TediGAN
collection-of-notebooks
TediGAN | collection-of-notebooks | |
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1 | 1 | |
361 | 103 | |
0.0% | - | |
0.0 | 1.8 | |
about 1 year ago | about 1 year ago | |
Python | Jupyter Notebook | |
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.
collection-of-notebooks
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test
(Added Feb. 5, 2021) Text2Image_v3 - Colaboratory by tg_bomze. Uses BigGAN (default) or Sigmoid to generate images. GitHub.
What are some alternatives?
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
VectorAscent - Generate vector graphics from a textual caption
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
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.
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
Story2Hallucination
clipping-CLIP-to-GAN