HappyHorse 1.0 tops video generation leaderboards

HappyHorse's rise to the top of the leaderboards marks a transition from modular "video-first, audio-later" pipelines to unified multimodal architectures that treat pixels and sound as a single sequence.

• –Uses a unified tokenization strategy for text, image, video, and audio, allowing for unprecedented coherence in synchronized sound effects and dialogue.
• –Outperformed major competitors like ByteDance’s Seedance 2.0 and Kuaishou’s Kling in blind testing on the Artificial Analysis leaderboard.
• –Led by Zhang Di, the visionary behind Kling, signaling Alibaba's aggressive strategy to dominate the high-end generative video market.
• –Includes a distilled 8-step version for faster inference, making 1080p generation viable on H100 infrastructure in under 40 seconds.