Vidu, a video big data technology company, has released a video model that can generate 16-second 1080P videos.

What is Vidu?

Vidu is an AI video generation platform launched by Shengshu Technology. It integrates advanced models such as Vidu Q2 and supports image-generated, text-generated, and reference-generated video functions. Users can generate digital character videos with nuanced expressions and vivid acting by uploading images, inputting text, or referencing videos. The platform offers a professional mode, supporting customization of video length, resolution, and other parameters, and comes equipped with a rich library of AI templates and sound effects. Vidu also features an activity section where users can participate in activities to earn points and cash rewards, increasing interactivity and fun.

Vidu's main functions

• Text to VideoUsers simply need to enter a text description, and Vidu can transform it into vivid video content.
• Image to videoAfter uploading a static image, Vidu can animate it to generate a video with animated effects.
• Reference video generationUsers can upload reference videos or images, and Vidu can generate consistent videos based on their style and subject characteristics.
• Multi-subject consistencyIt supports maintaining consistency among multiple subjects in a video, making it suitable for creating complex scenarios.
• High-quality video outputIt can generate high-definition videos up to 16 seconds long with a resolution of up to 1080P.
• Dynamic scene capture and physics simulationIt can generate complex dynamic scenes and simulate the lighting effects and physical behavior of objects in the real world.
• Rich creative generationBased on text descriptions, it can create imaginative and surreal scenes.
• Intelligent Ultra HD FunctionAutomatically repairs and enhances the clarity of existing videos.
• Rich parameter configurationUsers can customize the style, duration, resolution, motion amplitude, etc. of the video.
• Multi-camera generationIt supports generating videos with various shots, including long shots, close-ups, medium shots, and extreme close-ups, offering rich perspectives and dynamic effects.
• Understanding Chinese elementsIt can understand and generate elements with Chinese characteristics, such as pandas and dragons, to enrich cultural expression.
• Fast reasoning speedIn actual testing, it only takes about 30 seconds to generate a 4-second video clip, providing industry-leading generation speed.
• Diverse stylesIt supports multiple video styles, including realistic and anime styles, to meet the needs of different users.
• AI templateVidu's AI template feature provides users with a series of preset video templates, simplifying the video creation process and accelerating production efficiency.
• AI sound effectsVidu integrates an AI-generated sound effects library, allowing users to add appropriate sound effects to videos and enhance the audiovisual experience.

Vidu's technical principles

• Diffusion technologyDiffusion is a generative modeling technique that generates high-quality images or videos by progressively introducing noise and learning how to reverse the process. Vidu utilizes diffusion technology to generate coherent and realistic video content.
• Transformer architectureThe Transformer is a deep learning model originally designed for natural language processing tasks. Due to its powerful performance and flexibility, it has since been widely applied in fields such as computer vision. Vidu incorporates the Transformer architecture to process video data.
• U-ViT architectureU-ViT is the core of the Vidu technology architecture, an innovative architecture that integrates Diffusion and Transformer. Proposed by the Shengshu Technology team, U-ViT is the world's first such integrated architecture, combining the generative capabilities of Diffusion models with the perceptual capabilities of Transformer models.
• Multimodal diffusion model UniDiffuserUniDiffuser is a multimodal diffusion model developed by Shengshu Technology based on the U-ViT architecture, which verifies the scalability of the U-ViT architecture when handling large-scale vision tasks.
• Long video representation and processing technologyBased on the U-ViT architecture, Vidu has made further breakthroughs in key technologies for long video representation and processing, enabling it to generate longer and more coherent video content.
• Bayesian machine learningBayesian machine learning is a statistical learning method that uses Bayes' theorem to update the probability estimates of a model. During the development of Vidu, the team utilized Bayesian machine learning techniques to optimize model performance.

How to use Vidu

• Registration and LoginVisit Vidu's official website (vidu.cn) or download the Vidu APP, register an account and log in.
• Select generation modeOn the page, select either "Text-based Video" or "Image-based Video" mode.
• Text-to-VideoThe user inputs a text description, and Vidu generates a video based on the text content. This is suitable for creating video content from scratch.
• Image-to-VideoUsers upload images, and Vidu generates videos based on the image content. There are two sub-modes:
  • "Reference Start Frame": Uses the uploaded image as the start frame of the video and generates the video based on it.
  • “Reference Person Role”: Identify the person in the image and maintain the consistency of that person in the generated video.
• Enter text or upload an image:
  • For text-based videos, input detailed descriptive text, including scene, actions, style, etc.
  • For image-generated videos, upload an image and select the appropriate generation mode.
• Adjust generation parametersAdjust the video's duration, resolution, style, and other parameters as needed.
• Generate videoClick the "Generate" button, and Vidu will process the input text or image to start generating the video.

Vidu's target audience

• Video producersThis includes filmmakers, advertising creatives, video editors, and others who can use Vidu to quickly generate creative video content.
• Game developersGame developers who need to generate realistic dynamic backgrounds or story animations in game design.
• Educational institutionsTeachers and educational technology companies can use Vidu to create educational videos, simulated teaching scenarios, or scientific visualizations.
• ResearchersResearchers in the scientific field can use Vidu to simulate experimental scenarios to help demonstrate and understand complex concepts.
• Content creatorsSocial media influencers, bloggers, and independent video creators can use Vidu to generate engaging video content.

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