HappyHorse 1.1 vs HappyHorse 1.0 : Better Motion, Better Consistency?
Blog post from Atlas Cloud
AI video generation models are rapidly advancing, with Alibaba's recent release of HappyHorse 1.1 offering several improvements over its predecessor, HappyHorse 1.0. This upgraded model enhances motion performance, reference-to-video generation, long-prompt control, visual realism, and audio synchronization, making it particularly suited for complex tasks such as sports videos, cinematic action shots, and multi-character scenes. HappyHorse 1.1 supports up to nine reference images for consistent brand visuals and improves facial details and natural skin textures in close-ups, while its audio generation capabilities now deliver better dialogue rhythm and ambience for a more cohesive audiovisual experience. Priced at ¥0.9/sec for 720P and ¥1.2/sec for 1080P in China, with international rates at $0.14/sec and $0.18/sec, it also offers a 40% launch discount. While HappyHorse 1.0 remains effective for simpler tasks, HappyHorse 1.1 is recommended for projects involving complex motions, detailed references, longer narratives, and audio integration, providing users with more reliable and realistic outcomes when evaluated through hands-on testing.
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