{"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\/pt\/blog\/news\/predstavlena-sistema-sinteza-izobrazhenij-stable-diffusion-2-0","title":{"rendered":"Foi apresentada a sistema de s\u00edntese de imagens Stable Diffusion 2.0.","gt_translate_keys":[{"key":"rendered","format":"text"}]},"content":{"rendered":"<p>A empresa Stability AI lan\u00e7ou a segunda edi\u00e7\u00e3o do sistema de aprendizado de m\u00e1quina Stable Diffusion, capaz de sintetizar e modificar imagens com base em um modelo proposto ou descri\u00e7\u00e3o em linguagem natural. O c\u00f3digo das ferramentas para treinar a rede neural e gerar imagens foi escrito na linguagem Python usando o framework PyTorch e publicado sob a licen\u00e7a MIT. Os modelos j\u00e1 treinados est\u00e3o dispon\u00edveis sob a licen\u00e7a permissiva Creative ML OpenRAIL-M, permitindo uso comercial. Al\u00e9m disso, um gerador de imagens online de demonstra\u00e7\u00e3o est\u00e1 dispon\u00edvel.      <\/p>\n<p>Melhorias principais na nova edi\u00e7\u00e3o do Stable Diffusion:  <\/p>\n<ul>\n<li class=\"l\"> Foi criada um novo modelo de s\u00edntese de imagens a partir de descri\u00e7\u00f5es textuais \u2014 SD2.0-v, que suporta a gera\u00e7\u00e3o de imagens com resolu\u00e7\u00e3o de 768\u00d7768. O novo modelo foi treinado usando a cole\u00e7\u00e3o LAION-5B, que inclui 5,85 bilh\u00f5es de imagens com descri\u00e7\u00f5es textuais. O modelo utiliza o mesmo conjunto de par\u00e2metros que o modelo Stable Diffusion 1.5, mas se diferencia pela transi\u00e7\u00e3o para um codificador OpenCLIP-ViT\/H, que permitiu uma melhoria significativa na qualidade das imagens resultantes.       <center><img decoding=\"async\" alt=\"Foi apresentada a sistema de s\u00edntese de imagens Stable Diffusion 2.0.\" src=\"\/wp-content\/uploads\/2022\/11\/376594e9f459cfa3a235f732a3e948ea.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Foi preparado uma vers\u00e3o simplificada SD2.0-base, treinada em imagens de 256\u00d7256 usando um modelo cl\u00e1ssico de previs\u00e3o de ru\u00eddo e que suporta a gera\u00e7\u00e3o de imagens com resolu\u00e7\u00e3o de 512\u00d7512.    <center><img decoding=\"async\" alt=\"Foi apresentada a sistema de s\u00edntese de imagens Stable Diffusion 2.0.\" src=\"\/wp-content\/uploads\/2022\/11\/ffa444ca643e00226e0f771c30c65fb1.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Foi disponibilizada a possibilidade de uso da tecnologia de superamostragem (Super Resolution) para aumentar a resolu\u00e7\u00e3o da imagem original sem perda de qualidade, utilizando algoritmos de escala espacial e reconstru\u00e7\u00e3o de detalhes. O modelo de processamento de imagens fornecido (SD20-upscaler) suporta um aumento de escala de quatro vezes, permitindo a forma\u00e7\u00e3o de imagens com resolu\u00e7\u00e3o de 2048\u00d72048.    <center><img decoding=\"async\" alt=\"Foi apresentada a sistema de s\u00edntese de imagens Stable Diffusion 2.0.\" src=\"\/wp-content\/uploads\/2022\/11\/a915c3fd0eb074d8e5597c2706251166.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Foi proposta a modelo SD2.0-depth2img, que considera a profundidade e a disposi\u00e7\u00e3o espacial dos objetos. Para a avalia\u00e7\u00e3o monocular da profundidade, \u00e9 utilizada o sistema MiDaS. O modelo permite sintetizar novas imagens usando outra imagem como modelo, que podem diferir radicalmente do original, mas manter a composi\u00e7\u00e3o geral e a profundidade. Por exemplo, \u00e9 poss\u00edvel usar a pose de uma pessoa em uma fotografia para formar outro personagem na mesma pose.    <center><img decoding=\"async\" alt=\"Foi apresentada a sistema de s\u00edntese de imagens Stable Diffusion 2.0.\" src=\"\/wp-content\/uploads\/2022\/11\/41f7f241529c5834cd228286a921d640.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>  <center><img decoding=\"async\" alt=\"Foi apresentada a sistema de s\u00edntese de imagens Stable Diffusion 2.0.\" src=\"\/wp-content\/uploads\/2022\/11\/9ebecbc110c12e6fa018f7d397d65054.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>    <center><img decoding=\"async\" alt=\"Foi apresentada a sistema de s\u00edntese de imagens Stable Diffusion 2.0.\" src=\"\/wp-content\/uploads\/2022\/11\/7680df01fe2a44a8c6d21002e784e01d.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Foi atualizada a modelo para modifica\u00e7\u00e3o de imagens \u2014 SD 2.0-inpainting, que permite substituir e alterar partes da imagem usando prompts textuais.    <center><img decoding=\"async\" alt=\"Foi apresentada a sistema de s\u00edntese de imagens Stable Diffusion 2.0.\" src=\"\/wp-content\/uploads\/2022\/11\/38291c883b211d77bb924bbb4d740829.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center>\n<li class=\"l\"> Otimiza\u00e7\u00e3o dos modelos realizada para uso em sistemas comuns com uma GPU.      <\/ul>\n<p>        <center><img decoding=\"async\" alt=\"Foi apresentada a sistema de s\u00edntese de imagens Stable Diffusion 2.0.\" src=\"\/wp-content\/uploads\/2022\/11\/b80b3978daa9b333b5a637c0fa544e76.jpg\" style=\"display:block;margin: 0 auto;\" \/><\/center><br \/>\n<br \/>Fonte: <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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