VectorAscent
collection-of-notebooks
| VectorAscent | collection-of-notebooks | |
|---|---|---|
| 3 | 1 | |
| 113 | 103 | |
| - | - | |
| 0.0 | 1.8 | |
| almost 3 years ago | about 1 year ago | |
| Python | Jupyter Notebook | |
| - | - |
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VectorAscent
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test
(Added Mar. 9, 2021) VectorAscent by ajayjain. Uses diffvg to generate images.
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Idea for developers: Use CLIP to steer a differentiable vector graphics generator
For future reference the actual code is here: https://github.com/ajayjain/VectorAscent
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?
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
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
stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
random-colabs
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
DALLECLIP
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.