HappyHorse

#1 on the Artificial Analysis Video Arena in both Text-to-Video and Image-to-Video, ranked by blind human preference votes!

Unified Audio and Video Synthesis

HappyHorse 1.0 simplifies the creative process by generating both high-quality video and synchronized sound effects directly from a single text prompt. By processing video and audio tokens within a unified Transformer sequence, the model ensures that auditory elements naturally align with on-screen actions (such as a splashing wave or engine noise), which helps reduce the need for additional audio post-production.

Consistent Image to Video Animation

For bringing static images to life, this model demonstrates strong performance on the Artificial Analysis Video Arena, including a notable Elo score of 1416 in the image to video (without audio) track. It focuses on maintaining character consistency and preserving environmental details, making it a practical option for animating concept art, portraits, and product photos.

Physics-Aware Motion Modeling

To address common visual issues like "unnatural", distorted movements in AI video, HappyHorse utilizes an optimized motion engine designed to respect real-world physics. This helps produce fluid human gaits, realistic fluid dynamics, and stable camera pans. By understanding physical constraints, the model significantly reduces the warping artifacts often seen in earlier generations of video tools.

Native Multilingual Prompt Understanding

As a native multimodal model, HappyHorse directly processes prompts in multiple languages (including English, Chinese, and Japanese) without relying on intermediate translation steps. This allows users to input culturally specific descriptions in their native language, helping to maintain the accuracy and subtle visual nuances of the original text prompt.

Originally posted: https://happyhorsesai.com/