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Tianyu Digital: CineART, a Cinema-Grade AI Long-Form Video Creation and Editing Platform, Officially Launches
On March 25th, Tianyu Digital Science officially launched CineART, a film and television-level AI long video creation platform. The platform relies on several self-developed large models that have completed national generative AI service registration, as well as multiple generative AI algorithms such as text-to-video, building a solid technical foundation.
According to reports, CineART achieves AI creative capabilities reconstructed through directorial logic, covering multiple scene narratives, and connecting the entire workflow of “creativity—storyboarding—generation—editing—export.” It provides one-stop professional-level video creation from story structure to final output. The operation is simple and convenient, with clear functional zones and a user-friendly interface, making it easy for beginners to get started.
“Tianyu Digital Science states that in practice, this engineering capability has brought quantifiable efficiency improvements.” Supported by mature engineering technology, CineART has realized a measurable and implementable production model. Internal testing data shows that, for example, in TV commercial production, a single person can produce 30 seconds of high-quality brand content. The raw image card draw rate is controlled at 30%, and the video card draw rate reaches 50%, with a daily output capacity of up to two high-quality pieces. As the card draw success rate continues to improve, the overall cost of a one-minute video can be reduced to around 50 yuan, easily covering various application scenarios such as short dramas, information flow ads, and brand TVCs.
Traditional AI creation faces obvious “fragmentation” issues, requiring users to switch repeatedly between different tools—generating images in one tool, making videos in another, then switching to editing software for stitching. This not only breaks the workflow but also significantly reduces creative efficiency. CineART completely breaks down this barrier, integrating the entire process from creative input to finished product into a complete production line, achieving a closed-loop creation process. The entire workflow is streamlined into one platform, allowing creators to focus on high efficiency and concentration.
It is known that issues such as face swapping, scene drifting, and prop mismatches are the most troublesome in AI creation. The same character loses recognition across different scenes, with clothing, expressions, and details completely disconnected; switching perspectives in the same shot causes instant disconnection in lighting and spatial sense; prop details vary wildly in size and shape, creating chaos. These uncertainties make long-form content production nearly impossible.
CineART effectively solves these problems through asset management. The platform has built-in standardized resource centers for characters, scenes, props, micro-expressions, and emotions, enabling unified creation and management of all categories of creative materials, achieving “one-time definition and global reuse.”
Additionally, CineART supports collaborative creation modes, allowing team members to work together online from prompt conception to final output. Creators can share and modify content in real-time without repeatedly transferring files or worrying about version confusion, greatly improving team efficiency.
The project-based centralized management system arranges project files in order, supports visual retrieval, and categorizes materials and resources clearly, eliminating the chaos of disorganized files and hard-to-find assets. The platform also features built-in video preview and one-click rough cut functions, enabling quick content drafting through segment splicing, rhythm adjustment, and initial review. It supports multi-format exports such as project files, raw footage with channels, structured text, and separated audio tracks, fully compatible with mainstream professional editing software like Jianying and Premiere Pro, ensuring seamless transition from AI creation to professional editing.