V
VideoCrafter
AILab-CVC/VideoCrafter
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
★5.1kstars
Python
NOASSERTION
Updated: 2d ago
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Models category, core strengths: image-to-video/text-to-video
Who made it?Maintained by AILab-CVC team, 5.1K⭐ on GitHub, #287 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the AILab-CVC team identified the need for better image-to-video solutions. VideoCrafter was created to simplify text-to-video workflows.
What can it do?Key use cases: video-generation
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/AILab-CVC/VideoCrafter | 官网 https://ailab-cvc.github.io/videocrafter2/
🔗 github.com/AILab-CVC/VideoCrafter | 官网 https://ailab-cvc.github.io/videocrafter2/
Topics
image-to-videotext-to-videovideo-generation