clip_biggan VS clipping-CLIP-to-GAN

Compare clip_biggan vs clipping-CLIP-to-GAN and see what are their differences.

clip_biggan

By eyaler
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clipping-CLIP-to-GAN

By cloneofsimo
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clip_biggan clipping-CLIP-to-GAN
1 1
15 40
- -
2.6 10.0
over 2 years ago over 3 years ago
Jupyter Notebook Python
- MIT License
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clip_biggan

Posts with mentions or reviews of clip_biggan. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.
  • test
    21 projects | /r/u_Wiskkey | 3 Apr 2022
    (Added Feb. 5, 2021) ClipBigGAN.ipynb - Colaboratory by eyaler. Uses BigGAN to generate images/videos. GitHub. Notebook copy by levindabhi.

clipping-CLIP-to-GAN

Posts with mentions or reviews of clipping-CLIP-to-GAN. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.
  • test
    21 projects | /r/u_Wiskkey | 3 Apr 2022
    (Added Feb. 24, 2021) clipping-CLIP-to-GAN by cloneofsimo. Uses FastGAN to generate images.

What are some alternatives?

When comparing clip_biggan and clipping-CLIP-to-GAN you can also consider the following projects:

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

DALLECLIP

StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)

CLIP-Style-Transfer - Doing style transfer with linguistic features using OpenAI's CLIP.

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

TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

VectorAscent - Generate vector graphics from a textual caption

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

notebooks - Google Colab notebooks

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_biggan vs big-sleep clipping-CLIP-to-GAN vs DALLECLIP clip_biggan vs StyleCLIP clipping-CLIP-to-GAN vs CLIP-Style-Transfer clip_biggan vs deep-daze clipping-CLIP-to-GAN vs TediGAN clip_biggan vs VectorAscent clipping-CLIP-to-GAN vs VectorAscent clip_biggan vs Colab-deep-daze clipping-CLIP-to-GAN vs stylegan2-clip-approach clip_biggan vs notebooks clipping-CLIP-to-GAN vs AuViMi