

Vidu
Overview :
Vidu, co-released by Shengshu Technology and Tsinghua University, is the first long-duration, high-consistency, and high-dynamic video large model in China. This model utilizes a proprietary architecture, U-ViT, which merges Diffusion with Transformer, supporting one-click generation of up to 16-second videos with 1080P resolution. Vidu not only simulates the real physical world but also boasts rich imagination, characteristics such as multi-camera generation, and high temporal-spatial consistency. Its rapid breakthrough is attributed to the team's long-term accumulation in Bayesian machine learning and multimodal large models, as well as numerous original achievements. Vidu's launch represents the sustained innovative capabilities and leadership of Shengshu Technology in the multimodal native large model field. Looking to the future, its flexible architecture will be able to accommodate a wider range of modalities, further expanding the boundaries of multimodal general capabilities.
Target Users :
["suited for businesses and individuals needing to generate high-definition video content","ideal for professionals engaging in creative video content development","suitable for the educational field, used for creating teaching videos","suited for research institutions for video data analysis and simulations","for the advertising and marketing industry, capable of producing engaging promotional videos"]
Use Cases
rapid production of film trailers
creation of simulated science experiments in the educational field
generation of product introduction videos for e-commerce platforms
simulating physical experiment processes in the research field
Features
one-click generation of up to 16-second videos with 1080P resolution
simulation of the real physical world with rich imagination
multi-camera generation with a variety of video perspectives
maintenance of temporal-spatial consistency in video content
original U-ViT architecture merging Diffusion with Transformer
support for large-scale scalable verification
compatibility with a wider range of modalities to expand multimodal general capabilities
How to Use
Step 1: Visit the official website or platform of the Vidu model
Step 2: Select the video duration and resolution according to your needs
Step 3: Enter or upload text descriptions, images, or video materials for video generation
Step 4: Confirm the temporal-spatial consistency requirements for video content
Step 5: Click the generate button, wait for the Vidu model to complete the generation of video content
Step 6: Preview the generated video content to ensure it meets your requirements
Step 7: If needed, perform minor adjustments and optimization of the video content
Step 8: Download or directly use the generated高清 video content
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