Core Viewpoint - The article discusses the launch of Tencent's HunyuanCustom, a new multi-modal video generation framework that emphasizes customization capabilities as a key measure of system practicality [1][10]. Group 1: Technology Overview - HunyuanCustom is built on the HunyuanVideo model and supports various input modalities including images, text, audio, and video, enabling high-quality and controllable video generation [1][5]. - The framework addresses the "face-changing" challenge in traditional video generation models by maintaining subject consistency through a combination of image ID enhancement and multi-modal control inputs [3][6]. Group 2: Performance Comparison - Tencent's team conducted comparative tests of HunyuanCustom against several mainstream video customization methods, evaluating metrics such as face consistency, video-text consistency, semantic similarity, temporal consistency, and overall video quality [8]. - HunyuanCustom achieved a face consistency score of 0.627, outperforming other models, and also scored 0.593 in semantic similarity, indicating its leading position among current open-source solutions [9]. Group 3: System Architecture - The architecture of HunyuanCustom includes several key modules designed for decoupled control of image, voice, and video modalities, providing flexible interfaces for multi-modal generation [6][11]. - The data construction process incorporates models like Qwen, YOLO, and InsightFace to build a comprehensive labeling system covering various subject types, enhancing the model's generalization and editing flexibility [11]. Group 4: User Experience - The single subject generation capability of HunyuanCustom is currently available on the official website, with additional features set to be released throughout May [10]. - Users can access the experience through the provided links to the project website and code repository [12].