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\n","updatedAt":"2025-09-23T01:34:55.799Z","author":{"_id":"63d3e0e8ff1384ce6c5dd17d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/1674830754237-63d3e0e8ff1384ce6c5dd17d.jpeg","fullname":"Librarian Bot (Bot)","name":"librarian-bot","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":264}},"numEdits":0,"identifiedLanguage":{"language":"en","probability":0.7054662704467773},"editors":["librarian-bot"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/1674830754237-63d3e0e8ff1384ce6c5dd17d.jpeg"],"reactions":[],"isReport":false}},{"id":"68d218769a749aa9e16e905a","author":{"_id":"620f5a1c3f76c50e6458a9b6","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/620f5a1c3f76c50e6458a9b6/pXh_f5F0UvufxuUa-eS-v.jpeg","fullname":"Peiyu Wang","name":"OrlandoHugBot","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"followerCount":8},"createdAt":"2025-09-23T03:48:06.000Z","type":"comment","data":{"edited":false,"hidden":false,"latest":{"raw":"please cit Skywork UniPic as previous work.","html":"

please cit Skywork UniPic as previous work.

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and\ngenerate visual content hold immense potential. However, existing open-source\nmodels often suffer from a performance trade-off between these capabilities. We\npresent Manzano, a simple and scalable unified framework that substantially\nreduces this tension by coupling a hybrid image tokenizer with a well-curated\ntraining recipe. A single shared vision encoder feeds two lightweight adapters\nthat produce continuous embeddings for image-to-text understanding and discrete\ntokens for text-to-image generation within a common semantic space. A unified\nautoregressive LLM predicts high-level semantics in the form of text and image\ntokens, with an auxiliary diffusion decoder subsequently translating the image\ntokens into pixels. The architecture, together with a unified training recipe\nover understanding and generation data, enables scalable joint learning of both\ncapabilities. Manzano achieves state-of-the-art results among unified models,\nand is competitive with specialist models, particularly on text-rich\nevaluation. Our studies show minimal task conflicts and consistent gains from\nscaling model size, validating our design choice of a hybrid tokenizer.","upvotes":48,"discussionId":"68d0a9f68adc5cd018d15aa0","ai_summary":"Manzano is a unified multimodal LLM framework that integrates image and text processing using a hybrid tokenizer and diffusion decoder, achieving state-of-the-art performance in both understanding and generating visual content.","ai_keywords":["multimodal Large Language Models","hybrid image tokenizer","vision encoder","lightweight adapters","continuous embeddings","discrete tokens","semantic space","unified autoregressive LLM","diffusion decoder","joint learning","text-rich evaluation","task conflicts"]},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"6039478ab3ecf716b1a5fd4d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6039478ab3ecf716b1a5fd4d/_Thy4E7taiSYBLKxEKJbT.jpeg","isPro":true,"fullname":"taesiri","user":"taesiri","type":"user"},{"_id":"6270324ebecab9e2dcf245de","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6270324ebecab9e2dcf245de/cMbtWSasyNlYc9hvsEEzt.jpeg","isPro":false,"fullname":"Kye Gomez","user":"kye","type":"user"},{"_id":"640e3a753830fd441c2c768d","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/640e3a753830fd441c2c768d/qztg6ML-c87VD8HajREsH.jpeg","isPro":false,"fullname":"Bowen Pan","user":"bpan","type":"user"},{"_id":"631516348d85ad332fa47b2c","avatarUrl":"/avatars/100f5ae3cf3c52faaecdaecd5d8f2881.svg","isPro":false,"fullname":"Haotian Zhang","user":"haotiz","type":"user"},{"_id":"6266e8afe14b376cb73c460d","avatarUrl":"/avatars/dccb08791896527745682bcb4ee71a48.svg","isPro":false,"fullname":"Zi-Yi Dou","user":"zdou0830","type":"user"},{"_id":"66b5295f83425904fa7a1a6a","avatarUrl":"/avatars/a35568fb933ceef7451bd88fb3d5ab17.svg","isPro":false,"fullname":"Zhengfeng Lai","user":"jefflai","type":"user"},{"_id":"656c2fa772c19de72367bd69","avatarUrl":"/avatars/540bb3d8a2afe2ef927b80d895cae28b.svg","isPro":false,"fullname":"Alex Yang","user":"yyf86","type":"user"},{"_id":"620783f24e28382272337ba4","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/620783f24e28382272337ba4/zkUveQPNiDfYjgGhuFErj.jpeg","isPro":false,"fullname":"GuoLiangTang","user":"Tommy930","type":"user"},{"_id":"68d0cd691a9bcb17ad2bd300","avatarUrl":"/avatars/9711605539215f4db38335fc7f9f2f7c.svg","isPro":false,"fullname":"Haoshuo Huang","user":"haosoul122","type":"user"},{"_id":"65570843c4865c852d541688","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/noauth/AEGlyozNi3YGSbdcJLmOL.jpeg","isPro":false,"fullname":"Chang Gao","user":"changgy","type":"user"},{"_id":"6407e5294edf9f5c4fd32228","avatarUrl":"/avatars/8e2d55460e9fe9c426eb552baf4b2cb0.svg","isPro":false,"fullname":"Stoney Kang","user":"sikang99","type":"user"},{"_id":"6733d71ec504dbf468d27be4","avatarUrl":"/avatars/d91e781d8c4142a4d8c6ee63937ef18f.svg","isPro":false,"fullname":"ruiqian","user":"t2iwarrior","type":"user"}],"acceptLanguages":["*"],"dailyPaperRank":2}">