UniVideo is a unified AI platform for video understanding, generation, and editing, combining text-to-video, image-to-video, and complex video editing in a single multimodal framework.
What is UniVideo?
UniVideo revolutionizes video creation by unifying generation and editing into one workflow, powered by a dual-stream architecture of Multimodal Large Language Models (MLLM) for reasoning and Multimodal Diffusion Transformers (MMDiT) for generation. Users input text prompts or reference images and receive broadcast-quality videos with deep semantic understanding. Developed by the KlingTeam, UniVideo is open source and available via GitHub, HuggingFace, and a web platform at uni.video. The research paper is accessible at univideo.ai/univideo_paper.pdf.
Key Features
- Unified Framework: Handles text-to-video, image-to-video, and video editing (e.g., in-context manipulation, style transfer) without separate pipelines.
- Deep Semantic Understanding: MLLMs interpret nuanced instructions like "make the lighting warmer" or "change style to anime," ensuring precise video outputs.
- Precise Control: Edit specific elements—change backgrounds, modify objects, alter weather—using natural language while preserving temporal coherence.
- High Fidelity: Generates videos with consistent lighting, physics, and motion, suitable for professional use.
- In-Context Manipulation: Edit existing videos, such as changing seasons or swapping objects, while maintaining original structure.
- Style Transfer: Apply visual styles from reference images (e.g., Van Gogh) to any video.
- Camera Control: Specify pans, zooms, tilts, and tracking shots for cinematic results.
- Consistent Character ID: Keep characters looking the same across multiple generated clips for storytelling.
Who is it for?
- Professional video creators: Generate high-quality content from text or edit existing footage with natural language commands.
- Content marketers: Quickly produce promotional videos, adapt scenes, or change visuals to match brand guidelines.
- Film and animation studios: Use precise camera control and consistent character ID for pre-visualization or final shots.
- Digital artists: Animate static images and apply style transfers for creative projects.
What can you do with UniVideo?
- Text-to-Video: Turn descriptive prompts into high-motion videos with complex scenes and camera movements.
- Image-to-Video: Upload a photo and define motion to create seamless animations.
- In-Context Editing: Use text to modify elements (e.g., "remove the car") while keeping original structure.
- Style Transfer: Transform realistic scenes into artistic styles via reference images.
- Iterative Refinement: Keep the seed and change camera angle or keep composition and change subject—endless possibilities.
How does UniVideo work?
The workflow has three steps: (1) Input your vision via text or image; (2) Refine and edit with natural language instructions; (3) Generate and export HD video. Users can iterate by modifying seeds and parameters, enabling fluid creative exploration.
