waifu2x-ncnn-vulkan
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waifu2x-ncnn-vulkan | chaiNNer | |
---|---|---|
30 | 46 | |
2,874 | 4,029 | |
- | 5.3% | |
0.0 | 9.8 | |
about 1 year ago | 6 days ago | |
C | Python | |
MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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]...
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- Stable Diffusion on AMD RDNA™ 3 Architecture
- QualityScaler: Image/video deeplearning upscaler with any GPU
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Resize and depixelate low resolution images
why not https://github.com/nihui/waifu2x-ncnn-vulkan ?
- "Maalasin" nämä film noir -henkiset hahmot tekoälyn avulla, pelottavaa mihin AI jo nyt pystyy
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How do I go about upscaling these Minecraft models without losing quality?
The other is using AI upscaling, which will allow you to upscale it while keeping a high quality look. You could try Waifu2x for that.
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Do any anime streaming service out there has used AI upscaling? or evry one stays autentic to the soruce?
https://github.com/nihui/waifu2x-ncnn-vulkanis that a legist question? look it for yourself.
chaiNNer
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chaiNNer Is Awesome
It is like Comfy UI Jr. but much easier to navigate. Huge amount of useful features, and you can connect it to the WebUI. I highly recommend checking it out: https://github.com/chaiNNer-org/chaiNNer
- ChaiNNer – Node/Graph based image processing and AI upscaling GUI
- Anyone turn eye AF off when taking portraits of people or animals A7RIV?
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Transmigrations concert visuals remixes
For the video it turned out a bit too "hairy" compared to many of the still images (I believe because of the long landscape aspect ratio), but I ran out of time to fiddle. I used the Seed Travel extension for the animation and ChaiNNer with the 4x-Valar upscaler.
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How can we, as 3D designers/artists, integrate AI into our work?
While at it, check out ChaiNNer -> https://github.com/chaiNNer-org/chaiNNer
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What about game assets that target 1080p and you want 4K fidelity?
If you want to do more, there's chaiNNer and CupScale. You need to download an AI model to use those. There are a lot of anime/cartoon models out, so pick one that you like from here. (Note: Upscaly doesn't support these custom models.)
- Ai Interpolation (Quality Issue)
- What workflow is best for upscaling portraits taken by phone camera or DSLR?
- Question; for those of you with GPU’s whose VRAM is above 8Gb’s, how many photos in a batch can you make at one time?
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Are there any google collab scripts or other tools to upscale a bunch of images..?
For local there's cupscale and chainner
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.
cupscale - Image Upscaling GUI based on ESRGAN
waifu2x-caffe - waifu2xのCaffe版
ultimate-upscale-for-automatic1111
srmd-ncnn-vulkan - SRMD super resolution implemented with ncnn library
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
ESRGAN - ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
waifu2x-converter-cpp - Improved fork of Waifu2X C++ using OpenCL and OpenCV
stable-diffusion-webui - Stable Diffusion web UI
realsr-ncnn-vulkan - RealSR super resolution implemented with ncnn library
upscayl - 🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy.