Meitu's AI Agent RoboNeo Integrates Alibaba's HappyHorse Model, Video Creation Capabilities Achieve Comprehensive Upgrade

RoboNeo, an AI agent under Meitu Company, officially announced on April 28th that it has integrated the multimodal video generation model HappyHorse developed by Alibaba's ATH Innovation Division. By combining the capabilities of Seedance 2.0, RoboNeo has significantly upgraded the experience of product video creation. This technological iteration marks a further expansion of video creation possibilities for RoboNeo, following its previous achievements in continuous shot generation, audio-visual synchronization, and material consistency control.

As a core product of Meitu's layout in the AI field, RoboNeo has shown strong global performance since its launch in July 2025. According to a report by UBS, it achieved nearly a fourfold global month-over-month growth in March 2026 and frequently topped app store charts in multiple countries.

The integration of the HappyHorse model not only represents a continued "stacking" of Meitu's underlying capabilities but also reflects the trend of deep collaboration between domestic AI application layers and large model underlying technologies. As video generation technology evolves from single-frame to complex semantic understanding and long-form video creation, RoboNeo is accelerating the reduction of the barrier to high-quality video creation by integrating the intelligent control capabilities of Seedance 2.0 with the multimodal generation advantages of HappyHorse.

Aliyun's HappyHorse Goes Viral! Chinese Online Quickly Enters the Market

The Alibaba ATH Innovation Division has launched a new multimodal video generation model called HappyHorse, which has now entered a gradual testing phase. The model has demonstrated excellent performance in the three core rankings of Arena.ai (text-to-video, image-to-video, and video editing). It possesses cinematic quality and deep semantic understanding capabilities, supports 1080P ultra-high definition output, and can accurately handle various visual styles such as Hong Kong-style atmosphere and classical costumes, becoming a strong competitor in the global AI video field.

Qwen APP's Grey Test of HappyHorse, A One-Tap TVB Hong Kong Style Short Film AI Video Model

On April 27th, the Qwen APP launched a grey test of the video model HappyHorse. Users can experience it by clicking the button at the bottom of the homepage. This model excels in narrative ability, audio-visual synchronization, and style diversity. During the internal testing period, a large number of TVB Hong Kong style, CCTV Three Kingdoms style, and old movie style short films were generated. Users can create similar videos with a single prompt. It is particularly skilled in producing plot-based videos, requiring only a simple description to automatically generate multi-scene content.

Qwen AI PPT Major Upgrade: Agent Architecture Empowers Full-Process Automated Creation

Qwen AI PPT completed a major upgrade of the "PPT Agent" on April 22nd, adopting a new agent architecture to achieve full-process automated creation, from content concepting, material retrieval to visual formatting. After users input their requirements, a standard downloadable PPT file can be generated within 1-3 minutes, and supports batch uploading of up to 10 files (including documents), significantly improving work efficiency and quality.

Emergence of a Personal Application Ecosystem: Lingguang App Invests 100 Million Yuan in Creator Incentive Program

Ant Lingguang App launched the 'Lingguang Flash Application Creator Incentive Program', investing 100 million yuan to support high-quality flash applications and creators. The program will start on April 20th, offering up to 1 million yuan per day to reward 10,000 high-quality applications, and up to 1 million yuan per week to reward 100 outstanding creators.

NVIDIA Releases Lyra 2.0: Generate 90-Meter 3D Environments from a Single Photo, Outperforming Competitors in Multiple Metrics

NVIDIA released the Lyra 2.0 system, which can generate large-scale, highly coherent 3D virtual environments extending up to 90 meters from a single photo, solving issues of image distortion in long-distance camera paths. This technological breakthrough marks significant progress in AI's understanding of 3D spaces and real-time environment simulation, especially meeting the urgent demand for high-quality virtual scenes in embodied intelligence training.