DALLECLIP
Colab-deep-daze
DALLECLIP | Colab-deep-daze | |
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1 | 2 | |
2 | 1 | |
- | - | |
0.0 | 5.8 | |
about 3 years ago | over 3 years ago | |
Python | Python | |
- | MIT License |
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DALLECLIP
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test
(Added Feb. 28, 2021) DALLECLIP by vipermu. Uses DALL-E's discrete VAE (variational autoencoder) component to generate images. 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?
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
CLIP-Style-Transfer - Doing style transfer with linguistic features using OpenAI's CLIP.
clipping-CLIP-to-GAN
VectorAscent - Generate vector graphics from a textual caption
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
Colab-BigGANxCLIP
random-colabs
Story2Hallucination
TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"
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