waifu2x
taming-transformers
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waifu2x | taming-transformers | |
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403 | 35 | |
27,147 | 5,341 | |
- | 3.7% | |
0.0 | 0.0 | |
12 months ago | 22 days ago | |
Lua | Jupyter Notebook | |
MIT License | MIT License |
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
- To purchase all your Mari merch [twitter: イスカリオテのマリア]
- No libraries, no frameworks. With just Javascript and a HTML Canvas I finally finished my game. Source code in comments.
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Piracy's the Way
https://github.com/nagadomi/waifu2x for mange/anime
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Anyone having a hq wallpaper for this image?
I have used waifu2x in the past. I'm gonna check this out and see if it works better.
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The dangers behind image resizing
Waifu2x - I've used the library to upscale both old photos and videos with enough success to be pleased with the results.
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Ayatar: Way of the Hydro - General Question and Discussion Thread
Here: https://waifu2x.udp.jp/
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Upscayl - Free and Open Source AI Image Upscaler for Linux, Mac and Windows
GUI is nice, but from having a play around I feel that Waifu2x gives me more realistic upscaled photos if you're prepared to play with the settings a bit. This is a better click & go option though.
Well if this is updated and maintained I'm fine with the alternative offered here.
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Best AI Up Scale Program
I use Waifu2x lol https://github.com/nagadomi/waifu2x
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Stable Diffusion on AMD RDNA™ 3 Architecture
Waifu2x in particular, is one of the oldest and still one of the best AI upscalers for anime and drawings in general, and it has always heavily favored Nvidia. The most known port was not the original Waifu2x by nagadomi, but Waifu2x-caffe, which was much more feature rich, and supported CUDA and cuDNN, both Nvidia exclusive. There was an OpenCL alternative which worked on AMD, but it was only as fast as Waifu2x-caffe under CUDA, but with cuDNN it still blew the OpenCL out of the water.
taming-transformers
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Automatic1111 for Intel Arc (A380 Tested)
taming-transformers
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Why is ChatGPT and other large language models not feasible to be used locally in consumer grade hardware while Stable Diffusion is?
See https://arxiv.org/abs/2012.09841 for prior work. SD authors swap out the Transformer and language modelling objective with a UNet diffusion objective. In general, the more inductive bias your model has, the more efficient it can be. ChatGPT runs purely on a Transformer architecture, which has far fewer priors than a CNN and requires far more parameters as a result. This may not be the case in the future.
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AI Is Coming For Commercial Art Jobs. Can It Be Stopped? (Greg Rutkowski quoted)
I say this to everyone... Even if SD and the model is legit and legal. Do not go around commercialising it's outputs or claiming ownership over them... and if you do the properly cite the source of the model and system along with it. In https://github.com/CompVis/stable-diffusion, https://github.com/CompVis/taming-transformers and https://huggingface.co/CompVis/stable-diffusion-v1-4 there are citiations provided for you to use for a reason. I recommend you to use them.
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Stable-diffusion in Nix
# Copy models as described in README cp ~/Downloads/model.ckpt . cp ~/Downloads/GFPGANv1.3.pth . # Clone other repos as mentioned in README mkdir repositories git clone https://github.com/CompVis/stable-diffusion.git repositories/stable-diffusion git clone https://github.com/CompVis/taming-transformers.git repositories/taming-transformers git clone https://github.com/sczhou/CodeFormer.git repositories/CodeFormer git clone https://github.com/salesforce/BLIP.git repositories/BLIP export NIXPKGS_ALLOW_UNFREE=1 nix-shell default.nix pip install torch --extra-index-url https://download.pytorch.org/whl/cu113 # Also from linux instructions. Can probably be added to default.nix python webui.py
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How do I run Stable Diffusion and sharing FAQs
Pip subprocess error: ERROR: Error [WinError 2] The system cannot find the file specified while executing command git clone -q https://github.com/CompVis/taming-transformers.git 'C:\stable-diffusion\stable-diffusion-main\src\taming-transformers' ERROR: Cannot find command 'git' - do you have 'git' installed and in your PATH?
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I made a share pic for the img2img results that have surfaced so far
bash pip install -e git+https://github.com/CompVis/taming-transformers.git@master#egg=taming-transformers pip install -e git+https://github.com/openai/CLIP.git@main#egg=clip pip install -e .
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Have image generation project idea, need tool pointers though
You can have a look at style transfer or the recent advances in GANs (VQGAN for example). The approach you would want to try is called fine-tuning, meaning retraining an already pretraines model on your data. In terms of programming framework I guess pytorch would be the best pick. Style transfer: https://pytorch.org/tutorials/advanced/neural_style_tutorial.html VQGAN: https://github.com/CompVis/taming-transformers
- Ask HN: Computer Vision Project Ideas?
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RED CLIFFS OF EUPHORIA - Another new drop in the HOT new Zoom Morph Collection - 1 of 1 - on SALE - Check it out!
MIT is a commercial license. The reference implementations of VQGAN and CLIP are both MIT licensed.
- I fed a bunch of unique item names to an AI and these are the videos it generated.
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.
Anime4K - A High-Quality Real Time Upscaler for Anime Video
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Magpie - An all-purpose window upscaler for Windows 10/11.
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
cupscale - Image Upscaling GUI based on ESRGAN
upscayl - 🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy.
stable-diffusion - This version of CompVis/stable-diffusion features an interactive command-line script that combines text2img and img2img functionality in a "dream bot" style interface, a WebGUI, and multiple features and other enhancements. [Moved to: https://github.com/invoke-ai/InvokeAI]
image-super-resolution - 🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
FidelityFX-CLI - FidelityFX CLI
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.