FramePack is an innovative video diffusion architecture developed by Lvmin Zhang and Stanford's Maneesh Agrawala, designed to enable local AI-generated video creation using just 6GB of VRAM. Traditional diffusion models often require substantial memory resources, typically 12GB or more, limiting accessibility for users with mid-range hardware. FramePack addresses this by employing multi-stage optimization techniques that condense input frames into a fixed-length temporal context, significantly reducing GPU memory requirements. This advancement allows users with GPUs from the RTX 30, 40, or 50 series to generate high-quality, 60-second video clips at approximately 0.6 frames per second. Additionally, FramePack incorporates methods to minimize visual degradation over extended video durations and offers real-time visual feedback by displaying frames as they are generated. While it supports Linux operating systems, compatibility with older or non-NVIDIA GPUs has not been verified. With a 30 FPS cap, FramePack may not meet all professional needs but provides a powerful and accessible tool for casual users interested in creating AI-driven content, such as memes and GIFs, without relying on expensive cloud services.