CLIP-Style-Transfer
Colab-deep-daze
CLIP-Style-Transfer | Colab-deep-daze | |
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2 | 2 | |
13 | 1 | |
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0.0 | 5.8 | |
almost 3 years ago | over 3 years ago | |
Jupyter Notebook | Python | |
MIT License | MIT License |
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CLIP-Style-Transfer
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test
(Added Mar. 8, 2021) CLIP Style Transfer Test.ipynb - Colaboratory by Zasder3. Uses VGG19's conv4_1 to generate images. GitHub. Twitter reference.
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[Project] Learning Artistic Style From Language Features using CLIP
Code: https://github.com/Zasder3/CLIP-Style-Transfer
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?
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
VectorAscent - Generate vector graphics from a textual caption
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
Colab-BigGANxCLIP
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
clipping-CLIP-to-GAN
TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
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
clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun