VectorAscent
notebooks
VectorAscent | notebooks | |
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3 | 1 | |
113 | 41 | |
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0.0 | 5.2 | |
almost 3 years ago | 6 months 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
notebooks
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test
(Added Feb. 5, 2021) CLIP + TADNE (pytorch) v2 - Colaboratory_v2.ipynb) by nagolinc. Uses TADNE ("This Anime Does Not Exist") to generate images. Instructions and examples. GitHub. Notebook copy_v2.ipynb) by levindabhi
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
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.
random-colabs
TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
DALLECLIP
clip_biggan
clipping-CLIP-to-GAN