https://github.com/showlab/Tune-A-Video

[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation
https://github.com/showlab/Tune-A-Video

Last synced: about 2 months ago
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[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

• Host: GitHub
• URL: https://github.com/showlab/Tune-A-Video
• Owner: showlab
• License: apache-2.0
• Created: 2022-12-25T08:00:04.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2023-10-25T02:00:06.000Z (11 months ago)
• Last Synced: 2024-06-01T08:32:03.598Z (4 months ago)
• Language: Python
• Homepage: https://tuneavideo.github.io
• Size: 2.81 MB
• Stars: 4,114
• Watchers: 49
• Forks: 371
• Open Issues: 32
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-diffusion-categorized - [Code
• ai-game-devtools - Tune-A-Video - Shot Tuning of Image Diffusion Models for Text-to-Video Generation. |[arXiv](https://arxiv.org/abs/2212.11565) | | Video | (<span id="video">Video</span> / <span id="tool">Tool (AI LLM)</span>)
• project-awesome - showlab/Tune-A-Video - [ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation (Python)