{"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\/ro\/blog\/news\/predstavlena-sistema-sinteza-izobrazhenij-stable-diffusion-2-0","title":{"rendered":"A fost prezentat sistemul de sintez\u0103 a imaginilor Stable Diffusion 2.0","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Compania Stability AI a publicat a doua edi\u021bie a sistemului de \u00eenv\u0103\u021bare automat\u0103 Stable Diffusion, capabil s\u0103 sintetizeze \u0219i s\u0103 modifice imagini pe baza unui \u0219ablon propus sau a unei descrieri textuale \u00een limbaj natural. Codul instrumentelor pentru antrenarea re\u021belei neuronale \u0219i generarea imaginilor este scris \u00een limbajul Python utiliz\u00e2nd cadrul PyTorch \u0219i este publicat sub licen\u021ba MIT. Modelele deja antrenate sunt deschise sub licen\u021ba permisiv\u0103 Creative ML OpenRAIL-M, care permite utilizarea \u00een scopuri comerciale. De asemenea, este disponibil un generator de imagini online demonstrativ.      <\/p>\n<p>\u00cembun\u0103t\u0103\u021biri cheie \u00een noua edi\u021bie Stable Diffusion:  <\/p>\n<ul>\n<li class=\"l\"> A fost creat un nou model de sintez\u0103 a imaginilor pe baza descrierii textuale \u2014 SD2.0-v, care suport\u0103 generarea de imagini cu o rezolu\u021bie de 768&#215;768. Noul model a fost antrenat folosind colec\u021bia LAION-5B, care include 5,85 miliarde de imagini cu descrieri textuale. Modelul utilizeaz\u0103 aceea\u0219i setare de parametri ca \u0219i modelul Stable Diffusion 1.5, dar se distinge prin trecerea la un encoder complet diferit, OpenCLIP-ViT\/H, care a permis \u00eembun\u0103t\u0103\u021birea semnificativ\u0103 a calit\u0103\u021bii imaginilor rezultate.       <center><img decoding=\"async\" alt=\"A fost prezentat sistemul de sintez\u0103 a imaginilor Stable Diffusion 2.0\" src=\"\/wp-content\/uploads\/2022\/11\/376594e9f459cfa3a235f732a3e948ea.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> A fost preg\u0103tit\u0103 o variant\u0103 simplificat\u0103 SD2.0-base, antrenat\u0103 pe imagini de 256&#215;256 cu utilizarea modelului clasic de prezicere a zgomotului \u0219i care suport\u0103 generarea de imagini cu o rezolu\u021bie de 512&#215;512.    <center><img decoding=\"async\" alt=\"A fost prezentat sistemul de sintez\u0103 a imaginilor Stable Diffusion 2.0\" src=\"\/wp-content\/uploads\/2022\/11\/ffa444ca643e00226e0f771c30c65fb1.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> S-a oferit posibilitatea de a utiliza tehnologia de super-sampling (Super Resolution) pentru a cre\u0219te rezolu\u021bia imaginii originale f\u0103r\u0103 a reduce calitatea, folosind algoritmi de scalare spa\u021bial\u0103 \u0219i reconstruc\u021bie a detaliilor. Modelul de procesare a imaginilor furnizat (SD20-upscaler) suport\u0103 m\u0103rirea de patru ori, ceea ce permite formarea de imagini cu o rezolu\u021bie de 2048&#215;2048.    <center><img decoding=\"async\" alt=\"A fost prezentat sistemul de sintez\u0103 a imaginilor Stable Diffusion 2.0\" src=\"\/wp-content\/uploads\/2022\/11\/a915c3fd0eb074d8e5597c2706251166.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> A fost propus modelul SD2.0-depth2img, care ia \u00een considerare profunzimea \u0219i pozi\u021bionarea spa\u021bial\u0103 a obiectelor. Pentru evaluarea monocolor a ad\u00e2ncimii se utilizeaz\u0103 sistemul MiDaS. Modelul permite sintetizarea de noi imagini, folosind o alt\u0103 imagine ca \u0219ablon, care pot diferi radical de original, dar p\u0103streaz\u0103 compozi\u021bia general\u0103 \u0219i ad\u00e2ncimea. De exemplu, poate fi utilizat\u0103 postura unei persoane dintr-o fotografie pentru a crea un alt personaj \u00een aceea\u0219i pozi\u021bie.    <center><img decoding=\"async\" alt=\"A fost prezentat sistemul de sintez\u0103 a imaginilor Stable Diffusion 2.0\" src=\"\/wp-content\/uploads\/2022\/11\/41f7f241529c5834cd228286a921d640.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>  <center><img decoding=\"async\" alt=\"A fost prezentat sistemul de sintez\u0103 a imaginilor Stable Diffusion 2.0\" src=\"\/wp-content\/uploads\/2022\/11\/9ebecbc110c12e6fa018f7d397d65054.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>    <center><img decoding=\"async\" alt=\"A fost prezentat sistemul de sintez\u0103 a imaginilor Stable Diffusion 2.0\" src=\"\/wp-content\/uploads\/2022\/11\/7680df01fe2a44a8c6d21002e784e01d.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Modelul pentru modificarea imaginilor a fost actualizat \u2014 SD 2.0-inpainting, care permite, prin intermediul sugestiilor textuale, \u00eenlocuirea \u0219i modificarea unor p\u0103r\u021bi ale imaginii.    <center><img decoding=\"async\" alt=\"A fost prezentat sistemul de sintez\u0103 a imaginilor Stable Diffusion 2.0\" src=\"\/wp-content\/uploads\/2022\/11\/38291c883b211d77bb924bbb4d740829.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Au fost optimizate modelele pentru utilizarea pe sisteme obi\u0219nuite cu un singur GPU.      <\/ul>\n<p>        <center><img decoding=\"async\" alt=\"A fost prezentat sistemul de sintez\u0103 a imaginilor Stable Diffusion 2.0\" src=\"\/wp-content\/uploads\/2022\/11\/b80b3978daa9b333b5a637c0fa544e76.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center><br \/>\n<br \/>Sursa: <a content=\"nofollow\" rel=\"nofollow\" href=\"https:\/\/www.opennet.ru\/opennews\/art.shtml?num=58184\">opennet.ro<\/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 5.0.2.1 - aioseo.com -->\n\t<meta name=\"description\" content=\"\u041a\u043e\u043c\u043f\u0430\u043d\u0438\u044f Stability AI \u043e\u043f\u0443\u0431\u043b\u0438\u043a\u043e\u0432\u0430\u043b\u0430 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