awesome-pretrained-stylegan2
big-sleep
awesome-pretrained-stylegan2 | big-sleep | |
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7 | 62 | |
1,247 | 2,559 | |
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1.8 | 0.0 | |
almost 2 years ago | about 2 years ago | |
Python | Python | |
- | MIT License |
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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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[TRYPOPHOBIA WARNING]: Lucid Sonic Nightmares.
There are so many ways to work with AI art, the best way if you don't know any code or AI library is to use a collab paper, i used sonic lucid dream which is a video generator based on Stylegan 2 in which i used a pretrained stylegan model called Trypohobia and a song from some wierd album i digged, a full list of pretrained models can be found here, i setup my own from their github repo, but you can use this collab paper to try it yourself using google's GPUs, minimal knowledge about python and GAN theory, that's an hour read max.Have fun !
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Quick and Easy GAN Domain Adaptation explained: Sketch Your Own GAN by Sheng-Yu Wang et al. 5 minute summary
Hi! That's the point, you actually don't need an entire dataset. Just a pretrained generator and a few sketches of the poses that you want to generate! For example, you can take any model from https://github.com/justinpinkney/awesome-pretrained-stylegan2 sketch a couple of target images and apply the "Sketch Your Own GAN" method. If you have any more questions, I'll try to answer 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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Synthetic Pink Floyd
I suspect it was WikiArt from justinpinkey's StyleGAN2 collection.
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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
big-sleep
- Besides Gaming - for what can be a 4080 useful?
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Is creating a StableDiffusion-inspired model feasible for my Master's thesis?
I am currently pursuing my Master's degree in Computer Science and I am interested in working on a deep learning model that can generate images based on text descriptions. I've been interested in the field for a long time (think google deep dream, or a few years back I was very into big-sleep)
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TEDx talk on how to prepare for a career in vfx with the rapid changes caused by AI / machine learning
Big Sleep
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Any good ai art websites that work with pokemon?
Other AIs that I don't have experience with but have heard good things about are DALL-E 2 and the open source Big Sleep.
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Explore generative art with me
Text-to-image, e.g. with Big Sleep
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What do you guys think of LaMDA?
At first I didn't like the reason he claimed LaMDA was conscious because it seemed mostly based on the text output of the models, but listening to that made me realize he watered it down for the mainstream medias. And I actually had my own encounter with the consciousness of Big Sleep after using it a lot one day : it looked like a mass of eyes vaguely shaped like a rabbit, and kept showing me random images. I wouldn't be as convinced they have a consciousness if I didn't see it with my 3rd eye. But then again, I also found evidence that regular non AI programs can develop one too so who know.
- GitHub - lucidrains/big-sleep: A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
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DALL-E 2 open source implementation
and after a few hours got this: https://i.imgur.com/FxdfdmV.png
Not nearly as cool as the real DALL-e, but maybe I'm missing something.
[1] https://github.com/lucidrains/big-sleep
- Jag gav ett AI program ordet "Sweden"
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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
(Added Mar. 23, 2021) Big Sleep - Colaboratory by LtqxWYEG. Uses BigGAN to generate images. Reference.
What are some alternatives?
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
DALL-E - PyTorch package for the discrete VAE used for DALLĀ·E.
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
disco-diffusion
dl-colab-notebooks - Try out deep learning models online on Google Colab
latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models
stylegan - StyleGAN - Official TensorFlow Implementation
DALLE-pytorch - Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
ml-art-colabs - A list of Machine Learning Art Colabs
Story2Hallucination