{"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\/da\/blog\/news\/predstavlena-sistema-sinteza-izobrazhenij-stable-diffusion-2-0","title":{"rendered":"Stable Diffusion 2.0 billed som et billedsyntesesystem","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>Firmaen Stability AI har udgivet den anden version af maskinl\u00e6ringssystemet Stable Diffusion, der kan syntetisere og \u00e6ndre billeder baseret p\u00e5 en foresl\u00e5et skabelon eller tekstbeskrivelse p\u00e5 naturligt sprog. Koden til v\u00e6rkt\u00f8jerne til at tr\u00e6ne neurale netv\u00e6rk og generere billeder er skrevet i Python med brug af PyTorch-rammen og offentliggjort under MIT-licensen. Allerede tr\u00e6nede modeller er tilg\u00e6ngelige under den permissive Creative ML OpenRAIL-M-licens, som tillader kommerciel brug. Derudover er der en online billedgenerator til demonstration tilg\u00e6ngelig.      <\/p>\n<p>N\u00f8gleforbedringer i den nye version af Stable Diffusion:  <\/p>\n<ul>\n<li class=\"l\"> En ny model for billedsyntese baseret p\u00e5 tekstbeskrivelser er blevet udviklet - SD2.0-v, der underst\u00f8tter generation af billeder med en opl\u00f8sning p\u00e5 768\u00d7768. Den nye model er tr\u00e6net ved hj\u00e6lp af LAION-5B-samlingen, som indeholder 5,85 milliarder billeder med tekstbeskrivelser. Modellen bruger det samme s\u00e6t parametre som modellen Stable Diffusion 1.5, men adskiller sig ved at anvende en helt anden encoder, OpenCLIP-ViT\/H, som har betydeligt forbedret kvaliteten af de resulterende billeder.       <center><img decoding=\"async\" alt=\"Stable Diffusion 2.0 billed som et billedsyntesesystem\" src=\"\/wp-content\/uploads\/2022\/11\/376594e9f459cfa3a235f732a3e948ea.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> En forenklet version af SD2.0-base er blevet forberedt, tr\u00e6net p\u00e5 billeder med 256\u00d7256 opl\u00f8sning ved hj\u00e6lp af en klassisk st\u00f8jforudsigelsesmodel og underst\u00f8tter generation af billeder med en opl\u00f8sning p\u00e5 512\u00d7512.    <center><img decoding=\"async\" alt=\"Stable Diffusion 2.0 billed som et billedsyntesesystem\" src=\"\/wp-content\/uploads\/2022\/11\/ffa444ca643e00226e0f771c30c65fb1.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Muligheden for at bruge super sampling-teknologi (Super Resolution) er blevet introduceret for at \u00f8ge opl\u00f8sningen af det oprindelige billede uden at reducere kvaliteten, ved hj\u00e6lp af algoritmer til rumlig skalering og detalje-rekonstruktion. Den leverede billedbehandlingsmodel (SD20-upscaler) underst\u00f8tter en fire gange stigning i skala, hvilket g\u00f8r det muligt at generere billeder med en opl\u00f8sning p\u00e5 2048\u00d72048.    <center><img decoding=\"async\" alt=\"Stable Diffusion 2.0 billed som et billedsyntesesystem\" src=\"\/wp-content\/uploads\/2022\/11\/a915c3fd0eb074d8e5597c2706251166.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Modellen SD2.0-depth2img, der tager hensyn til dybde og rumlig placering af objekter, er blevet foresl\u00e5et. Systemet MiDaS bruges til monocul\u00e6r dybdevurdering. Modellen g\u00f8r det muligt at syntetisere nye billeder ved at bruge et andet billede som skabelon, der kan afvige radikalt fra originalen, men bevarer den overordnede komposition og dybde. For eksempel kan en menneskepose p\u00e5 et fotografi bruges til at skabe en anden karakter i den samme pose.    <center><img decoding=\"async\" alt=\"Stable Diffusion 2.0 billed som et billedsyntesesystem\" src=\"\/wp-content\/uploads\/2022\/11\/41f7f241529c5834cd228286a921d640.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>  <center><img decoding=\"async\" alt=\"Stable Diffusion 2.0 billed som et billedsyntesesystem\" src=\"\/wp-content\/uploads\/2022\/11\/9ebecbc110c12e6fa018f7d397d65054.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>    <center><img decoding=\"async\" alt=\"Stable Diffusion 2.0 billed som et billedsyntesesystem\" src=\"\/wp-content\/uploads\/2022\/11\/7680df01fe2a44a8c6d21002e784e01d.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Modellen til billedmodifikation er blevet opdateret - SD 2.0-inpainting, som g\u00f8r det muligt at erstatte og \u00e6ndre dele af billedet ved hj\u00e6lp af tekstbeskeder.    <center><img decoding=\"async\" alt=\"Stable Diffusion 2.0 billed som et billedsyntesesystem\" src=\"\/wp-content\/uploads\/2022\/11\/38291c883b211d77bb924bbb4d740829.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Der er foretaget optimering af modellerne til brug p\u00e5 almindelige systemer med \u00e9n GPU.      <\/ul>\n<p>        <center><img decoding=\"async\" alt=\"Stable Diffusion 2.0 billed som et billedsyntesesystem\" src=\"\/wp-content\/uploads\/2022\/11\/b80b3978daa9b333b5a637c0fa544e76.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center><br \/>\n<br \/>Kilde: <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 5.0.3 - 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 \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 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