AIGC Chain Documents
  • 🌁Introduction
    • Introduction
    • Solutions
    • Who are AIGC Chain’s contributors?
    • AIGC Chain Roadmap
  • 🎇diffusion models
    • Diffusion Models
    • Unique architecture Modules
    • Comparison with other Diffusion Models
    • Use case for infrastructure
  • 🧲Incentive models
    • Why are users deciding to build here?
    • Domain knowledge contribution
    • GPU and storage contribution
  • 🧮Capabilities
    • 2D Profile Picture (PFP, DID and NFT)
    • 2D Utilities
      • Editing Skill
      • Merging subjects for new creation
      • Combining artistic styles to create something new
      • Optimizing graphics and industrial design
  • Text to Video
  • 3D/metaverse capabilities
  • 🪙FINANCIAL BASED SECTIONS
    • Tokenomics
    • Metanaunt NFT
  • 💿Resources
    • Social Media
    • TERMS OF SERVICE
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Text to Video

PreviousOptimizing graphics and industrial designNext3D/metaverse capabilities

Last updated 2 years ago

Text to video generation is an active area of research in artificial intelligence. AIGC Chain models generate a sequence of images that correspond to the words in the text input. The generated images are then combined into a video by arranging them in a sequence to play back in rapid succession. As researchers continue to test and improve text-to-video generation technologies, it opens up opportunities for users to use in a variety of ways. For example, individuals and businesses could use these technologies to create personalized videos for social media or marketing.