random-colabs
| clip_biggan | random-colabs | |
|---|---|---|
| 1 | 1 | |
| 15 | 14 | |
| - | - | |
| 2.6 | 10.0 | |
| over 2 years ago | about 3 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
clip_biggan
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test
(Added Feb. 5, 2021) ClipBigGAN.ipynb - Colaboratory by eyaler. Uses BigGAN to generate images/videos. GitHub. Notebook copy by levindabhi.
random-colabs
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test
(Added Mar. 23, 2021) ClipMeshOptimize.ipynb - Colaboratory by EvgenyKashin. Uses PyTorch3D to generate images. GitHub.
What are some alternatives?
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
VectorAscent - Generate vector graphics from a textual caption
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
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
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
notebooks - Google Colab notebooks
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.