[{"data":1,"prerenderedAt":159},["ShallowReactive",2],{"project-47038551":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":20,"keywords":22,"reception":27,"sentiment":28,"stance_mix":29,"scored_comments":15,"aspects":33,"strip":37,"post_text":38,"what":39,"said":69,"maker_in_thread":106,"shape":108,"grid":111,"attempts":121,"same_week":122,"maker_shows":31,"maker_hidden":151,"reader_version":152,"card":153},"47038551","Diffuji","a diffusion-powered instant camera","title","Show HN: Diffuji – a diffusion-powered instant camera","https:\u002F\u002Fdiffuji.com\u002F","diffuji.com","nathan-barry",1771267331,2026,8,5,3444,4366,79,"shown","hardware","instant camera",[21,23,24,25,26],"diffusion model","raspberry pi","thermal printer","img2img","curious",-0.051,{"positive":30,"neutral":31,"mixed":32,"critical":30},1,3,0,{"idea":34,"privacy":35,"performance":36},{"positive":30,"critical":32},{"positive":32,"critical":30},{"positive":32,"critical":32},[15,31,30,31,31],null,{"problem":38,"audience":38,"pricing":38,"motivation":40,"time_to_build":38,"stack":48,"openness":67,"stage":67,"team_size":68},{"value":41,"source":42,"evidence":43},"Experiment with mixing real physical media and diffusion-based image alteration, for fun","commenter",[44],{"id":45,"by":46,"text":47},"47038674","alexkranias","Hey it's Alex, I was one of the creators of this project. We thought it would be fun to experiment with this odd mix of real, physical media and altering reality with diffusion…",[49,53,63],{"value":50,"source":42,"evidence":51},"Raspberry Pi 2W",[52],{"id":45,"by":46,"text":47},{"value":54,"source":42,"evidence":55},"OnnxStream",[56,59],{"id":57,"by":46,"text":58},"47038711","We were looking into OnnxStream (https:\u002F\u002Fgithub.com\u002Fvitoplantamura\u002FOnnxStream) and modifying it to support img2img. We got pretty close but yeah capability of running diffusion…",{"id":60,"by":61,"text":62},"47039718","whackamadoodle","We were looking to add on-device styles with the Raspberry Pi in order to keep the device cost low, though a Coral TPU would make this easier. The OnyxStream library appears to…",{"value":64,"source":42,"evidence":65},"Stable Diffusion 1.5",[66],{"id":60,"by":61,"text":62},"unknown","team",{"praise":70,"objections":78,"requests":88,"questions":100,"alternatives":101},[71],{"value":72,"source":42,"evidence":73},"Creative concept mixing physical media with diffusion models",[74],{"id":75,"by":76,"text":77},"47038616","randomgermanguy","Cool idea, but kinda sad that it has to go through a cloud-provider. I feel like there's a possibility with an accelerator-board (Coral TPU or something), to make this into a…",[79,83],{"value":80,"source":42,"evidence":81},"Relies on a cloud provider rather than running locally",[82],{"id":75,"by":76,"text":77},{"value":84,"source":42,"evidence":85},"Raspberry Pi cannot yet run diffusion models locally at useful speed",[86,87],{"id":57,"by":46,"text":58},{"id":60,"by":61,"text":62},[89,96],{"value":90,"source":42,"evidence":91},"Bring your own API key or proxy to a home GPU machine",[92],{"id":93,"by":94,"text":95},"47039013","vunderba","Nice. I’ve seen a couple of these - Instagen [1] is probably one of the more recent ones - but I’d love to see Diffuji stand out by potentially adding some kind of BYOK or proxy…",{"value":97,"source":42,"evidence":98},"On-device inference, e.g. with a Coral TPU",[99],{"id":75,"by":76,"text":77},[],[102],{"value":103,"source":42,"evidence":104},"Instagen instant camera",[105],{"id":93,"by":94,"text":95},{"comments":32,"answered":32,"key":107},[],{"commenters":109,"max_depth":110,"maker_replies":32,"first_comment_mins":15,"lifespan_hours":110},4,2,[112,114,116,118,120],[45,32,15,113,46,32],"maker\u002Fpositive\u002Fidea",[93,30,31,115,94,32],"project\u002Fneutral\u002Fidea",[75,110,30,117,76,32],"project\u002Fcritical\u002Fprivacy",[57,110,31,119,46,32],"maker\u002Fneutral\u002Fperformance",[60,110,31,119,61,32],[],[123,128,132,137,142,146],{"id":124,"name":125,"points":126,"category":127},"47031334","Jemini",488,"ai",{"id":129,"name":130,"points":131,"category":20},"47051852","AsteroidOS 2.0",470,{"id":133,"name":134,"points":135,"category":136},"47026186","Microgpt",282,"learning_science",{"id":138,"name":139,"points":140,"category":141},"47040375","FreeFlow",277,"productivity",{"id":143,"name":144,"points":145,"category":136},"47008163","Data Engineering Book",251,{"id":147,"name":148,"points":149,"category":150},"47011567","SQL-tap",233,"dev_tools",false,"v2",{"id":154,"name":5,"line":6,"ai":151,"cat":20,"year":13,"points":14,"comments":15,"rec":27,"s":155,"top":18,"kw":156,"maker":11,"domain":10,"tier":19,"attempts":32,"strip":157,"url":9,"mix":158,"praise":72,"objection":80,"sub":21},47038551,-0.05,[21,23,24,25,26],"53133",[30,31,32,30],1793991144256]