Waifu2x-Extension-GUI
nvidia-patch
Waifu2x-Extension-GUI | nvidia-patch | |
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92 | 309 | |
12,073 | 2,975 | |
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8.4 | 8.5 | |
7 days ago | 9 days ago | |
C++ | Python | |
GNU General Public License v3.0 or later | - |
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Waifu2x-Extension-GUI
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Looking for ways to run AI GUI software via cloud gpu compute
The software in question is on Github called Waifu2x-Extension-GUI https://github.com/AaronFeng753/Waifu2x-Extension-GUI
- Is there any way to upscale local files permanently using Nvidia's RT VSR?
- Exporting Videos with RTX Video Super Resolution
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Can Stable Diffusion fix blurry photos like waifu 2x?
Waifu2x GUI
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The final shot upscaled to 4K
I used a program called Waifu2x-Extension-GUI. It’s fantastic for upscaling animation shows (and yes it supports video upscales too)! There are web-app versions out there with the same name, but the results I get from those are nowhere near as good. If anyone’s unable to download or figure it out, I’d be happy to upscale any images you want!
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Any good upscale softwares?
I heard topaz may be the best but you can try bsrt, video2x and waifu2x ext gui.
- For anyone who isn't already aware of it, Tiled VAE is a way to create giant (4k+) images in automatic1111 without any kind of visible seams or lots of complicated steps. Info in comments.
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Stable Diffusion makes trippy music videos
I do my upscaling with Waifu2x, specifically with this really well made GUI https://github.com/AaronFeng753/Waifu2x-Extension-GUI
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Tutorial para leer manga en español con calidad 4K (no es joda)
se descargan este archivo (Waifu2x-Extension-GUI).
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Is there a way to use the RTX 4090 to AI Upscale anime / movies / videos from their resolutions to 4K or greater?
4090 is very fast in this regard. It takes about 6 hours or so for a film that is 1.5 hours. The software is called Waifu2x Extension GUI by Aaron Feng. It's free to use, but you'll get a pop-up asking to donate. It gets constant updates, which is always a major plus. Here's the GitHub: https://github.com/AaronFeng753/Waifu2x-Extension-GUI I used the RealCugan AI Model since I found it yields the best results in terms of speed and quality. You can use RealESRGAN for Live works, but it will take significantly longer. Sidenote: You can use it on blurry pictures as well (Since videos are simply a series of frames/still images)
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?
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
vgpu_unlock - Unlock vGPU functionality for consumer grade GPUs.
cupscale - Image Upscaling GUI based on ESRGAN
nvlax - Future-proof NvENC & NvFBC patcher (Linux/Windows)
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
Sunshine - Self-hosted game stream host for Moonlight.
realsr-ncnn-vulkan - RealSR super resolution implemented with ncnn library
wlroots - A modular Wayland compositor library
mpc-hc - Media Player Classic
unmanic - Unmanic - Library Optimiser
FidelityFX-FSR - FidelityFX Super Resolution
Proxmox-Nvidia-LXC- - how to create an Proxmox LXC in 6.2-1