{"id":19470,"date":"2022-07-22T14:47:41","date_gmt":"2022-07-22T14:47:41","guid":{"rendered":"https:\/\/jurn.link\/dazposer\/?p=19470"},"modified":"2022-07-26T20:55:26","modified_gmt":"2022-07-26T20:55:26","slug":"superfly-in-seconds","status":"publish","type":"post","link":"https:\/\/jurn.link\/dazposer\/index.php\/2022\/07\/22\/superfly-in-seconds\/","title":{"rendered":"SuperFly in seconds"},"content":{"rendered":"<p>I&#8217;ve been re-listening to the Poser 12 launch webinar recording, and learned a few things&#8230;<\/p>\n<p>39:53 mins &#8211; the new Cycles 2 &#8220;Adaptive Sampling works best with smaller bucket sizes&#8221;.<\/p>\n<p>40:27 mins &#8211; &#8220;Branched Path Tracing works well for CPU renders, but not GPU renders&#8221;.<\/p>\n<p>For me this custom SuperFly preset works so well even at a bucket size of 64&#8230;<\/p>\n<p><a href=\"https:\/\/jurn.link\/dazposer\/wp-content\/uploads\/2022\/07\/settings.jpg\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/jurn.link\/dazposer\/wp-content\/uploads\/2022\/07\/settings.jpg\" alt=\"\" width=\"840\" height=\"695\" class=\"aligncenter size-full wp-image-19471\" srcset=\"https:\/\/jurn.link\/dazposer\/wp-content\/uploads\/2022\/07\/settings.jpg 840w, https:\/\/jurn.link\/dazposer\/wp-content\/uploads\/2022\/07\/settings-300x248.jpg 300w, https:\/\/jurn.link\/dazposer\/wp-content\/uploads\/2022\/07\/settings-768x635.jpg 768w\" sizes=\"auto, (max-width: 840px) 100vw, 840px\" \/><\/a><\/p>\n<p>For me it closely mimics the behaviour of iRay. Not sure where I got this iRay-like preset now. One of the forums I think? I don&#8217;t know the mind-bending math\/theory behind it, but it works for me. Bear in mind that this is for a Windows PC with multiple Xeon CPUs running a total of 24 render-threads, and that &#8220;Branched Path&#8221; does not play nicely with graphics cards. Your super-powered graphics card may need something completely different.<\/p>\n<p>Of course, this assumes you don&#8217;t have awkward old slow-rendering Poser hair bogging down the render speed. Once you have good go-to hair, it&#8217;s best to turn it off until the final render.<\/p>\n<p>If lacking hair or other boggers, this superfast preset gives instant pop in like iRay. Quick de-grain too. Fast finessing to reach a usable image. All very iRay-like, which I like. Also works very with Poser 12&#8217;s CPU-friendly and very quick denoiser. Manually cancel it after about some 20 seconds, wait a moment for Poser 12&#8217;s excellent de-noise to do its work, and you&#8217;re done.<\/p>\n<p>Of course, it&#8217;s no challenger to DAZ&#8217;s iRay after it&#8217;s had a dose of Scene Optimiser. Which then lets me run three dressed and hair-ed characters <strong>in real-time iRay<\/strong> in the DAZ iRay-driven viewport. But the above Poser SuperFly preset may be of use to some.<\/p>\n<p>Also of note, in the webinar it&#8217;s clearly stated of the Library Panel&#8230; &#8220;You can float it, but you can&#8217;t float it outside the app window. I don&#8217;t see that happening any time in the future&#8221;. But in 2022 this can now be done, and you can now float it over to a second monitor and yet still do drag and drop to the Poser stage.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I&#8217;ve been re-listening to the Poser 12 launch webinar recording, and learned a few things&#8230; 39:53 mins &#8211; the new Cycles 2 &#8220;Adaptive Sampling works best with smaller bucket sizes&#8221;. 40:27 mins &#8211; &#8220;Branched Path Tracing works well for CPU renders, but not GPU renders&#8221;. For me this custom SuperFly preset works so well even [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3,26,12],"tags":[],"class_list":["post-19470","post","type-post","status-publish","format-standard","hentry","category-poser","category-poser-12","category-tutorials"],"_links":{"self":[{"href":"https:\/\/jurn.link\/dazposer\/index.php\/wp-json\/wp\/v2\/posts\/19470","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/jurn.link\/dazposer\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/jurn.link\/dazposer\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/jurn.link\/dazposer\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/jurn.link\/dazposer\/index.php\/wp-json\/wp\/v2\/comments?post=19470"}],"version-history":[{"count":13,"href":"https:\/\/jurn.link\/dazposer\/index.php\/wp-json\/wp\/v2\/posts\/19470\/revisions"}],"predecessor-version":[{"id":19721,"href":"https:\/\/jurn.link\/dazposer\/index.php\/wp-json\/wp\/v2\/posts\/19470\/revisions\/19721"}],"wp:attachment":[{"href":"https:\/\/jurn.link\/dazposer\/index.php\/wp-json\/wp\/v2\/media?parent=19470"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/jurn.link\/dazposer\/index.php\/wp-json\/wp\/v2\/categories?post=19470"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/jurn.link\/dazposer\/index.php\/wp-json\/wp\/v2\/tags?post=19470"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}