While the AI industry has made significant strides with video generation, achieving visual consistency in generative videos has been a persistent challenge. Many multimodal generative models continue to have trouble achieving high-quality outputs that require the processing of multiple subjects or environments, leading to flickering and inconsistencies.
ShengShu Technology, however, has tackled this issue head-on with its Multiple-Entity Consistency feature, first introduced in its flagship application Vidu 1.5. Now, with the launch of the Vidu API, Vidu is extending this breakthrough to developers and enterprise partners, who will have access to the latest version of Vidu 2.0 for superior quality control and near-real time generation speed.
Through this API application, developers and enterprise partners will have access to an array of advanced features in Vidu 2.0’s, including Reference-to-Video, Image-to-Video and Text-to-Video, which work in tandem to transform static images and text prompts into dynamic and visually cohesive videos while maintaining subject consistency across multiple perspectives.
This industry-first breakthrough builds on the company’s unique U-ViT architecture and deep semantic understanding, which powers Vidu’s advanced multimodal video generation capabilities. The ability to ensure stable and consistent video output even when inputting unrelated subjects, objects and environments means that companies can practically deploy generative AI technology for marketing, film editing and social media video content at scale.
The Template feature is another key addition to the Vidu API platform. It reduces prompt complexity by offering various customizable pre-set prompt templates tailored to the video creation needs of various industries, be it for personalized marketing campaigns, customer support videos or product showcases, the template function supports generating stunning, smooth videos with more variety in aesthetics. While each template is already optimized for highly stable generation results, developers will still enjoy the flexibility to integrate and debug for different scenarios even without technical expertise.
Beyond consistency, Vidu also outperforms many AI models by delivering near real-time video generation, capable of producing a clip in under ten seconds without sacrificing quality. This helps companies remove lengthy filming schedules and costly editing processes to get to final results, producing high quality visual contents for professional purposes.
Unlike many AI platforms that require high-tier subscriptions or applications, ShengShu has made the Vidu API platform fully open, allowing independent developers and smaller businesses to integrate it instantly without any approval processes. Pricing starts at just $10, with a transparent credit-based system that enables flexible usage. A dedicated B2B service team will also be available to assist businesses with the integration should they seek more tailored support.
Video content is already the backbone of digital engagement and the ability to produce stunning videos at scale will be critical for businesses to succeed in this visual-first economy. Yet, using AI-generative video technology at scale has remained an elusive goal for many businesses as limitations with subject consistency and speed have kept AI video creation from reaching its full potential. By overcoming long-standing hurdles with consistency and speed, Vidu API is effectively lowering adoption barriers and giving small businesses and independent developers a way to compete as we shift toward faster, and more dynamic content creation.