waifu2x-ncnn-vulkan
ESRGAN
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waifu2x-ncnn-vulkan | ESRGAN | |
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30 | 21 | |
2,874 | 5,556 | |
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0.0 | 0.0 | |
about 1 year ago | over 1 year ago | |
C | Python | |
MIT License | Apache License 2.0 |
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waifu2x-ncnn-vulkan
- Koji projekat na Githubu vas je odusevio u zadnje vreme?
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I want to compile Waifu2x and I keep getting these errors, I tried looking for vulkan library (haven't searched OpenCL library) and I found none.
Hi OP, try going in ubuntu then install there. Mine works fine after doing these steps: sudo apt update && upgrade sudo apt install apt-utils sudo apt install python-is-python3 git clone https://github.com/nihui/waifu2x-ncnn-vulkan.git cd waifu2x-ncnn-vulkan git submodule update --init --recursive mkdir build cd build apt install cmake apt install build-essential cmake ../src cmake --build . -j 4 ./waifu2x-ncnn-vulkan Note: i thought its stucked at 100% after cmake --build but just wait maybe 5mins and completed installing to build, all good, and... im no IT/Dev but it worked for me by following the installation guide. Now i can see these ``` Usage: waifu2x-ncnn-vulkan -i infile -o outfile [options]...
- Upscayl - Free and Open Source AI Image Upscaler for Linux, Mac and Windows
- best ud free cheat?
- Stable Diffusion on AMD RDNA™ 3 Architecture
- QualityScaler: Image/video deeplearning upscaler with any GPU
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How to convert a low resolution, pixelated image into a high resolution picture 💫
If you need to enhance the quality of an image that isn't single-coloured; use an AI such as Waifu2x Vulkan or Waifu2x Caffe
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AI generated photos of the Windows 95 logo with a GameCube and the statue of David, sorry they aren't high quality, I would of had to pay money I don't have to get them in better quality.
There are AI upscaling tools that can increase the resolution of images at a decent quality, such as waifu2x and RealSR. I used the latter and made you 4x upscales of your photos, uploaded here:
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Photo restoration options?
https://github.com/nihui/waifu2x-ncnn-vulkan/ immediately comes to mind which has a denoiser, but it's trained on cartoons / animé rather than photographs. Still, the idea is there?
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I gave some an A.I. some Vaporwave prompts
As /u/EuphoricPenguin22 said you can use AI upscale tools to upscale your image, but I went ahead and did that for you. 😃 I used RealSR to make a 4x copy of the original, then used waifu2x to make a 8x copy from the 4x copy. Both uploaded here:
ESRGAN
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Upscayl - Free and Open Source AI Image Upscaler for Linux, Mac and Windows
This seems to be based on ESRGAN which is supposed to be higher quality than waifu2x.
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How can I change the parameters of ESRGAN
I downloaded https://github.com/xinntao/ESRGAN , I run it using command line, no gui.
- Finetuning a x2 Real-ESRGAN model?
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The Golden Gator re-imagined by AI (Read comment before watching on stream)
Nerd info: Uses 3 different algorithms together: https://github.com/CompVis/stable-diffusion For generating source https://github.com/TencentARC/GFPGAN For repairing faces, mouths, eyes https://github.com/xinntao/ESRGAN For upscaling Paint.Net for manual retouching, cleanup and adjustments.
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[D] Has anyone tried GAN "tricks" on VAEs?
Code for https://arxiv.org/abs/1809.00219 found: https://github.com/xinntao/ESRGAN
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How to convert a low resolution, pixelated image into a high resolution picture 💫
Even if it's not a simple black and white image, you can get damn impressive results when upscaling images with GAN-based algorithms, like ESRGAN, together with a suitable pretrained model. Both are free of charge. The software can be tricky to use compared to Photoshop, though.
- Some architectural stuff I’ve been working on.
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Paper: "A-ESRGAN: Training Real-World Blind Super-Resolution with Attention U-Net Discriminators", Wei et al 2021. "Main idea: Introduce attention U-net into the field of blind real world image super resolution. We aims to provide a super resolution method with sharper result and less distortion."
There are two Generator architectures that are in the code, however these are actually just sitting there unused, likely from work that did not pan out because if you look at their inference code it's not used at all. Instead they directly import the plain old vanilla RRDB architecture from BasicSR yet again another Xinntao repository. Seeing the theme here.
- its not a picture but i needs these documents whenever i try to print them they blur to an unreadable extent can someone please help?
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Training ESRGAN: Seemingly impossible
Recently I’ve been playing around with AI-assisted image upscaling with ESRGAN and Real-ESRGAN, and I made the grave mistake to act on my desire to train it on my own dataset. I’ve written some Python in the past, but this is from the perspective of someone's first venture into ML.
What are some alternatives?
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
realsr-ncnn-vulkan - RealSR super resolution implemented with ncnn library
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
waifu2x-caffe - waifu2xのCaffe版
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.
srmd-ncnn-vulkan - SRMD super resolution implemented with ncnn library
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
waifu2x-converter-cpp - Improved fork of Waifu2X C++ using OpenCL and OpenCV
traiNNer - traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing.
BasicSR - Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.