Recently, Meituan officially released its latest video generation model - LongCat-Video, marking an important step in the field of artificial intelligence. LongCat-Video aims to help AI better understand and reconstruct the real world, promoting the advancement of world models. As an intelligent system capable of simulating physical laws and scene logic, LongCat-Video provides AI with the ability to "see" the essence of how the world operates.
The model is based on the Diffusion Transformer (DiT) architecture, capable of handling various video generation tasks, including text-to-video generation, image-to-video generation, and video continuation. Its unique feature is that different generation tasks do not require additional model adaptation, forming a complete task loop. For example, text-to-video generation can produce high-definition videos at 720p and 30fps, accurately interpreting text instructions, and demonstrating excellent semantic understanding and visual presentation capabilities. Image-to-video generation strictly preserves all features of the reference image, ensuring that the dynamic process follows physical laws. Video continuation is one of the core advantages of LongCat-Video, capable of continuing videos based on multi-frame preceding content, providing strong technical support for long video generation.
LongCat-Video has outstanding long video generation capabilities, able to continuously output videos up to 5 minutes long without any quality loss during the generation process. The model effectively avoids color drift and quality degradation through advanced technical means, ensuring temporal consistency across frames and physical movement rationality. In addition, LongCat-Video combines block sparse attention and conditional token caching mechanisms, significantly improving the efficiency of long video generation, solving the contradiction between length and quality in previous long video generation.
In high-resolution and high-frame-rate video generation, LongCat-Video enhances inference speed through multiple optimization strategies, ensuring the best balance between generation quality and efficiency. The model has demonstrated excellent general performance through rigorous internal and public benchmark tests, achieving leading levels in the open-source field.
The release of LongCat-Video opens up a new journey for creators in long video creation, making video generation simpler and more efficient.
🌟GitHub:
https://github.com/meituan-longcat/LongCat-Video
🌟Hugging Face:
https://huggingface.co/meituan-longcat/LongCat-Video
🌟Project Page:
https://meituan-longcat.github.io/LongCat-Video/
Key Points:
🌟 LongCat-Video is a video generation model launched by Meituan, aimed at promoting AI's understanding of the real world.
🎥 The model supports three core tasks: text-to-video generation, image-to-video generation, and video continuation, achieving high-quality video generation.
⚡ LongCat-Video has significant advantages in long video generation, capable of stably outputting 5-minute continuous videos.
