awesome-pretrained-stylegan2
stylegan
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awesome-pretrained-stylegan2 | stylegan | |
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7 | 31 | |
1,238 | 13,898 | |
- | 0.4% | |
1.8 | 0.0 | |
over 1 year ago | 11 months ago | |
Python | Python | |
- | GNU General Public License v3.0 or later |
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awesome-pretrained-stylegan2
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List of sites/programs/projects that use OpenAI's CLIP neural network for steering image/video creation to match a text description
Many of the items on the first list below are Google Colaboratory ("Colab") notebooks, which run in a web browser; for more info, see the Google Colab FAQ. Some Colab notebooks create output files in the remote computer's file system; these files can be accessed by clicking the Files icon in the left part of the Colab window. For the BigGAN image generators on the first list that allow the initial class (i.e. type of object) to be specified, here is a list of the 1,000 BigGAN classes. For the StyleGAN image generators on the first list that allow the specification of the StyleGAN2 .pkl file, here is a list of them.
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Pre-trained StyleGAN2 model
For some more good pretrained StyleGAN2 weights: https://github.com/justinpinkney/awesome-pretrained-stylegan2 (unfortunately some of the download links are dead though)
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[P] Stylegan on ~5k images
I found this page after a quick google search https://github.com/justinpinkney/awesome-pretrained-stylegan2 but if this one doesn't work there are others. You can also just use StyleGan (v1) and have great results, I'm not sure that the v2 is much better.
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How to make a pretrained StyleGan model?
like these models: https://github.com/justinpinkney/awesome-pretrained-stylegan2
stylegan
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StyleGAN-T Nvidia, 30x Faster than SD?
Umm, StyleGAN was the first decent image generation model, and it was producing great images from random seeds 5 years ago. Now, that's with the obvious caveat that each model was trained to produce one specific type of image and it helped immensely if the training images were all aligned the same. Diffusion models are certainly the trendy current architecture for image generation, but AFAIK there's no fundamental theoretical limitation to the output quality of any architecture except the general rule that more parameters is better.
- The Concept Art Association updates their AI-restricting gofundme campaign, revealing their lack of AI understanding & nefarious plans! [detailed breakdown]
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[1812.04948] A Style-Based Generator Architecture for Generative Adversarial Networks
PDF link Landing page
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Innovative Technology NVIDIA StyleGAN2
Code: https://github.com/NVlabs/stylegan
https://arxiv.org/abs/1812.04948 (A Style-Based Generator Architecture for Generative Adversarial Networks)
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Technoalchemy - a short spiritual book combining GPT-3 text and art made with StyleGAN + other ML techniques
Check out the PDF here I've been calling this "the first spiritual guidebook written by an AI". The text was written almost entirely with GPT-3, minus the couple of paragraphs I wrote as prompt. The art was made with various tools - for instance, the cover was made in part with Aphantasia (CLIP+FFT), the title page is an old public domain photo colorized with DeOldify, the faces made with StyleGAN, both standalone and via Artbreeder. Let me know what you think - I have a couple bigger projects building off of the techniques I used, and I would appreciate any feedback!
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[Hobby Scuffles] Week of March 21, 2021
stylegan this is the tech behind all those "this ___ does not exist" sites. it's actually surprisingly easy to use if you know how to use the terminal (and preferably a little bit of python).
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NEW PYTHON PACKAGE: Sync GAN Art to Music with "Lucid Sonic Dreams"!
Clone stylegan
What are some alternatives?
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
pix2pix - Image-to-image translation with conditional adversarial nets
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
lucid-sonic-dreams
DeOldify - A Deep Learning based project for colorizing and restoring old images (and video!)
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
ffhq-dataset - Flickr-Faces-HQ Dataset (FFHQ)
dl-colab-notebooks - Try out deep learning models online on Google Colab
ml-art-colabs - A list of Machine Learning Art Colabs
Awesome-Text-to-Image - (ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.