
HappyHorse is a leading open-source AI video generation model with 15 billion parameters that jointly produces high-quality 1080p videos and synchronized audio from text or image prompts, currently topping the Artificial Analysis Video Arena leaderboard.

[Core Function] HappyHorse 1.1 R2V is Alibaba's latest reference-image-to-video model. [Strengths] It uses 1-9 reference images to preserve subject or character appearance while generating new video actions, supports 720P/1080P output, 3-15 second duration, and expanded aspect ratios including 4:5, 5:4, 9:21, and 21:9. [Best For] Highly recommended for: character-consistent storytelling, reference-based product shots, and multi-image subject composition. [Limitations] Do NOT use if the user simply wants to animate a single image exactly as provided; use HappyHorse I2V instead. [Routing] Use when the user provides one or more reference images and asks for a newly generated HappyHorse video.

[Core Function] HappyHorse 1.1 I2V is Alibaba's latest streamlined first-frame image-to-video model. [Strengths] It turns a single image into high-quality 720P/1080P video with native audio support and 3-15 second duration; output aspect ratio follows the first frame image. [Best For] Highly recommended for: rapid image animation, product motion previews, and simple character or scene animation. [Limitations] It does not accept an explicit ratio parameter; use T2V or R2V when you need a fixed generated aspect ratio. [Routing] Prefer this model when the user provides one image and requests HappyHorse image animation.

[Core Function] HappyHorse 1.1 T2V is Alibaba's latest streamlined text-to-video model. [Strengths] It generates 720P/1080P video with native audio support, 3-15 second duration, and an expanded set of aspect ratios including 4:5, 5:4, 9:21, and 21:9. [Best For] Highly recommended for: fast HappyHorse text-to-video generation, social video formats, and high-throughput content creation. [Limitations] It does not expose custom audio controls; use Wan 2.7 T2V when custom audio input is required. [Routing] Prefer this model when the user explicitly requests HappyHorse text-to-video or wants the latest HappyHorse generation quality.

[Core Function] HappyHorse 1.0 Video Edit is a streamlined video editing model. [Strengths] It provides high-quality video editing capabilities (with or without reference images) within the highly optimized HappyHorse architecture. [Best For] Highly recommended for: fast, high-quality video modifications, especially when the user explicitly requests HappyHorse. [Limitations] May lack the deep instruction-based logical replacement mechanics of Wan 2.7 Video Editing. [Routing] Route to this model when the user explicitly requests 'HappyHorse' for their video editing task.

[Core Function] HappyHorse 1.0 R2V is a reference-to-video model. [Strengths] It excels at maintaining character consistency using up to 9 reference images while generating new video actions based on a prompt. [Best For] Highly recommended for: character-consistent storytelling and generating multiple scenes with the same subject. [Limitations] Do NOT use if you simply want to animate a single image exactly as it is (use HappyHorse I2V instead). [Routing] Use this when the user provides reference images to dictate character/subject appearance in a newly generated action.

[Core Function] HappyHorse 1.0 I2V is a streamlined image-to-video model. [Strengths] It generates high-quality 720P/1080P video (3-15s) from an image efficiently, with native audio support. [Best For] Highly recommended for: rapid image animation and robust character motion. [Limitations] Does not support complex video continuation like Wan 2.7 I2V. [Routing] Use when the user requests 'HappyHorse' or a streamlined image animation.

[Core Function] HappyHorse 1.0 T2V is a breakout, highly optimized text-to-video model. [Strengths] It provides streamlined, fast, and high-quality video generation (up to 15s at 1080p) with native audio support, acting as a highly efficient alternative to Wan 2.7. [Best For] Highly recommended for: fast experimentation, rapid content creation, and users specifically requesting 'HappyHorse'. [Limitations] Might lack some of the deeply integrated legacy editing features found strictly within the broader Wan 2.7 ecosystem. [Routing] Route to this model when the user explicitly mentions 'HappyHorse' or desires a streamlined, high-performance alternative to Wan.