FidelityFX-FSR
nvidia-patch
FidelityFX-FSR | nvidia-patch | |
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49 | 309 | |
1,998 | 2,975 | |
0.0% | - | |
0.0 | 8.5 | |
almost 2 years ago | 2 days ago | |
C | Python | |
MIT License | - |
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FidelityFX-FSR
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Starfield’s missing Nvidia DLSS support has been added by a free mod
Also DLSS has pretty strict requirements in advertising, requiring nvidia logo & adverts on splash screens and give nvidia any rights to use your app in their own advertising. [0] It's certainly not "free". A completely night and day difference to FSR, which just uses MIT [1]
Lots of people online seem to believe both are "free", so the only reason why you wouldn't implement one is some back room deal. But in my experience, just getting everyone into the same room to sign off on things like that is hard.
[0] https://github.com/NVIDIA/DLSS/blob/main/LICENSE.txt
[1] https://github.com/GPUOpen-Effects/FidelityFX-FSR/blob/maste...
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Nixxes graphics programmer: "We have a relatively trivial wrapper around DLSS, FSR2, and XeSS. All three APIs are so similar nowadays, there's really no excuse."
"IT doesn't work that way. DLSS may be a click in some Unreal Games, but custom engines? Yeah, no. You need to modify the code to implement it, which is PROHIBITED by the license Nvidia has you accept when you accept their SDK terms: https://github.com/NVIDIA/DLSS/blob/main/LICENSE.txt DLSS is not FOSS (Free and Open Source) like FSR. For comparison, FSR's license that lets you do whatever the hell you need to get it functioning in the game or improve performance: https://github.com/GPUOpen-Effects/FidelityFX-FSR/blob/master/license.txt Blame Nvidia for devs not wanting to touch non-free code and enter a legal agreement where they may be litigated down the line...for implementing a technology that SELLS Nvidia GPUs. It's literally like me threatening to sue you for bringing customers to my business. Again, blame Nvidia. By the way, they are also the one that sold you the feature, so let them be the one to implement it. I keep hearing Nvidia is a "god tier software company" but can't implement DLSS on the driver side? Somehow I don't buy it, especially when they release game-ready drivers anyway. And before someone brings up the BS argument it needs game data, anyone can find those memory addresses to get to the engine or they can ask. Considering they are Nvidia, don't think any game dev will keep silent about it or how to interface with their game if there are driver issues. EDIT: Also just so you know, XeSS is also under a similarly stupid license as DLSS XeSS License: https://github.com/intel/xess/blob/main/licenses/LICENSE.pdf Keep in mind this nugget from Intel's license: "No reverse engineering, decompilation, or disassembly..." Only issue is that games need to be DECOMPILED when DEBUGGED! "
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Nvidia Video Super Resolution Comes to Firefox: How to Test
FSR 1.0 is a simpler, open source implementation, isn't it?
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Portal RTX (Remix) - underutilization on RDNA2 hardware
Same Unity release had also included FSR (which are open-source shaders: one, two)
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I'm a noob
It’s also only part of FSR. If the point your trying to make is that FSR is just fancy lanzcos, it’s not. You can see for yourself if you’re able to read C code: https://github.com/GPUOpen-Effects/FidelityFX-FSR
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Upscaling video using ML
I'd recommend using AMD's FSR1 instead for this. It's designed for games so it should run very fast and looks reasonably good (using Lanczos).
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OW2 Settings - High Quality Upsampling
High quality upsampling is a shader to upscale lower render scale images into your native display resolution, for the implementation see: https://github.com/GPUOpen-Effects/FidelityFX-FSR
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Anyone else see those ludicrous rtx 4090/4080 prices?
It goes one further too because FSR is open source so if you wanted (and knew what you were doing) you could go and look yourself https://github.com/GPUOpen-Effects/FidelityFX-FSR
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It's time to upscale FSR 2 even further: Meet FSR 2.1!
Here's a rather concise explanation. And again, the source is available.
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There is a CPU-bound problem with Tarkov since the wipe...
FSR source code is available on Github, so is much better documented FSR2.0.
nvidia-patch
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Do I need to have a beefy PC to transcode 4k? Or can I just buy my brother an Nvidia shield pro and setup a cheap server on my end?
This can be patched out. https://github.com/keylase/nvidia-patch
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Transcoding 4K HDR tone mapping
NVIDIA Corporation GA106 [GeForce RTX 3060] and I applied the patch here https://github.com/keylase/nvidia-patch
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Linux 6.6 to Protect Against Illicit Behavior of Nvidia Proprietary Driver
> CUDA, and pretty much all optimization(hacks) done to run games better
And arbitrary limitations implemented at the driver level to force you to purchase their enterprise GPUs, see https://github.com/keylase/nvidia-patch#nvenc-and-nvfbc-patc...
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GPU Guide (For AI Use-Cases)
Nvidia has no motivation to make a consumer card with lots of VRAM, that's basically the only (relevant) separator between the GeForce family and the Quadro lineup.
There are restrictions on NVENC streams with consumer cards, but that has been a solved problem for a while [0].
If they were to make a consumer card with more VRAM, it would immediately undercut their own Quadro/Tesla lineup, which cost substantially more. I don't see a reason for them to do it.
0: https://github.com/keylase/nvidia-patch
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Can't hardware transcode mor than 5 at a time even after all the required changes
I have never had to do the session limit bump thing from the last link. I have a 3090 as well and simply did the initial unlock, which worked fine. I would reinstall fresh drivers from Nvidia, making sure you install the newest one that is supported by the unlock tool (536.40 as of this post, the GitHub for the patch has links to the drivers - https://github.com/keylase/nvidia-patch/tree/master/win)
- Can you flash any consumer version Nvidia card to remove the streaming limits?
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Can my GPU transcode?
Aren't these Quadro versions. The patch here. https://github.com/keylase/nvidia-patch supports Quadro versions of you click on the win clickable.
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Let's have a talk - Guide to Choosing the Best Plex Server for You
Second, the GPU. The GPU is probably as important as the CPU, and in some cases more important, and when we talk about GPUs we will primarily talk about Nvidia GPUs as they are officialy supported by the Plex team. NVIDIA GPUs are important for Plex hardware transcoding due to their dedicated video encoding/decoding units, superior performance, wide codec support, improved video quality, reduced CPU load, power efficiency. They offer a powerful hardware acceleration solution that can greatly enhance the transcoding capabilities of a Plex server. It's also important to note that Nvidia GPUs require a patch to unlock the number of HW transcoding streams. Dedicated GPUs are large pieces of hardware and have their place in desktop PCs. However, they can also be used with mini-PCs by using an external GPU enclosure.
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What does this Max. 3 concurrent stream cap mean anway?
As there's no NVENC patch available (yet) for the Beta driver branch - referring to this one: https://github.com/keylase/nvidia-patch - which can lift the limits of HW transcoding, I was now wondering a little, as I can see 5 (hw) streams on Plex, which actually shouldn't/cannot be the case no?
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Is there somewhere that lists Nvidia GPUs.
I haven’t done this yet but there is a patch on GitHub that removes the limitation for consumer GPUs. Makes lower end cards more attractive for this type of work
What are some alternatives?
FidelityFX-CAS - Contrast Adaptive Sharpening (CAS)
vgpu_unlock - Unlock vGPU functionality for consumer grade GPUs.
FSRCNN-TensorFlow - An implementation of the Fast Super-Resolution Convolutional Neural Network in TensorFlow with a focus on artifact mitigation
nvlax - Future-proof NvENC & NvFBC patcher (Linux/Windows)
Magpie - An all-purpose window upscaler for Windows 10/11.
Sunshine - Self-hosted game stream host for Moonlight.
proton-ge-custom - Compatibility tool for Steam Play based on Wine and additional components
wlroots - A modular Wayland compositor library
Waifu2x-Extension-GUI - Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
unmanic - Unmanic - Library Optimiser
realsr-ncnn-vulkan - RealSR super resolution implemented with ncnn library
Proxmox-Nvidia-LXC- - how to create an Proxmox LXC in 6.2-1