting frame to the ending frame. Basic Visual Feature Fidelity: Identifies and processes the main visual features of the starting and ending frames as constraints, maintaining the basic consistency of core visual elements in the input dual frames during the generation of transition videos, including subject appearance, scene composition, and overall color tone, ensuring basic visual coherence between generated videos and input frames. Basic Motion Trajectory Inference: Performs basic inference of the most probable motion path between starting and ending frames, generating transition video content with basic physical rationality and dynamic coherence, realizing the core conversion capability from static dual-frame input to dynamic video output. Text-Assisted Guidance Support: Supports optional text prompt input, using text descriptions to provide auxiliary guidance on transition motion methods, content evolution direction, and basic scene atmosphere between start and end frames, providing a certain degree of text controllability within the basic generation framework. Lightweight Invocation and Basic Cost Threshold: As the first-generation version, Q1 has certain advantages in call cost and resource consumption, suitable for entry-level application scenarios with relatively basic video generation quality requirements and a focus on cost control, as well as developers and content creators who wish to experience start-end frame video generation technology at low cost. Typical use cases include initial exploration and functional verification of start-end frame video generation technology, basic generation needs for low-cost video transition content, developer integration testing and API functional verification, lightweight content creation with relatively basic video quality requirements, and serving as an entry-level experience option for the Vidu start-end frame video generation product line.