字節跳動與清華大學聯合推出開源框架HuMo，專注於人體視頻生成。該框架支持文本、圖像和音頻多模態輸入，協同生成高質量視頻。其名稱“Human-Modal”體現了以人類活動爲核心的理念，並通過構建高質量數據集推動該領域發展。
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Alissonerdx
HuMo是一個統一的、以人為中心的視頻生成框架，能夠根據文本、圖像和音頻等多模態輸入，生成高質量、細粒度且可控的人類視頻。它支持強大的文本提示跟隨、一致的主體保留以及同步的音頻驅動運動。
VeryAladeen
HuMo是一個以人為中心的視頻生成框架，能夠利用文本、圖像和音頻等多模態輸入生成高質量、細粒度且可控的人類視頻，支持文本提示跟隨、主體保留和音頻驅動運動同步。
njwright92
ComicBot是一款基於Mistral 7B v2微調的喜劇內容生成與分析AI模型，專為Humor Hub應用設計，能夠創作笑話、優化笑點並提供喜劇內容推薦。
mohameddhiab
基於distilbert-base-uncased微調的幽默檢測模型，在評估集上F1分數達0.9537
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