从分钟级等待到20倍超速：LightX2V重写AI视频生成速度上限

Core Viewpoint - The LightX2V project has gained significant popularity in the ComfyUI community, achieving over 1.7 million downloads in a single month, enabling creators to generate high-quality videos in real-time on consumer-grade graphics cards [2][7]. Group 1: Technology and Performance - LightX2V utilizes a comprehensive inference technology stack aimed at low-cost, high-real-time video generation, achieving near 1:1 real-time video generation [2][7]. - The project features a dual-core algorithm: Phased DMD step distillation and LightVAE, which work together to compress the video diffusion process from 40-50 steps to just 4 steps while maintaining time consistency and motion details [10][11]. - LightVAE is designed to meet the dual demands of throughput and resolution in video generation, effectively reducing encoding and decoding overhead while maintaining high-quality visuals [12]. Group 2: System Optimization - After algorithmic compression, LightX2V employs a full-stack inference framework to enhance performance, making it efficient for both single-card and multi-card deployments [14][16]. - Key technologies include low-bit operators, sparse attention, and feature caching, which collectively reduce memory requirements to below 8GB, allowing entry-level consumer cards to run the system [21]. Group 3: Ecosystem and Applications - LightX2V supports a range of mainstream video generation models and is integrated with ComfyUI, allowing users to easily access accelerated inference through a familiar graphical interface [19][21]. - The project caters to various user needs, from individual creators to enterprise-level applications, enabling functionalities such as image-to-video and text-to-video generation [19][21]. - LightX2V is compatible with a variety of hardware, including both NVIDIA and domestic AI chips, facilitating localized and large-scale deployments [21].