stylegan2-clip-approach
Colab-deep-daze
stylegan2-clip-approach | Colab-deep-daze | |
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1 | 2 | |
55 | 1 | |
- | - | |
1.8 | 5.8 | |
over 2 years ago | over 3 years ago | |
Python | Python | |
- | MIT License |
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stylegan2-clip-approach
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test
(Added Mar. 7, 2021) StyleGAN2-CLIP-approach.ipynb - Colaboratory by l4rz. Uses StyleGAN to generate images. GitHub. Twitter reference.
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?
DALLECLIP
CLIP-Style-Transfer - Doing style transfer with linguistic features using OpenAI's CLIP.
Colab-BigGANxCLIP
VectorAscent - Generate vector graphics from a textual caption
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
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
Story2Hallucination
TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
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