[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"nav-categories":3,"article-nucleus-image-a-new-open-source-sparse-moe-text-to-image-model":70},{"data":4},[5,37,57,64],{"name":6,"slug":7,"categories":8},"Productivity","productivity",[9,13,17,21,25,29,33],{"id":10,"title":11,"slug":12},17,"Branding","branding",{"id":14,"title":15,"slug":16},19,"Marketing","marketing",{"id":18,"title":19,"slug":20},20,"Work","work",{"id":22,"title":23,"slug":24},34,"Community","community",{"id":26,"title":27,"slug":28},21,"For newbies","for-newbies",{"id":30,"title":31,"slug":32},24,"Investment","investment",{"id":34,"title":35,"slug":36},22,"Finance","finance",{"name":38,"slug":39,"categories":40},"Tech","tech",[41,45,49,53],{"id":42,"title":43,"slug":44},28,"Technology","technology",{"id":46,"title":47,"slug":48},32,"Artificial Intelligence","artificial-intelligence",{"id":50,"title":51,"slug":52},26,"Security and protection","security-and-protection",{"id":54,"title":55,"slug":56},31,"YouTube Blog","youtube-blog",{"name":58,"slug":59,"categories":60},"News","news",[61],{"id":62,"title":58,"slug":63},18,"quasanews",{"name":65,"slug":66,"categories":67},"Business","business",[68],{"id":69,"title":65,"slug":66},16,{"post":71,"published_news":97,"popular_news":154,"categories":225},{"title":72,"description":73,"meta_title":72,"meta_description":74,"meta_keywords":75,"text":76,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category_id":26,"links":81,"view_type":86,"video_url":87,"views":88,"likes":89,"lang":90,"comments_count":89,"category":91},"Nucleus Image: A New Open-Source Sparse MoE Text-to-Image Model","Yes, another text-to-image model just dropped — and this one is genuinely interesting.","Meet Nucleus Image, the latest release from Nucleus AI, a small San Francisco-based AI company founded in 2023","a sparse Mixture-of-Experts (MoE) Diffusion Transformer.","\u003Cp>Yes, another text-to-image model just dropped — and this one is genuinely interesting.\u003C/p>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/photo_2026-05-06_17-24-40.webp\" type=\"image/webp\">\u003Cimg alt=\"Nucleus Image: A New Open-Source Sparse MoE Text-to-Image Model\" class=\"image-align-right\" height=\"239\" src=\"https://cdn.quasa.io/photos/0001/photo_2026-05-06_17-24-40.jpg\" width=\"300\" />\u003C/picture>Meet \u003Cstrong>Nucleus Image\u003C/strong>, the latest release from Nucleus AI, a small San Francisco-based AI company founded in 2023. While it’s still very early, the model brings something fresh to the open-source image generation scene: a \u003Cstrong>sparse Mixture-of-Experts (MoE) Diffusion Transformer\u003C/strong>.\u003C/p>\n\n\u003Ch4>\u003Cstrong>Key Highlights\u003C/strong>\u003C/h4>\n\n\u003Cul>\n\t\u003Cli>\u003Cstrong>17B total parameters\u003C/strong>, but only \u003Cstrong>~2B active\u003C/strong> per forward pass (thanks to 64 routed experts + 1 shared expert).\u003C/li>\n\t\u003Cli>They call it “\u003Cstrong>the 1st Sparse MoE Diffusion Transformer\u003C/strong>”.\u003C/li>\n\t\u003Cli>32-layer architecture, with 29 layers using sparse MoE instead of dense FFN (first 3 layers remain dense for training stability).\u003C/li>\n\t\u003Cli>Uses \u003Cstrong>Grouped-Query Attention\u003C/strong>.\u003C/li>\n\t\u003Cli>Text encoder: \u003Cstrong>Qwen3-VL-8B-Instruct\u003C/strong>.\u003C/li>\n\t\u003Cli>VAE: \u003Cstrong>Qwen-Image VAE\u003C/strong> (16-channel).\u003C/li>\n\u003C/ul>\n\n\u003Cp>The model is released as a \u003Cstrong>base model\u003C/strong> — no DPO, RLHF, or heavy human preference tuning yet. According to the team, this is intentional: they want to release a strong foundation first.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Training Scale\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cstrong>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-05-06t172934126.webp\" type=\"image/webp\">\u003Cimg alt=\"Nucleus Image: A New Open-Source Sparse MoE Text-to-Image Model\" class=\"image-align-right\" height=\"149\" src=\"https://cdn.quasa.io/photos/0001/image-2026-05-06t172934126.jpg\" width=\"100\" />\u003C/picture>What makes it particularly noteworthy is the dataset size:\u003C/strong>\u003C/p>\n\n\u003Cul>\n\t\u003Cli>~\u003Cstrong>1.5 billion\u003C/strong> image-text training pairs;\u003C/li>\n\t\u003Cli>~\u003Cstrong>700 million\u003C/strong> unique images.\u003C/li>\n\u003C/ul>\n\n\u003Cp>That’s serious scale for an open-source effort.\u003C/p>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Current Status (as of May 2026)\u003C/strong>\u003C/h4>\n\n\u003Cul>\n\t\u003Cli>Weights are available;\u003C/li>\n\t\u003Cli>Detailed technical report and model card published;\u003C/li>\n\t\u003Cli>Claimed “Day 0” support in Hugging Face Diffusers;\u003C/li>\n\t\u003Cli>\u003Cstrong>Code has not been released yet\u003C/strong> (despite heavy “truly open” messaging).\u003C/li>\n\u003C/ul>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-05-06t172931190.webp\" type=\"image/webp\">\u003Cimg alt=\"Nucleus Image: A New Open-Source Sparse MoE Text-to-Image Model\" class=\"image-align-left\" height=\"372\" src=\"https://cdn.quasa.io/photos/0001/image-2026-05-06t172931190.jpg\" width=\"250\" />\u003C/picture>Faces are still a bit weak (typical for early base models), but overall image quality looks promising for its efficiency class.\u003C/p>\n\n\u003Cp>The model is small enough that it should (with some effort) fit into **16GB VRAM**, and the sparse MoE design suggests fast inference relative to its total parameter count.\u003C/p>\n\n\u003Cp>Also read:\u003C/p>\n\n\u003Cul>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/bixonimania-the-fake-disease-that-fooled-every-major-ai-and-then-sneaked-into-a-real-medical-journal\">Bixonimania: The Fake Disease That Fooled Every Major AI — And Then Sneaked Into a Real Medical Journal\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-mirage-effect-stanford-just-proved-that-computer-vision-is-often-just-confident-bullshit\">The Mirage Effect: Stanford Just Proved That “Computer Vision” Is Often Just Confident Bullshit\u003C/a>\u003C/li>\n\t\u003Cli>\u003Ca href=\"https://quasa.io/media/the-billion-dollar-solo-startup-how-one-man-built-medvi-401m-in-year-one-1-8b-run-rate-in-year-two-with-just-ai-and-his-brother\">The Billion-Dollar Solo Startup: How One Man Built Medvi — $401M in Year One, $1.8B Run Rate in Year Two — With Just AI and His Brother\u003C/a>\u003C/li>\n\u003C/ul>\n\n\u003Chr />\n\u003Ch4>\u003Cstrong>Why This Matters\u003C/strong>\u003C/h4>\n\n\u003Cp>\u003Cpicture>\u003Csource srcset=\"https://cdn.quasa.io/photos/0001/image-2026-05-06t172932594.webp\" type=\"image/webp\">\u003Cimg alt=\"Nucleus Image: A New Open-Source Sparse MoE Text-to-Image Model\" class=\"image-align-right\" height=\"298\" src=\"https://cdn.quasa.io/photos/0001/image-2026-05-06t172932594.jpg\" width=\"200\" />\u003C/picture>Sparse MoE architectures have already revolutionized language models (Mixtral, DeepSeek, etc.). Bringing the same efficiency breakthrough to diffusion models could be a big deal — especially if the code drops and the community starts fine-tuning it.\u003C/p>\n\n\u003Cp>Nucleus AI is a small team (appears to be 2–10 people based on public profiles), yet they’re swinging big: previously releasing a 22B-token 500B LLM back in 2023. This feels like a serious attempt to compete in the image generation space.\u003C/p>\n\n\u003Cp>We’ll have a better idea of real-world performance once the full code and inference scripts are public. Until then, you can check out samples on their site:\u003C/p>\n\n\u003Cp>→ \u003Cstrong>\u003Ca href=\"https://withnucleus.ai/image\">https://withnucleus.ai/image\u003C/a>\u003C/strong>\u003C/p>\n\n\u003Cp>Another day, another impressive open-source drop. The image generation race is far from over — and the gap between closed and open models continues to shrink.\u003C/p>","nucleus-image-a-new-open-source-sparse-moe-text-to-image-model","2026-05-06T15:31:03.000000Z","2026-05-18T11:19:00.000000Z","18.05.2026",{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},"https://cdn.quasa.io/images/news/V1whnwub4MOj4zkfGjPDDwEcdlgrh5HOyHu7JAyU.jpg","https://cdn.quasa.io/images/news/V1whnwub4MOj4zkfGjPDDwEcdlgrh5HOyHu7JAyU.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/V1whnwub4MOj4zkfGjPDDwEcdlgrh5HOyHu7JAyU.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/V1whnwub4MOj4zkfGjPDDwEcdlgrh5HOyHu7JAyU.webp","small",null,12,0,"en",{"id":26,"title":27,"slug":28,"meta_title":92,"meta_description":93,"meta_keywords":94,"deleted_at":87,"created_at":95,"updated_at":96,"lang":90},"Newbie Growth Hacks: AI, Solo Startups & Tech from Scratch | Quasa","Insiders and instructions on how not to step on a rake in any area of life.","For newbies, how to, newbie, advice, instructions","2021-10-25T14:55:26.000000Z","2026-04-22T15:10:24.000000Z",[98,102,114,127,140],{"title":72,"description":73,"slug":77,"created_at":78,"publish_at":79,"formatted_created_at":80,"category":99,"links":100,"view_type":86,"video_url":87,"views":88,"likes":89,"lang":90,"comments_count":89,"is_pinned":101},{"title":27,"slug":28},{"image":82,"image_webp":83,"thumb":84,"thumb_webp":85},false,{"title":103,"description":104,"slug":105,"created_at":106,"publish_at":107,"formatted_created_at":80,"category":108,"links":109,"view_type":86,"video_url":87,"views":14,"likes":89,"lang":90,"comments_count":89,"is_pinned":101},"AI Zen: The Psychological Shift No One Is Talking About","It’s not another Stanford study or academic paper. 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Enterprisers are people who undertake a business or enterprise with the chance of earning profits or suffering from loss.","the-anatomy-of-an-entrepreneur","2021-08-04T15:18:21.000000Z","2025-12-14T06:09:00.000000Z","14.12.2025",{"title":65,"slug":66},{"image":164,"image_webp":87,"thumb":165,"thumb_webp":165},"https://cdn.quasa.io/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/mVsXPTMuHZuI7UXCsENgL1Qwp1uSOf7Rz3uVPMfm.webp",74597,2,{"title":169,"description":170,"slug":171,"created_at":172,"publish_at":173,"formatted_created_at":174,"category":175,"links":176,"view_type":181,"video_url":87,"views":182,"likes":183,"lang":90,"comments_count":89,"is_pinned":101},"Advertising on QUASA","QUASA MEDIA is read by more than 400 thousand people a month. We offer to place your article, add a link or order the writing of an article for publication.","advertising-on-quasa","2022-07-06T07:33:02.000000Z","2025-12-15T17:33:02.000000Z","15.12.2025",{"title":58,"slug":63},{"image":177,"image_webp":178,"thumb":179,"thumb_webp":180},"https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.jpg","https://cdn.quasa.io/thumbs/news-thumb/images/news/45SvmdsTQbiyc3nxgbyHY1mpVbisYyub2BCHjqBL.webp","large",74426,4,{"title":185,"description":186,"slug":187,"created_at":188,"publish_at":189,"formatted_created_at":190,"category":191,"links":192,"view_type":86,"video_url":87,"views":195,"likes":183,"lang":90,"comments_count":89,"is_pinned":101},"What is a Startup?","A startup is not a new company, not a tech company, nor a new tech company. You can be a new tech company, if your goal is not to grow high and fast; then, you are not a startup. ","what-is-a-startup","2021-08-04T12:05:17.000000Z","2025-12-17T13:02:00.000000Z","17.12.2025",{"title":65,"slug":66},{"image":193,"image_webp":87,"thumb":194,"thumb_webp":194},"https://cdn.quasa.io/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp","https://cdn.quasa.io/thumbs/news-thumb/images/news/EOsQhSW3VXyG7a6NPdE1oZd00xfJXe3bjY5aJGb7.webp",71905,{"title":197,"description":198,"slug":199,"created_at":200,"publish_at":201,"formatted_created_at":202,"category":203,"links":204,"view_type":86,"video_url":87,"views":209,"likes":167,"lang":90,"comments_count":210,"is_pinned":101},"Top 5 Tips to Make More Money as a Content Creator","Content creators are one of the most desired job titles right now. 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