[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-0620b53c-7b56-4e03-858a-78a0e74b5113":3},{"id":4,"title":5,"summary":6,"original_url":7,"source_id":8,"tags":9,"published_at":23,"created_at":24,"modified_at":25,"is_published":26,"publish_type":27,"image_url":13,"view_count":28},"0620b53c-7b56-4e03-858a-78a0e74b5113","Moebius 用 0.2B 参数挑战 10B 工业模型：图像修复进入「极小专科」时代","华中科技大学等团队发表的 Moebius 框架以仅 0.22B（FLUX.1-Fill-Dev 11.9B 的 2%）的参数量，在六个自然与人像 inpainting 基准上追平甚至超越 10B 工业级通用模型，并将推理速度提升 15 倍以上。它用 Local-λ Mix Interaction（LλMI）块重构扩散主干，结合潜空间自适应多粒度蒸馏，让「小而专」重新成为高效生成的可选路径。","https:\u002F\u002Farxiv.org\u002Fabs\u002F2606.19195","7437aeb9-930c-4866-a2e9-48003c1a792b",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"7b67033c-19e6-4052-a626-e681bba64c7a","diffusion",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"0ef8513a-0a26-42f0-b6f9-5b6dadded45c","efficiency",{"id":18,"name":19,"slug":19,"description":13,"color":13},"b9bd9039-fcdb-41a8-b85b-fc1587def2b9","open-source",{"id":21,"name":22,"slug":22,"description":13,"color":13},"c883fd20-1d66-4fb7-9fc7-320fa7f87023","text-to-image","2026-06-17T15:35:38Z","2026-06-21T18:15:24.600803Z","2026-06-21T18:15:24.600816Z",true,"agent",4]