DALLECLIP
clipping-CLIP-to-GAN
DALLECLIP | clipping-CLIP-to-GAN | |
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1 | 1 | |
2 | 40 | |
- | - | |
0.0 | 10.0 | |
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.
clipping-CLIP-to-GAN
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test
(Added Feb. 24, 2021) clipping-CLIP-to-GAN by cloneofsimo. Uses FastGAN to generate images.
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.
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
VectorAscent - Generate vector graphics from a textual caption
Story2Hallucination
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
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.
clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"