TediGAN
StyleCLIP
TediGAN | StyleCLIP | |
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1 | 2 | |
361 | 124 | |
0.0% | - | |
0.0 | 0.0 | |
about 1 year ago | over 2 years ago | |
Python | Python | |
MIT License | MIT License |
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TediGAN
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test
(Added Feb. 23, 2021) TediGAN - Colaboratory by weihaox. Uses StyleGAN to generate images. GitHub. I got error "No pre-trained weights found for perceptual model!" when I used the Colab notebook, which was fixed when I made the change mentioned here. After this change, I still got an error in the cell that displays the images, but the results were in the remote file system. Use the "Files" icon on the left to browse the remote file system.
StyleCLIP
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test
(Added Feb. 15, 2021) StyleCLIP by vipermu. Uses StyleGAN to generate images.
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[P] Generate faces from prompts using CLIP and StyleGAN
I just uploaded the code for this article here and added some edits that were proposed in this thread :)
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)
Colab-BigGANxCLIP
VectorAscent - Generate vector graphics from a textual caption
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
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-Style-Transfer - Doing style transfer with linguistic features using OpenAI's CLIP.
Story2Hallucination
DALLECLIP
clipping-CLIP-to-GAN
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"