Every HappyHorse post, filterable by category, sortable by date, searchable by keyword.
HappyHorse 1.0 sits at 1333 Elo on Artificial Analysis T2V, 60 points clear of Seedance 2.0 and further ahead of Veo 3.1. Here is what that gap actually looks like in clips, and where Veo still wins.
HappyHorse responds to a specific prompt grammar. Lead with the shot type, anchor the subject, describe motion in one verb per beat, and end with lighting. Here is the pattern that lands.
HappyHorse I2V tops the Artificial Analysis leaderboard at 1392 Elo. The reason is how well it holds the first frame's identity across a 5-second clip. Here is how to feed it a frame and get a usable shot.
HappyHorse ships native audio across Chinese, English, Japanese, Korean, German, French, and Cantonese with ultra-low WER lip sync. Here is how the unified architecture handles it and what to write into your prompt.
You do not pick a video model by staring at a leaderboard. You pick it by answering four questions about the job.
HappyHorse 1.0 synthesizes audio and video in one pass, off one latent trajectory, with lip sync that holds across seven languages. That sounds like a feature you always want on.