ESRGAN
GFPGAN
ESRGAN | GFPGAN | |
---|---|---|
21 | 93 | |
5,707 | 34,637 | |
- | 0.9% | |
0.0 | 2.7 | |
over 1 year ago | about 1 month ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
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Ambriel Motion Graphics Experiment
I use ESRGAN: https://github.com/xinntao/ESRGAN
- Some architectural stuff I’ve been working on.
- children playing in the rain at night illuminated by lanterns, reflective puddles, fine detail, by Leonid Afremov
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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.
GFPGAN
- Ask HN: What is the state of the art in AI photo enhancement?
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Open source software has gotten a lot better at having smooth swaps. Below is what i got.
Mainly as the base model. https://insightface.ai/ There was some post processing done to further improve quality. https://github.com/TencentARC/GFPGAN
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AI generator for photos of past people?
Check out GFOGAN https://github.com/TencentARC/GFPGAN
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A little bedtime story by the AI nanny | Stable Diffusion + GPT = a match made in latent space
It's not animating really, just lip sync and face restoration, here I used: https://github.com/Rudrabha/Wav2Lip and https://github.com/TencentARC/GFPGAN respectively.
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Tools For AI Animation and Filmmaking , Community Rules, ect. (**FAQ**)
Real-ESRGAN/GFPGAN https://github.com/xinntao/Real-ESRGAN (Real-ESRAN - Upscale images, facial restoration with GFPGAN setting) https://github.com/TencentARC/GFPGAN (GFPGAN - Facial restoration and Upscale) -------MATTE AND COMPOSITE--------
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what should i do
2.install it using pip install git+https://github.com/TencentARC/GFPGAN.git@8d2447a2d918f8eba5a4a01463fd48e45126a379
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hey guys, need hsome help
Cloning https://github.com/TencentARC/GFPGAN.git (to revision 8d2447a2d918f8eba5a4a01463fd48e45126a379) to /private/var/folders/qw/_kkcnr2s59n3kplbwxsk_k2c0000gn/T/pip-req-build-bgantjtl
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Need help, keep getting [Errno 2] No such file or directory when running batch file.
All I have done is add Stable Diffusion Checkpoints and the GFPGAN checkpoints to C:\Program Files (x86)\stable-diffusion-webui-master\stable-diffusion-webui-master\models\Stable-diffusion.
- Free AI-Powered Photo Restoration Service to Restore Photos
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Sorry I'm not a Coder. How do you use GPFGAN with Anaconda Stable Diffusion?
Where you would find its commands here.
What are some alternatives?
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
CodeFormer - [NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer
realsr-ncnn-vulkan - RealSR super resolution implemented with ncnn 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.
GPEN
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
DFDNet - Blind Face Restoration via Deep Multi-scale Component Dictionaries (ECCV 2020)
waifu2x-ncnn-vulkan - waifu2x converter ncnn version, runs fast on intel / amd / nvidia / apple-silicon GPU with vulkan
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui]
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
stable-diffusion-webui - Stable Diffusion web UI