Alibaba released the I2VGen-XL image generation video model in November, and its code and model are finally officially open source. The model uses a two-stage processing method. The first stage ensures semantic coherence, and the second stage improves video detail and resolution by integrating short text. Through massive data training, I2VGen-XL has demonstrated higher semantic accuracy, detail continuity and clarity in the field of video generation, bringing new breakthroughs in the field of image to video generation.
Alibaba announced the open source I2VGen-XL image generation video model in a paper published in November, and now it has finally released the specific code and model. The model is processed through two stages, first a base stage to ensure semantic coherence, and then an optimization stage to improve video detail and improve resolution by integrating short text. The research team collected a large amount of data for optimization, so that the I2VGen-XL model has higher semantic accuracy, detail continuity and clarity in generating videos. Detailed code can be found on GitHub.The open source of the I2VGen-XL model provides valuable resources for researchers and developers and helps promote the further development of image generation video technology. Its efficient processing flow and excellent generation effects indicate the huge potential of AI-generated video technology in the future. Look forward to more innovative applications based on I2VGen-XL.