NNSuperResolution will automatically enter a demo mode unless a valid license is found. The demo mode will show the functionality of the software, but add a noise/watermark on top of the processed images. This makes it easy to do a software trial by just downloading and testing the software without sorting out a license first.
Please do try the software on your own system before ordering a license using the shop.
If you do wish to test out any of the softwares without limitations, you can request a free trial license using this page.
By downloading our software you are accepting our end user license agreement.
If you are unsure of what CUDA version of the different builds that you should download and run, please have a look at our new CUDA compatibility chart page. If you are unsure of how to install the plugins, please read our installation instructions page.
NNSuperResolution – v4.0.0
CUDA11.8.0* | MPS** | CPU only | |
NVIDIA cuDNN | v8.4.1* | – | – |
NVIDIA driver | 520.61+ on Linux 520.06+ on Windows |
– | – |
Nuke15.1 (Nuke Indie compatible) |
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Nuke15.0 (Nuke Indie compatible) |
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Nuke14.1 (Nuke Indie compatible) |
** MPS is Apple’s GPU acceleration on Macs called “Metal Performance Shaders” and is available on
modern Macs with native Apple Silicon using the M series of CPUs (currently all M1, M2 and M3 variants)
CUDA11.8.0 | CUDA11.1.1* | CPU only | |
NVIDIA cuDNN | v8.4.1 | v8.4.1* | – |
NVIDIA driver | 520.61+ on Linux 520.06+ on Windows |
455.32+ on Linux 456.81+ on Windows |
– |
Nuke14.0 (Nuke Indie compatible) |
For instant Ampere/RTX30xx compatibility, please use the CUDA11.2 (or CUDA11.8) builds.
But for maximum compatibility, please read below: * This combination of CUDA & cuDNN matches what Nuke 13.x is built against. This means that if you do need NNSuperResolution to work well together with Foundry AIR nodes (such as CopyCat) in the same Nuke scripts, you have to use this version. If you got a compute capability 8.0, 8.6, 8.9 or 9.0 GPU (i.e. Ampere/Ada Lovelace architecture, for example RTX3080), you will then need to wait for the plugin to auto JIT-compile the kernels for that GPU the first time it’s used. Please see the section about “environment variables” in the documentation to read about how to increase the CUDA_CACHE_MAXSIZE to successfully use this version with modern GPUs.