TediGAN
awesome-pretrained-stylegan2
TediGAN | awesome-pretrained-stylegan2 | |
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1 | 7 | |
259 | 1,247 | |
- | - | |
3.5 | 1.8 | |
over 2 years ago | almost 2 years ago | |
Python | Python | |
MIT License | - |
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TediGAN
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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 Feb. 23, 2021) TediGAN - Colaboratory by weihaox. Uses StyleGAN to generate images. GitHub. I got error "No pre-trained weights found for perceptual model!" when I used the Colab notebook, which was fixed when I made the change mentioned here. After this change, I still got an error in the cell that displays the images, but the results were in the remote file system. Use the "Files" icon on the left to browse the remote file system.
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
What are some alternatives?
dl-colab-notebooks - Try out deep learning models online on Google Colab
stylegan2-ada - StyleGAN2 with adaptive discriminator augmentation (ADA) - Official TensorFlow implementation
Awesome-Text-to-Image - (ෆ`꒳´ෆ) A Survey on Text-to-Image Generation/Synthesis.
stylegan2-pytorch - Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Awesome-CLIP - Awesome list for research on CLIP (Contrastive Language-Image Pre-Training).
stylegan2 - StyleGAN2 - Official TensorFlow Implementation
stylegan - StyleGAN - Official TensorFlow Implementation
ml-art-colabs - A list of Machine Learning Art Colabs
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
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