![]() Y ou'll want the Studio Ready option if there are multiple choices. On the Nvidia driver update page you'll be asked to input your graphics card information and search for available drivers. To update your Nvidia graphics card directly from Nvidia's website: Nvidia Driver Update Page AMD users can use their AMD control center or go directly to AMD resources online. We suggest you do not use the Windows Updater to get your graphics card driver because NVIDIA and AMD release new drivers very frequently and they may not show up in Windows for quite some time.įor this reason, it is best to go through the NVIDIA website or computer based control center, such as GeForce Experience. This most often occurs on Nvidia graphics cards that need to be updated. This should now be resolved.If you receive this error message, most likely you'll need to update your graphics driver for your dedicated graphics card. Previously when batch processing a large amount of RAW files, a memory leak could cause the program to crash.Previously, this could have resulted in the app crashing. We’ve improved the reliability of applying the RAW model to Canon CR2 files.We fixed an issue that prevented Adobe Lightroom Classic from not being able to import all images from large batch processes.While DeNoise AI v3.7 has a large number of bug fixes, here are some notable ones: Now, the slider for both formats goes from 1 – 100 instead of 1 – 10. We’ve also improved the JPEG Quality and PNG Compression sliders, giving users more granularity for those settings when saving those respective files. With DeNoise AI v3.7, we’ve added support for the Olympus OM1, as well as a number of other camera models. We’re constantly working to improve our support of new camera model RAW files. Important stability improvements and bug fixes As you can see, the performance gains are notable. Here are two benchmark tests comparing the NVIDIA RTX 3080 and RTX 3060 performance of the DeNoise AI RAW model using DirectML and TensorRT. While users should experience performance boosts with all models, the RAW model will yield especially huge gains when using a supported NVIDIA GPU. We optimized the library used for NVIDIA GPUs from DirectML to TensorRT and have included these models with the DeNoise AI installer. With the implementation of TensorRT models, users who have computers containing NVIDIA GPUs that are 30, 20, or 10 Series will experience model performance improvements. Here are some examples that illustrate the improvements between Low Light v3 (in DeNoise AI v3.6.2) and Low Light v4 (in DeNoise AI v3.7). The improvements will also be most visible with images suffering from stronger color noise. With these updates, color blotchiness and patterns are significantly reduced, especially in the highlight and shadow regions. That’s because we added a smaller model with the sole purpose of matching the input and output color, thereby establishing improved color consistency of the image after the model processes it. This new approach allows the model to focus on improving noise reduction without worrying about color consistency… yet. ![]() To alleviate that issue, we adjusted our approach and reduced that color consistency constraint (say that three times fast □) to work on larger regions of the image as opposed to at a very local level. This was due to the Low Light model preserving some of the color in the noise pattern of the original at a very local level, in an effort to provide more consistent color. When using the Low Light v3 model in DeNoise v3.6, you may have experienced blotchiness, or patterns, especially in the highlight and shadow regions of very noisy photos. Improved color consistency with Low Light v4 Bug fix highlights include plugging up a memory leak when batch processing using the RAW model, improved handling of batch import into Adobe Lightroom Classic, and a new workflow that prevents crashes when applying the RAW model to Canon CR2 files.įor a limited time, DeNoise AI is $20 off and you can get an additional 15% off with promo code DENOISE15 (expires July 8, 2022).Īdditional information on the latest Topaz Labs DeNoise AI version 3.7: Important stability improvements and bug fixes – Additional camera model RAW files are now supported, including the highly requested Olympus OM1.Updated TensorRT models – Users of supported NVIDIA GPUs will experience performance improvements, especially when using the RAW model.Improved color consistency with Low Light v4 – Improvements to how we trained Low Light v4 allows us to provide more consistent color while reducing blotchiness in the highlights and shadows.Topaz Labs released DeNoise AI version 3.7 which introduces improved color consistency with Low Light v4, updated TensorRT models, important stability improvements, and bug fixes:
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