Haiper’s new 2.0 model combines speed and realism, offering ultra-realistic video and image generation in a swift manner.

Haiper, a GenAI platform for video and image creation, has released its Haiper 2.0 model, a powerful upgrade designed to produce hyper-realistic visuals more quickly and with smoother motion. By combining transformer-based models with diffusion techniques, Haiper 2.0 significantly improves both the quality and efficiency of its content generation. This launch follows Haiper’s rapid growth, having reached 4.5 million users in under a year.

A key feature of Haiper 2.0 is its enhanced temporal coherence, which smooths transitions between video frames, resulting in lifelike motion. The platform also supports high resolutions, with 4K on the way. With faster generation times, Haiper’s 2.0 addresses creators’ need for both quality and speed, especially for dynamic video content. As Haiper scales its neural architecture and perceptual diffusion transformer (DiT) models, it aims to set a new industry standard for GenAI video quality and generation speed.

To streamline video creation further, Haiper introduced Video Templates. It is a library of pre-designed formats. These templates cater to a range of uses, from product animations and logo reveals to social media trends like face swaps and popular dances. By uploading images directly into templates, users can quickly transform static images into professional, customizable videos. This tool removes the need for complex prompts. Offering a simpler, efficient path to personalized video content.

CEO Dr. Yishu Miao emphasized that Haiper’s improvements reflect user feedback, focusing on generation speed, realism, and consistency. With Haiper 2.0 and Video Templates, the platform now better supports a diverse user base. From hobbyists to enterprise clients—enabling more innovation and creativity in video GenAI.