taming-transformers
waifu2x
taming-transformers | waifu2x | |
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35 | 403 | |
5,425 | 27,183 | |
2.5% | - | |
0.0 | 0.0 | |
about 1 month ago | about 1 year ago | |
Jupyter Notebook | Lua | |
MIT License | MIT License |
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taming-transformers
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Automatic1111 for Intel Arc (A380 Tested)
taming-transformers
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[R] My simple Transformer audio encoder gives the same output for each timestep after the encoder
What’s your goal exactly? Are you trying to make a transformer based auto encoder of audio spectrograms? If so you should either start with either a proven ViT-based AE implementation (either a VAE or a VQ-GAN). But I don’t see why you necessarily need a ViT for this, if you’re working at a much smaller scale a convolutional architecture is plenty and much more amenable to beginners. See https://github.com/CompVis/taming-transformers for an example of a convolutional VQ GAN.
- Trying to make VqGAN+CLIP work again
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im so lost
Command: "git" clone "https://github.com/CompVis/taming-transformers.git" "C:\AI\stable-diffusion-webui\repositories\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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1 or 2 Errors Installing Automatic1111 on Mac M1
There is definitely a cmd but I can't tell you. It's on GitHub https://github.com/CompVis/taming-transformers
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Trying to Install InvokeAI and VectorQuantizer2 and taming modules but get error “zsh: parse error near `)’” How to fix? (MAC M1)
I wasn’t able to find a “taming” folder within the site-packages folder so I decided to look up how to get VectorQuantizer2 and taming.modules.vqvae.quantize and found this link: https://github.com/CompVis/taming-transformers/blob/master/taming/modules/vqvae/quantize.py I copied the raw contents and pasted that to the terminal and I got this error: “zsh: parse error near `)’” I’m not sure how to fix this so I can install VectorQuantizer2 so I can use InvokeAI. How do I fix this?
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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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[D] Where does VQ-GAN get its randomness from?
Code for https://arxiv.org/abs/2012.09841 found: https://compvis.github.io/taming-transformers/
waifu2x
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Mac Preview Combine PDFs Different size
You can export the large PDF as a JPG then resize it using Tools > Adjust Size. You could also use https://waifu2x.udp.jp to "up-size" the smaller file to give it a bit more resolution. You can set up an Automator script to resize multiple images.
- To purchase all your Mari merch [twitter: イスカリオテのマリア]
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Hortus de Escapisimo Spoiler
Just use waifu2x to make it bigger
- Make large wallpaper images less blurry?
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Workshop
Crop it yourself with Gimp (free) or Photoshop (paid), then upscale it with something like Waifu2x.
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The Goddess Squad (Goddess Squad art by ジぞくGGOc)
You can use https://waifu2x.udp.jp/ AI to enhance 2k or 4k. I made a 2k wallpaper.
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Atelier Ryza Animation Sound Preview #1 (From Livestream)
You can try screenshot it and go to waifu2x to make it bigger
- Anyone have High quality version of this?
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Super Auto Beach Fun!
waifu2x
- Bliksem boven de tulpenvelden in Flevoland afgelopen Zaterdagavond
What are some alternatives?
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]
video2x - A lossless video/GIF/image upscaler achieved with waifu2x, Anime4K, SRMD and RealSR. Started in Hack the Valley II, 2018.
VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
Anime4K - A High-Quality Real Time Upscaler for Anime Video
stable-diffusion - Optimized Stable Diffusion modified to run on lower GPU VRAM
Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/sd-webui/stable-diffusion-webui]
Magpie - An all-purpose window upscaler for Windows 10/11.
stable-diffusion-webui - Stable Diffusion web UI [Moved to: https://github.com/Sygil-Dev/sygil-webui]
stable-diffusion - A latent text-to-image diffusion model
cupscale - Image Upscaling GUI based on ESRGAN