stylegan2-clip-approach
DALLECLIP
| stylegan2-clip-approach | DALLECLIP | |
|---|---|---|
| 1 | 1 | |
| 55 | 2 | |
| - | - | |
| 1.8 | 0.0 | |
| over 2 years ago | about 3 years ago | |
| Python | Python | |
| - | - |
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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.
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.
What are some alternatives?
Colab-BigGANxCLIP
clipping-CLIP-to-GAN
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
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.
VectorAscent - Generate vector graphics from a textual caption
Story2Hallucination
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
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
random-colabs
clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"