{"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\/fr\/blog\/news\/predstavlena-sistema-sinteza-izobrazhenij-stable-diffusion-2-0","title":{"rendered":"Le syst\u00e8me de synth\u00e8se d'images Stable Diffusion 2.0 a \u00e9t\u00e9 pr\u00e9sent\u00e9.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>La soci\u00e9t\u00e9 Stability AI a publi\u00e9 la deuxi\u00e8me version de son syst\u00e8me d'apprentissage automatique Stable Diffusion, capable de synth\u00e9tiser et de modifier des images en fonction d'un mod\u00e8le propos\u00e9 ou d'une description textuelle en langage naturel. Le code des outils pour former le r\u00e9seau de neurones et g\u00e9n\u00e9rer des images est \u00e9crit en Python en utilisant le framework PyTorch et est publi\u00e9 sous licence MIT. Les mod\u00e8les d\u00e9j\u00e0 entra\u00een\u00e9s sont ouverts sous une licence permissive Creative ML OpenRAIL-M, permettant une utilisation \u00e0 des fins commerciales. Un g\u00e9n\u00e9rateur d'images en ligne de d\u00e9monstration est \u00e9galement disponible.      <\/p>\n<p>Am\u00e9liorations cl\u00e9s dans la nouvelle version de Stable Diffusion :  <\/p>\n<ul>\n<li class=\"l\"> Un nouveau mod\u00e8le de synth\u00e8se d\u2019images \u00e0 partir de descriptions textuelles a \u00e9t\u00e9 cr\u00e9\u00e9 \u2014 SD2.0-v, prenant en charge la g\u00e9n\u00e9ration d\u2019images avec une r\u00e9solution de 768\u00d7768. Ce nouveau mod\u00e8le a \u00e9t\u00e9 form\u00e9 en utilisant la collection LAION-5B, qui comprend 5,85 milliards d\u2019images avec des descriptions textuelles. Le mod\u00e8le utilise le m\u00eame ensemble de param\u00e8tres que le mod\u00e8le Stable Diffusion 1.5, mais se distingue par le passage \u00e0 un encodeur OpenCLIP-ViT\/H fondamentalement diff\u00e9rent, permettant d\u2019am\u00e9liorer consid\u00e9rablement la qualit\u00e9 des images r\u00e9sultantes.       <center><img decoding=\"async\" alt=\"Le syst\u00e8me de synth\u00e8se d&#039;images Stable Diffusion 2.0 a \u00e9t\u00e9 pr\u00e9sent\u00e9.\" src=\"\/wp-content\/uploads\/2022\/11\/376594e9f459cfa3a235f732a3e948ea.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Une version simplifi\u00e9e de SD2.0-base a \u00e9t\u00e9 pr\u00e9par\u00e9e, form\u00e9e sur des images de 256\u00d7256 en utilisant un mod\u00e8le classique de pr\u00e9diction du bruit et prenant en charge la g\u00e9n\u00e9ration d\u2019images avec une r\u00e9solution de 512\u00d7512.    <center><img decoding=\"async\" alt=\"Le syst\u00e8me de synth\u00e8se d&#039;images Stable Diffusion 2.0 a \u00e9t\u00e9 pr\u00e9sent\u00e9.\" src=\"\/wp-content\/uploads\/2022\/11\/ffa444ca643e00226e0f771c30c65fb1.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> La possibilit\u00e9 d\u2019utiliser la technologie de sur\u00e9chantillonnage (Super Resolution) a \u00e9t\u00e9 fournie pour augmenter la r\u00e9solution de l\u2019image d\u2019origine sans perte de qualit\u00e9, utilisant des algorithmes de mise \u00e0 l\u2019\u00e9chelle spatiale et de reconstruction de d\u00e9tails. Le mod\u00e8le de traitement d\u2019images fourni (SD20-upscaler) prend en charge un agrandissement quadruple, permettant de g\u00e9n\u00e9rer des images avec une r\u00e9solution de 2048\u00d72048.    <center><img decoding=\"async\" alt=\"Le syst\u00e8me de synth\u00e8se d&#039;images Stable Diffusion 2.0 a \u00e9t\u00e9 pr\u00e9sent\u00e9.\" src=\"\/wp-content\/uploads\/2022\/11\/a915c3fd0eb074d8e5597c2706251166.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Un mod\u00e8le SD2.0-depth2img a \u00e9t\u00e9 propos\u00e9, prenant en compte la profondeur et la disposition spatiale des objets. Pour l'estimation monoculaire de la profondeur, le syst\u00e8me MiDaS est utilis\u00e9. Le mod\u00e8le permet de synth\u00e9tiser de nouvelles images en utilisant une autre image comme mod\u00e8le, qui peuvent radicalement diff\u00e9rer de l'original, tout en conservant la composition g\u00e9n\u00e9rale et la profondeur. Par exemple, il est possible d'utiliser la pose d'une personne sur une photo pour former un autre personnage dans la m\u00eame pose.    <center><img decoding=\"async\" alt=\"Le syst\u00e8me de synth\u00e8se d&#039;images Stable Diffusion 2.0 a \u00e9t\u00e9 pr\u00e9sent\u00e9.\" src=\"\/wp-content\/uploads\/2022\/11\/41f7f241529c5834cd228286a921d640.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>  <center><img decoding=\"async\" alt=\"Le syst\u00e8me de synth\u00e8se d&#039;images Stable Diffusion 2.0 a \u00e9t\u00e9 pr\u00e9sent\u00e9.\" src=\"\/wp-content\/uploads\/2022\/11\/9ebecbc110c12e6fa018f7d397d65054.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>    <center><img decoding=\"async\" alt=\"Le syst\u00e8me de synth\u00e8se d&#039;images Stable Diffusion 2.0 a \u00e9t\u00e9 pr\u00e9sent\u00e9.\" src=\"\/wp-content\/uploads\/2022\/11\/7680df01fe2a44a8c6d21002e784e01d.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Le mod\u00e8le pour la modification d\u2019images \u2014 SD 2.0-inpainting a \u00e9t\u00e9 mis \u00e0 jour, permettant de remplacer et de modifier des parties de l\u2019image gr\u00e2ce \u00e0 des invites textuelles.    <center><img decoding=\"async\" alt=\"Le syst\u00e8me de synth\u00e8se d&#039;images Stable Diffusion 2.0 a \u00e9t\u00e9 pr\u00e9sent\u00e9.\" src=\"\/wp-content\/uploads\/2022\/11\/38291c883b211d77bb924bbb4d740829.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Les mod\u00e8les ont \u00e9t\u00e9 optimis\u00e9s pour une utilisation sur des syst\u00e8mes ordinaires avec un seul GPU.      <\/ul>\n<p>        <center><img decoding=\"async\" alt=\"Le syst\u00e8me de synth\u00e8se d&#039;images Stable Diffusion 2.0 a \u00e9t\u00e9 pr\u00e9sent\u00e9.\" src=\"\/wp-content\/uploads\/2022\/11\/b80b3978daa9b333b5a637c0fa544e76.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center><br \/>\n<br \/>Source : <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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