| The multimodal large model HappyHorse (an open-source unified large model for text-to-video/image-to-video + audio)has recently been making waves on the international stage. After verification from multiple sources, the team behind it has been revealed: they are from the Tobao and Tmall Group (TTG) Future Life Labled by ang Di(The lab was created by the ATH-AI Innovation Business Department and has since become an independent entity). ofile of Zhang Di: He holds both a Bachelor's and Master's degree from Shanghai Jiao Tong University. He is the head of the TTG Future Life Lab (Rank: P11) and reports to Zheng Bo, Chief Scientist of TTG and CTO of Alimama. He previously served as the lead (No. 1 position) for Kuaishou’s ing.d prior to that, he was the head of Big Data and Machine Learning Engineering Architecture at Alimama. P.S.
[Basic Information]
[Video Parameters] Resolution: 1280×720 (720p) Frame Rate: 24fps Duration: 5 seconds [Audio Capabilities] Native Synchronous Generation: Sound effects / Ambient sound / Voiceover Supported Languages: Chinese, English, Japanese, Korean, German, French [Open Source Status] Fully Open Source: Base model + Distilled model + Super-resolution + Inference code Source: https://mp.weixin.qq.com/s/n66lk5q_Mm10UYTnpEOf3w?poc_token=HKwe1mmjFX-RhveuVjk_MbRgFTcirVE2tKrRP_gS [link] [comments] |
HappyHorse maybe will be open weights soon (it beat seedance 2.0 on Artificial Analysis!)
Reddit r/LocalLLaMA / 4/8/2026
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Key Points
- HappyHorse is described as a multimodal, open-source unified model for text-to-video, image-to-video, and audio, developed by the TTG Future Life Lab under Taobao/Tmall Group (TTG).
- The post claims the model uses a “single transformer” approach with CFG-less (classifier-free guidance-less) inference and is reported to use 8 inference steps.
- Reported generation specs include 1280×720 (720p) resolution, 24fps, and 5-second clips, with audio generation supporting sound effects, ambient sound, and voiceover across multiple languages.
- The article suggests the team may release HappyHorse 1.0 on the 10th and possibly publish multiple model variants, after intensive testing and earlier leaked information.
- It states HappyHorse is planned to be fully open source, including the base model, distilled model, super-resolution components, and inference code.
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