stylegan2-clip-approach
CLIP-Style-Transfer
stylegan2-clip-approach | CLIP-Style-Transfer | |
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1 | 2 | |
55 | 13 | |
- | - | |
1.8 | 0.0 | |
over 2 years ago | about 3 years ago | |
Python | Jupyter Notebook | |
- | MIT License |
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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.
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
What are some alternatives?
DALLECLIP
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
Colab-BigGANxCLIP
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
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.
Story2Hallucination
clipping-CLIP-to-GAN
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