In traditional video generation, providing only one portrait reference image often leads to ID loss during the generation process, with the person's appearance or clothing "gradually deviating" in each frame. With just one portrait reference image, MAGREF-generated videos can accurately preserve identity characteristics while interpreting dynamic content across scenes and styles based on diverse text prompts, truly achieving "one image, a thousand faces" in digital expression. The power of MAGREF lies in its ability to: No matter who the input is, from which era, or whether the style is abstract, it can precisely replicate their identity characteristics, maintain consistency in the generated video, and render diverse actions, environments, and lighting atmospheres based on text instructions.