字节跳动与清华大学联合推出开源框架HuMo，专注于人体视频生成。该框架支持文本、图像和音频多模态输入，协同生成高质量视频。其名称“Human-Modal”体现了以人类活动为核心的理念，并通过构建高质量数据集推动该领域发展。
Carry Humor With You
Alissonerdx
HuMo是一个统一的、以人为中心的视频生成框架，能够根据文本、图像和音频等多模态输入，生成高质量、细粒度且可控的人类视频。它支持强大的文本提示跟随、一致的主体保留以及同步的音频驱动运动。
VeryAladeen
HuMo是一个以人为中心的视频生成框架，能够利用文本、图像和音频等多模态输入生成高质量、细粒度且可控的人类视频，支持文本提示跟随、主体保留和音频驱动运动同步。
njwright92
ComicBot是一款基于Mistral 7B v2微调的喜剧内容生成与分析AI模型，专为Humor Hub应用设计，能够创作笑话、优化笑点并提供喜剧内容推荐。
mohameddhiab
基于distilbert-base-uncased微调的幽默检测模型，在评估集上F1分数达0.9537
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