{"id":136470,"date":"2026-09-02T08:03:19","date_gmt":"2026-09-02T06:03:19","guid":{"rendered":"https:\/\/www.emu-france.com\/?p=136470"},"modified":"2026-09-02T09:10:10","modified_gmt":"2026-09-02T07:10:10","slug":"consoles-de-salon-ryu-2026-09-02","status":"publish","type":"post","link":"https:\/\/www.emu-france.com\/?p=136470","title":{"rendered":"[Consoles de salon] Ryu (2026\/09\/02)"},"content":{"rendered":"<p><strong>RYU<\/strong> (ou Ryubing-Dlss) est un fork de <a href=\"https:\/\/ryujinx.app\/\" target=\"_blank\" rel=\"noopener\">Ryubing<\/a> qui ajoute une pile graphique DLSS 5 directement int\u00e9gr\u00e9e \u00e0 l&rsquo;\u00e9mulateur. Le projet conserve les fonctionnalit\u00e9s de Ryubing et ajoute notamment le DLSS Super Resolution, le DLAA, le Neural Rendering et la g\u00e9n\u00e9ration d&rsquo;images DLSS-G.<\/p>\n<p>&nbsp;<\/p>\n<p><a href=\"https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss1.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter  wp-image-136468\" src=\"https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss1.png\" alt=\"\" width=\"450\" height=\"513\" srcset=\"https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss1.png 1924w, https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss1-263x300.png 263w, https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss1-898x1024.png 898w, https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss1-768x876.png 768w, https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss1-1347x1536.png 1347w, https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss1-1796x2048.png 1796w\" sizes=\"auto, (max-width: 450px) 100vw, 450px\" \/><\/a><br \/>\n&nbsp;<br \/>\nFonctionnalit\u00e9s :<br \/>\n&#8211; DLSS Super Resolution avec modes Auto, DLAA, Quality, Balanced, Performance et Ultra Performance<br \/>\n&#8211; DLAA int\u00e9gr\u00e9 via le pipeline DLSS<br \/>\n&#8211; DLSS 5 Neural Rendering via RenoDX \/ ReShade<br \/>\n&#8211; DLSS Frame Generation x2 \/ x3 \/ x4<br \/>\n&#8211; Smooth Motion<br \/>\n&#8211; Activation\/d\u00e9sactivation de DLSS, Neural Rendering et Frame Generation directement depuis la barre d&rsquo;\u00e9tat, sans red\u00e9marrage<br \/>\n&#8211; Affichage du framerate effectif dans la barre d&rsquo;\u00e9tat<br \/>\n&#8211; Support des GPU NVIDIA RTX 40 et RTX 50<br \/>\n&#8211; Builds Windows x64 autonomes avec les runtimes DLSS inclus<br \/>\n&#8211; Synchronisation automatique avec le master de Ryubing chaque lundi<br \/>\n&#8211; Auto-update du build<br \/>\n&#8211; Compatibilit\u00e9 avec les fonctionnalit\u00e9s de Ryubing: CPU, GPU Vulkan\/OpenGL, contr\u00f4les, DLC, mods et shader cache<br \/>\n&nbsp;<br \/>\nFrame Generation :<br \/>\n&#8211; DLSS-G permet les modes x2, x3 et x4<br \/>\n&#8211; Le Frame Generation n\u00e9cessite une RTX 40-series minimum<br \/>\n&#8211; Les modes x3\/x4 n\u00e9cessitent une RTX 50-series<br \/>\n&#8211; Les jeux first-party verrouill\u00e9s \u00e0 30 FPS peuvent atteindre 60 FPS avec le mode x2<br \/>\n&#8211; Le mode x4 peut permettre de d\u00e9passer 100 FPS sur une carte RTX 50-series<br \/>\n&#8211; Le framerate effectif est affich\u00e9 dans la barre d&rsquo;\u00e9tat, par exemple 30 FPS FG x2 \u2192 60 FPS<br \/>\n&#8211; L&rsquo;impl\u00e9mentation actuelle utilise encore des vecteurs de mouvement et une profondeur simplifi\u00e9s, car l&rsquo;\u00e9mulateur ne peut pas acc\u00e9der aux motion vectors internes du moteur du jeu<br \/>\n&#8211; Cela peut provoquer du warping dans certaines situations, notamment sur les HUD et lors de mouvements de cam\u00e9ra rapides<br \/>\n&#8211; Le Hardware Optical Flow est pr\u00e9vu comme prochaine \u00e9tape pour am\u00e9liorer cette limitation<br \/>\n&nbsp;<br \/>\nNeural Rendering :<br \/>\nLe Neural Rendering est int\u00e9gr\u00e9 via un addon RenoDX\/ReShade et peut \u00eatre activ\u00e9 dans le jeu avec F6. Son utilisation n\u00e9cessite une installation initiale de la couche Vulkan ReShade.<br \/>\n&nbsp;<br \/>\n<a href=\"https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss2.png\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter  wp-image-136469\" src=\"https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss2.png\" alt=\"\" width=\"450\" height=\"513\" srcset=\"https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss2.png 1924w, https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss2-263x300.png 263w, https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss2-898x1024.png 898w, https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss2-768x876.png 768w, https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss2-1347x1536.png 1347w, https:\/\/www.emu-france.com\/wp-content\/uploads\/2026\/09\/ryu-dlss2-1796x2048.png 1796w\" sizes=\"auto, (max-width: 450px) 100vw, 450px\" \/><\/a><br \/>\n&nbsp;<br \/>\nArchitecture DLSS :<br \/>\nnvngx_dlss.dll \u2014 DLSS<br \/>\nnvngx_dlssg.dll \u2014 Frame Generation<br \/>\nnr-stage.dll \u2014 pont Vulkan \u2194 D3D12<br \/>\nsl.dlss_g.dll \/ Streamline<br \/>\nrenodx-dlss5.addon64 \u2014 Neural Rendering<br \/>\nReShade et ses composants<br \/>\n&nbsp;<br \/>\nConfiguration minimale indiqu\u00e9e :<br \/>\n&#8211; Windows 10 20H1 ou sup\u00e9rieur<br \/>\n&#8211; 6 c\u0153urs CPU<br \/>\n&#8211; 8 Go de RAM<br \/>\n&#8211; Vulkan 1.4 ou OpenGL 4.6<br \/>\n&#8211; RTX NVIDIA pour les fonctions DLSS<br \/>\n&nbsp;<br \/>\n\u00c0 noter :<br \/>\nLe d\u00e9p\u00f4t du fork est priv\u00e9 car il contient des binaires propri\u00e9taires NVIDIA\/RenoDX. Le projet indique que tout ce qui concerne l&rsquo;\u00e9mulation elle-m\u00eame reste celui de Ryubing: RYU ajoute essentiellement sa propre pile DLSS au-dessus.<br \/>\n&nbsp;<br \/>\nLe fork de Ryubing est automatiquement synchronis\u00e9 avec le master chaque lundi, tandis que le build se met lui-m\u00eame \u00e0 jour afin de r\u00e9cup\u00e9rer les derni\u00e8res \u00e9volutions.<br \/>\n&nbsp;<br \/>\n<p class=\"p_telecharger_icone_zip\"><a class=\"telecharger_icone_zip\" href=\"https:\/\/www.emu-france.com\/?wpfb_dl=8397\" title=\"Download Ryu\">T\u00e9l\u00e9charger Ryu (2026\/09\/02) (232 Mo)<\/a><\/p><\/p>\n<p class=\"p_site_officiel\"><a class=\"site_officiel\" href=\"https:\/\/ryu.dotslash.pro\/\" target=\"_blank\" rel=\"noopener\">Site Officiel<\/a><\/p>\n<p class=\"p_en_savoir_plus\"><a class=\"en_savoir_plus\" href=\"https:\/\/www.emu-france.com\/emulateurs\/5-consoles-de-salon\/467-nintendo-switch-console\/\">En savoir plus&#8230;<\/a><\/p>\n<div class=\"fcbkbttn_buttons_block\" id=\"fcbkbttn_left\"><div class=\"fb-share-button  \" data-href=\"https:\/\/www.emu-france.com\/?p=136470\" data-type=\"button_count\" data-size=\"small\"><\/div><\/div>","protected":false},"excerpt":{"rendered":"<p>RYU (ou Ryubing-Dlss) est un fork de Ryubing qui ajoute une pile graphique DLSS 5 directement int\u00e9gr\u00e9e \u00e0 l&rsquo;\u00e9mulateur. Le projet conserve les fonctionnalit\u00e9s de Ryubing et ajoute notamment le DLSS Super Resolution, le DLAA, le Neural Rendering et la &#8230;<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_feature_clip_id":0,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[1],"tags":[],"class_list":["post-136470","post","type-post","status-publish","format-standard","hentry","category-par-defaut","uentry","postonpage-1","odd","post-author-Jets"],"jetpack_publicize_connections":[],"jetpack_shortlink":"https:\/\/wp.me\/pKi2R-zv8","jetpack_likes_enabled":false,"jetpack_sharing_enabled":true,"jetpack_featured_media_url":"","_links":{"self":[{"href":"https:\/\/www.emu-france.com\/index.php?rest_route=\/wp\/v2\/posts\/136470","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.emu-france.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.emu-france.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.emu-france.com\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.emu-france.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=136470"}],"version-history":[{"count":2,"href":"https:\/\/www.emu-france.com\/index.php?rest_route=\/wp\/v2\/posts\/136470\/revisions"}],"predecessor-version":[{"id":136472,"href":"https:\/\/www.emu-france.com\/index.php?rest_route=\/wp\/v2\/posts\/136470\/revisions\/136472"}],"wp:attachment":[{"href":"https:\/\/www.emu-france.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=136470"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.emu-france.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=136470"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.emu-france.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=136470"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}