showlab/Tune-A-Video

[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

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Tune-A-Video This repository is the official implementation of Tune-A-Video. Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Stan Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou Given a video-text pair as input, our method, Tune-A-Video, fine-tunes a pre-trained text-to-image diffusion model for text-to-video generation. News 🚨 Announcing LOVEU-TGVE: A CVPR competition for AI-based...
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