HappyHorse

HappyHorse is an open-source AI video model for generating video and audio together in one pass. Its page describes it as a cinematic video model and as an AI video generator, with text-to-video and image-to-video workflows.

The model’s core feature set centers on joint audio-video generation inside a single 40-layer Transformer. It supports prompt translation, native 1080p and 2K output, and a built-in super-resolution module for further upscaling. The page also states that dialogue, ambient sound, and Foley effects are generated alongside video frames. Other listed capabilities include 8-step fast inference, realistic motion, seamless transitions, multi-shot narrative generation, and native lip-sync in Mandarin, Cantonese, English, Japanese, Korean, German, and French. It also mentions diverse visual styles such as photorealistic, anime, cyberpunk, and watercolor.

HappyHorse accepts uploaded images and reference media, including JPG, PNG, and WEBP images up to 50MB, MP4 and MOV reference video, and MP3 and WAV reference audio. The interface offers ratio options from 16:9 to 21:9, durations from 4 to 15 seconds, and resolution choices of 480p and 720p. The page also says generation takes about 5 to 9 minutes per video. It presents the product as suitable for professional creators, light and occasional use, high-volume production, teams, and commercial workflows, and it includes a testimonial from a short film director, a social media manager, and an indie game developer.

Pricing is shown as credit-based plans and one-time packs, with monthly, annual, and one-time billing options. The listed plans are Basic, Pro, Max, and Ultra, each with different credit amounts, storage, generation speed, concurrency, batch generation, and support levels. The plan text also names watermark-free outputs, commercial use licenses on higher tiers, team and commercial licenses for Ultra, and API plus bulk export access on the Ultra plan. The page says the base model, distilled model, super-resolution module, and inference code are all released under a commercial-friendly license, and it supports deployment on users’ own GPU infrastructure.