{"id":105694,"date":"2022-11-24T09:36:49","date_gmt":"2022-11-24T07:36:54","guid":{"rendered":"https:\/\/prohoster.info\/blog\/novosti-interneta\/predstavlena-sistema-sinteza-izobrazhenij-stable-diffusion-2-0"},"modified":"2022-11-24T09:36:49","modified_gmt":"2022-11-24T07:36:54","slug":"predstavlena-sistema-sinteza-izobrazhenij-stable-diffusion-2-0","status":"publish","type":"post","link":"https:\/\/prohoster.info\/sq\/blog\/news\/predstavlena-sistema-sinteza-izobrazhenij-stable-diffusion-2-0","title":{"rendered":"Sistema e sintetizimit t\u00eb imazheve Stable Diffusion 2.0 \u00ebsht\u00eb paraqitur","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Kompania Stability AI publikoi edicionin e dyt\u00eb t\u00eb sistemit t\u00eb m\u00ebsimit t\u00eb makinerive Stable Diffusion, i aft\u00eb p\u00ebr t\u00eb sintetizuar dhe ndryshuar imazhe bazuar n\u00eb nj\u00eb model t\u00eb dh\u00ebn\u00eb ose p\u00ebrshkrim tekstual n\u00eb gjuh\u00ebn natyrore. Kodi i mjeteve p\u00ebr trajnimin e rrjetit neural dhe gjenerimin e imazheve \u00ebsht\u00eb shkruar n\u00eb gjuh\u00ebn Python duke p\u00ebrdorur kuadrin PyTorch dhe \u00ebsht\u00eb publikuar n\u00ebn licenc\u00ebn MIT. Modelet e trajnimit tashm\u00eb jan\u00eb t\u00eb hapura n\u00ebn licenc\u00ebn e lejuar Creative ML OpenRAIL-M, e cila lejon p\u00ebrdorimin p\u00ebr q\u00ebllime komerciale. Gjithashtu \u00ebsht\u00eb n\u00eb dispozicion nj\u00eb gjenerator imazhesh online p\u00ebr demonstrim.      <\/p>\n<p>P\u00ebrmir\u00ebsimet kryesore n\u00eb edicionin e ri t\u00eb Stable Diffusion:  <\/p>\n<ul>\n<li class=\"l\"> Nj\u00eb model i ri i sintez\u00ebs s\u00eb imazheve nga p\u00ebrshkrimi tekstual \u00ebsht\u00eb krijuar \u2014 SD2.0-v, i cili mb\u00ebshtet gjenerimin e imazheve me zgjatje 768&#215;768. Ky model \u00ebsht\u00eb trajnuar duke p\u00ebrdorur koleksionin LAION-5B, i cili p\u00ebrfshin 5.85 miliard imazhesh me p\u00ebrshkrime tekstuale. Modeli p\u00ebrdor t\u00eb nj\u00ebjtin set parametrash si modeli Stable Diffusion 1.5, por ndryshon p\u00ebr shkak t\u00eb kalimit n\u00eb p\u00ebrdorimin e nj\u00eb koduesi thelb\u00ebsor t\u00eb ndrysh\u00ebm OpenCLIP-ViT\/H, i cili ka lejuar p\u00ebrmir\u00ebsimin e cil\u00ebsis\u00eb s\u00eb imazheve rezultante.       <center><img decoding=\"async\" alt=\"Sistema e sintetizimit t\u00eb imazheve Stable Diffusion 2.0 \u00ebsht\u00eb paraqitur\" src=\"\/wp-content\/uploads\/2022\/11\/376594e9f459cfa3a235f732a3e948ea.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Nj\u00eb variant i thjeshtuar SD2.0-base \u00ebsht\u00eb p\u00ebrgatitur, i trajnuar n\u00eb imazhe 256&#215;256 duke p\u00ebrdorur modelin klasik t\u00eb parashikimit t\u00eb zhurm\u00ebs dhe mb\u00ebshtet gjenerimin e imazheve me zgjatje 512&#215;512.    <center><img decoding=\"async\" alt=\"Sistema e sintetizimit t\u00eb imazheve Stable Diffusion 2.0 \u00ebsht\u00eb paraqitur\" src=\"\/wp-content\/uploads\/2022\/11\/ffa444ca643e00226e0f771c30c65fb1.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> \u00cbsht\u00eb dh\u00ebn\u00eb mund\u00ebsia e p\u00ebrdorimit t\u00eb teknologjis\u00eb s\u00eb super-sampling (Super Resolution) p\u00ebr t\u00eb rritur zgjatjen e imazhit fillestar pa humbur cil\u00ebsin\u00eb, duke p\u00ebrdorur algoritme t\u00eb shkall\u00ebzimit hap\u00ebsinor dhe rikonstruksionit t\u00eb detajeve. Modeli i ofruar p\u00ebr p\u00ebrpunimin e imazheve (SD20-upscaler) mb\u00ebshtet kat\u00ebrfishimin e shkall\u00ebs, duke lejuar krijimin e imazheve me zgjatje 2048&#215;2048.    <center><img decoding=\"async\" alt=\"Sistema e sintetizimit t\u00eb imazheve Stable Diffusion 2.0 \u00ebsht\u00eb paraqitur\" src=\"\/wp-content\/uploads\/2022\/11\/a915c3fd0eb074d8e5597c2706251166.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> \u00cbsht\u00eb propozuar modeli SD2.0-depth2img, i cili merr parasysh thell\u00ebsin\u00eb dhe vendndodhjen hap\u00ebsinore t\u00eb objekteve. P\u00ebr vler\u00ebsimin monokular t\u00eb thell\u00ebsis\u00eb, p\u00ebrdoret sistemi MiDaS. Modeli lejon q\u00eb t\u00eb sintetizohen imazhe t\u00eb reja, duke p\u00ebrdorur nj\u00eb imazh tjet\u00ebr si model, t\u00eb cilat mund t\u00eb ndryshojn\u00eb rr\u00ebnj\u00ebsisht nga origjinali, por t\u00eb ruajn\u00eb kompozit\u00ebn dhe thell\u00ebsin\u00eb e p\u00ebrgjithshme. P\u00ebr shembull, mund t\u00eb p\u00ebrdoret pozita e nj\u00eb personi n\u00eb foto p\u00ebr t\u00eb formuar nj\u00eb karakter tjet\u00ebr n\u00eb t\u00eb nj\u00ebjt\u00ebn poz\u00eb.    <center><img decoding=\"async\" alt=\"Sistema e sintetizimit t\u00eb imazheve Stable Diffusion 2.0 \u00ebsht\u00eb paraqitur\" src=\"\/wp-content\/uploads\/2022\/11\/41f7f241529c5834cd228286a921d640.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>  <center><img decoding=\"async\" alt=\"Sistema e sintetizimit t\u00eb imazheve Stable Diffusion 2.0 \u00ebsht\u00eb paraqitur\" src=\"\/wp-content\/uploads\/2022\/11\/9ebecbc110c12e6fa018f7d397d65054.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>    <center><img decoding=\"async\" alt=\"Sistema e sintetizimit t\u00eb imazheve Stable Diffusion 2.0 \u00ebsht\u00eb paraqitur\" src=\"\/wp-content\/uploads\/2022\/11\/7680df01fe2a44a8c6d21002e784e01d.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Modeli p\u00ebr modifikimin e imazheve \u00ebsht\u00eb p\u00ebrdit\u00ebsuar \u2014 SD 2.0-inpainting, i cili lejon, me ndihm\u00ebn e sugjerimeve tekstuale, z\u00ebvend\u00ebsimin dhe ndryshimin e pjes\u00ebve t\u00eb imazhit.    <center><img decoding=\"async\" alt=\"Sistema e sintetizimit t\u00eb imazheve Stable Diffusion 2.0 \u00ebsht\u00eb paraqitur\" src=\"\/wp-content\/uploads\/2022\/11\/38291c883b211d77bb924bbb4d740829.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Jan\u00eb optimizuar modelet p\u00ebr p\u00ebrdorim n\u00eb sisteme standarde me nj\u00eb GPU.      <\/ul>\n<p>        <center><img decoding=\"async\" alt=\"Sistema e sintetizimit t\u00eb imazheve Stable Diffusion 2.0 \u00ebsht\u00eb paraqitur\" src=\"\/wp-content\/uploads\/2022\/11\/b80b3978daa9b333b5a637c0fa544e76.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center><br \/>\n<br \/>Burimi: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=58184\">opennet.ru<\/a> <\/p>","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"excerpt":{"rendered":"<p>\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Stability AI \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 \u0432\u0442\u043e\u0440\u0443\u044e \u0440\u0435\u0434\u0430\u043a\u0446\u0438\u044e \u0441\u0438\u0441\u0442\u0435\u043c\u044b \u043c\u0430\u0448\u0438\u043d\u043d\u043e\u0433\u043e \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f Stable Diffusion, \u0441\u043f\u043e\u0441\u043e\u0431\u043d\u043e\u0439 \u0441\u0438\u043d\u0442\u0435\u0437\u0438\u0440\u043e\u0432\u0430\u0442\u044c \u0438 \u0438\u0437\u043c\u0435\u043d\u044f\u0442\u044c \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u044f \u043d\u0430 \u043e\u0441\u043d\u043e\u0432\u0435 \u043f\u0440\u0435\u0434\u043b\u043e\u0436\u0435\u043d\u043d\u043e\u0433\u043e \u0448\u0430\u0431\u043b\u043e\u043d\u0430 \u0438\u043b\u0438 \u0442\u0435\u043a\u0441\u0442\u043e\u0432\u043e\u0433\u043e \u043e\u043f\u0438\u0441\u0430\u043d\u0438\u044f \u043d\u0430 \u0435\u0441\u0442\u0435\u0441\u0442\u0432\u0435\u043d\u043d\u043e\u043c \u044f\u0437\u044b\u043a\u0435. \u041a\u043e\u0434 \u0438\u043d\u0441\u0442\u0440\u0443\u043c\u0435\u043d\u0442\u043e\u0432 \u0434\u043b\u044f \u043e\u0431\u0443\u0447\u0435\u043d\u0438\u044f \u043d\u0435\u0439\u0440\u043e\u043d\u043d\u043e\u0439 \u0441\u0435\u0442\u0438 \u0438 \u0433\u0435\u043d\u0435\u0440\u0430\u0446\u0438\u0438 \u0438\u0437\u043e\u0431\u0440\u0430\u0436\u0435\u043d\u0438\u0439 \u043d\u0430\u043f\u0438\u0441\u0430\u043d \u043d\u0430 \u044f\u0437\u044b\u043a\u0435 Python \u0441 \u0438\u0441\u043f\u043e\u043b\u044c\u0437\u043e\u0432\u0430\u043d\u0438\u0435\u043c \u0444\u0440\u0435\u0439\u043c\u0432\u043e\u0440\u043a\u0430 PyTorch \u0438 \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043d \u043f\u043e\u0434 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 MIT. \u0423\u0436\u0435 \u043e\u0431\u0443\u0447\u0435\u043d\u043d\u044b\u0435 \u043c\u043e\u0434\u0435\u043b\u0438 \u043e\u0442\u043a\u0440\u044b\u0442\u044b \u043f\u043e\u0434 \u043f\u0435\u0440\u043c\u0438\u0441\u0441\u0438\u0432\u043d\u043e\u0439 \u043b\u0438\u0446\u0435\u043d\u0437\u0438\u0435\u0439 [&hellip;]<\/p>\n","protected":false,"gt_translate_keys":[{"key":"rendered","format":"html"}]},"author":1,"featured_media":105695,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[702],"tags":[],"class_list":["post-105694","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news"],"aioseo_notices":[],"aioseo_head":"\n\t\t<!-- All in One SEO 5.0.2 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Stability AI 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