4 个仓库
Techniques specifically designed to improve the memory and speed efficiency of AI video synthesis models.
Distinct from AI Video Generators: Focuses on the optimization layer (quantization, caching) specifically for video generation, not general AI video generation.
Explore 4 awesome GitHub repositories matching artificial intelligence & ml · Video Generation Optimizations. Refine with filters or upvote what's useful.
LiveTalking is an interactive talking head engine and AI avatar management platform designed to synchronize synthetic speech with facial movements. It functions as a real-time orchestrator that connects large language models and text-to-speech services to neural-rendered digital humans. The project distinguishes itself through low-latency streaming capabilities and the ability to handle real-time conversational interruptions. It supports advanced audio-visual customization, including human voice cloning and the ability to drive avatar expressions using real-time webcam data. The platform cov
Manage resources and cache data to maintain high performance when generating long-form video content.
AniPortrait 是一个 AI 视频合成流水线,旨在生成照片级逼真的说话肖像和面部动画。它充当说话头像生成器和音频驱动的动画师,将唇部动作、表情和头部姿势与语音或参考视频源同步。 该系统包括一个面部表情迁移工具,用于将源视频中的动作重演到静态参考图像上。它利用带有参考图像调节的潜在扩散模型,在生成的帧中保持视觉身份和一致性。 该流水线涵盖音频到表情的映射、姿势引导的运动控制和照片级逼真的视频合成。它结合了帧插值上采样,以加速生成过程并减少总渲染时间。
Optimizes rendering speed and efficiency by utilizing frame interpolation during the video synthesis process.
LongCat-Video 是一系列专门用于视频合成的模型集合,采用基于大语言模型的架构,用于从文本、图像或现有序列创建高分辨率视频。它包括用于文本生成视频、图像生成视频动画以及创建数字人头像的专用系统。 该项目提供了通过视频延续模型延长现有剪辑长度的特定功能,该模型可以预测后续帧。它还支持将角色口型与音频和文本提示同步,以制作说话视频。 该系统结合了多种优化技术来管理生成效率,包括基于蒸馏的采样和量化,以减少内存使用和推理延迟。其他结构组件涵盖了潜在空间压缩和时空建模,以保持跨时间和空间的连贯性。
Optimizes AI video synthesis through distillation-based sampling and weight quantization.
Lingbot-world is an interactive world simulator and framework for generating high-fidelity video environments from text and image prompts. It functions as a video generation system designed to create controllable simulations for applications such as robotics learning and gaming. The project includes a video motion controller that directs camera and object movement using transformation matrices and action strings. It utilizes a quantized inference engine to reduce memory usage and accelerate the generation of video sequences. The system covers a range of optimization techniques, including fou
Improves the speed and memory efficiency of video models through four-bit quantization and KV-caching.