Awesome news 
Great! Rendering almost faster than in Eevee:)
Thank you
I found even simpler way. Just go to Blender shortcut properties and paste this in Target field:
CMD /c "SET CYCLES_OPTIX_TEST=1 && START "" "blender.exe""
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Not needed anymore starting tonights dailies.
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Hi there, it’s possible to open from terminal on osx?
thanks
I don’t seem able to get the optix denoiser working on my 1070. Just says cancel in the top left corner. Does it require a specific driver? I’m using the latest studio driver:
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oh, perhaps it’s related to one of my shaders…light path node?
error:
OptiX implementation does not support shader raytracing yet
OptiX backend doesn’t support the bevel and AO shaders atm.
ah thanks, must be the bevel then.
I wonder if it would be possible to have the error message list the culprit materials/nodes?
Is there a way to only do viewport denoising with OptiX without switching to OptiX in the system preferences? I have a 1070 which works now but only when changing away from CUDA. I’d like to still use CUDA for final renders but OptiX in viewport.
I’m using the method mentioned by Mazay (on 2.83) but even when I select CUDA on preferences “AI Denoising” is still available and works fine.
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any possibility to make it work on AMD Open CL?
The OptiX denoiser was designed by Nvidia for Nvidia GPUs. I saw there was a project that someone was working on to convert things like CUDA code into OpenCL, and theoretically the same could happen for OptiX to OpenCL, however, it’ll probably take a while to get done.
Brecht has created a task for the Intel denoiser being available for the viewport. The plan is to have this implemented into Blender by 2.90 release and it should work on most x86 CPUs from the last 10 years. https://developer.blender.org/T76259
@JuanGea has the Bone master build which if I remember correctly has a prototype implementation of the Intel denoiser for the viewport.
Windows: https://blender.community/c/graphicall/Mlbbbc/
Linux: https://blender.community/c/graphicall/djbbbc/
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Yep, we have the first implementation @StefanW did of the OIDN for viewport
But keep in mind that it only works when you use CPU as render device, if you use GPU (no matter if it’s Nvidia or AMD) it does not work I’m afraid.
OIDN for viewport will be awesome. I definitely prefer OIDN over Optix in terms of IQ. I suspect on a modern CPU it won’t be that much slower than Optix, but I’ll be interested to benchmark it once it’s committed.
Also, it looks like with the change @brecht is doing, it will part of the render process as well, which is really nice.
Well, I can say that while it’s fast, in a 2990WX is not as fast as Optix in a GTX1080 (which is not an RTX card), but I don’t know if that can be optimized and improved, I have no idea
I’ll have to do some benchmarking among my systems to get a sense of how OIDN scales with multicore. Maybe it works better with high frequency and fewer cores? I would be nice if the performance could be optimized, but the best solution is an OpenCL denoiser or OIDN adapted to work with OpenCL so that it would be fast on any OpenCL GPU.
Oddly enough, I found a post you made back in January asking a similar thing about RadeonProRender
Yep, but people that tested it told me that the results were far from optimal compared to Optix Denoiser and OIDN, I’m not sure about it’s current status or results.
AMD RDNA 2 looks like it will be very fast and will include hardware ray tracing. What’s not known yet is the software side. I’m hoping that they realize the importance of ray tracing beyond video games and provide a solid OpenCL-based denoiser (and render acceleration). However, it might be proprietary like Optix. I guess we’ll find out in September.
The denoiser doesn’t work with the raytracking part of the hardware, the RTX cores, but with the AI part of it, the Tensor Cores, I imagine RDNA2 will also include some AI/ML oriented hardware.
Yep, we’ll find out when RDNA2 is released