CLIP-Style-Transfer VS clip_biggan

Compare CLIP-Style-Transfer vs clip_biggan and see what are their differences.

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CLIP-Style-Transfer clip_biggan
2 1
13 15
- -
0.0 2.6
almost 3 years ago over 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

CLIP-Style-Transfer

Posts with mentions or reviews of CLIP-Style-Transfer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-03.

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.

What are some alternatives?

When comparing CLIP-Style-Transfer and clip_biggan you can also consider the following projects:

Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)

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

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

StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.

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.

VectorAscent - Generate vector graphics from a textual caption

clipping-CLIP-to-GAN

aphantasia - CLIP + FFT/DWT/RGB = text to image/video

notebooks - Google Colab notebooks