CLIP-Style-Transfer
AuViMi
CLIP-Style-Transfer | AuViMi | |
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2 | 1 | |
13 | 9 | |
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0.0 | 0.0 | |
almost 3 years ago | almost 3 years ago | |
Jupyter Notebook | Python | |
MIT License | GNU General Public License v3.0 only |
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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
AuViMi
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test
(Added Mar. 16, 2021) AuViMi by NotNANtoN. Uses BigGAN or SIREN to generate images.
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)
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
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
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
clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"
random-colabs