TediGAN
Colab-deep-daze
TediGAN | Colab-deep-daze | |
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1 | 2 | |
361 | 1 | |
0.0% | - | |
0.0 | 5.8 | |
about 1 year ago | over 3 years ago | |
Python | Python | |
MIT License | MIT License |
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TediGAN
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test
(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.
Colab-deep-daze
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test
(Added Feb. 24, 2021) Colab-deep-daze - Colaboratory by styler00dollar. Uses SIREN to generate images. I did not get this notebook to work, but your results may vary. GitHub.
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"Big Sleep", a self-portrait by Big Sleep
That notebook didn't work for me either when I added it to the list on Feb. 24. The notebook file Colab-Deep-Daze.ipynb hasn't changed in about 3 months.
What are some alternatives?
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
CLIP-Style-Transfer - Doing style transfer with linguistic features using OpenAI's CLIP.
VectorAscent - Generate vector graphics from a textual caption
AuViMi - AuViMi stands for audio-visual mirror. The idea is to have CLIP generate its interpretation of what your webcam sees, combined with the words thare are spoken.
Colab-BigGANxCLIP
Story2Hallucination
random-colabs
clipping-CLIP-to-GAN
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
stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
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