Wan3.0 is an All-in-One reference-based video generation model that supports Text-to-Video, Image-to-Video (first frame/first-last frame), and Reference-based Video Generation. It can generate videos up to 30 seconds long at 30fps.
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Wan3.0 is an All-in-One reference-based video generation model that supports Text-to-Video, Image-to-Video (first frame/first-last frame), and Reference-based Video Generation. It can generate videos up to 30 seconds long at 30fps.
Wan3.0-Video-Prime is the high-speed version of Wan3.0’s video generation model. It matches the capabilities of the standard Wan3.0-Video model, supports comprehensive reference inputs across four modalities, generates videos up to 30 seconds long, and delivers immersive audiovisual experiences with significantly faster end-to-end performance.
Happy Horse 1.0 is described as an open-source state-of-the-art AI video generator with native joint audio-video generation — meaning the Happy Horse AI video model produces video frames and the corresponding audio track (dialogue, ambient sound, Foley) together in a single forward pass, rather than generating silent video and dubbing it afterward. According to community-compiled architecture notes, the model is built around a 15-billion-parameter unified self-attention Transformer that processes text, image, video, and audio tokens within a single token sequence. It is reportedly built without dedicated cross-attention branches and without a separate audio module. Combined with DMD-2 distillation, the distilled variant is reported to generate 1080p video in roughly 38 seconds on an NVIDIA H100, using only 8 denoising steps without classifier-free guidance.