collection-of-notebooks VS Colab-deep-daze

Compare collection-of-notebooks vs Colab-deep-daze and see what are their differences.

collection-of-notebooks

Сollection of various notebooks (by tg-bomze)
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Colab-deep-daze

Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network) (by styler00dollar)
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collection-of-notebooks Colab-deep-daze
1 2
103 1
- -
1.8 5.8
about 1 year ago over 3 years ago
Jupyter Notebook Python
- 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.

collection-of-notebooks

Posts with mentions or reviews of collection-of-notebooks. 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) Text2Image_v3 - Colaboratory by tg_bomze. Uses BigGAN (default) or Sigmoid to generate images. GitHub.

Colab-deep-daze

Posts with mentions or reviews of Colab-deep-daze. 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) 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.
  • "Big Sleep", a self-portrait by Big Sleep
    1 project | /r/bigsleep | 5 Apr 2021
    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?

When comparing collection-of-notebooks and Colab-deep-daze you can also consider the following projects:

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

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

stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

VectorAscent - Generate vector graphics from a textual caption

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

Colab-BigGANxCLIP

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

random-colabs

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

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.

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

collection-of-notebooks vs aphantasia Colab-deep-daze vs CLIP-Style-Transfer collection-of-notebooks vs stylized-neural-painting Colab-deep-daze vs VectorAscent collection-of-notebooks vs StyleCLIP Colab-deep-daze vs Colab-BigGANxCLIP collection-of-notebooks vs big-sleep Colab-deep-daze vs random-colabs collection-of-notebooks vs TediGAN Colab-deep-daze vs TediGAN collection-of-notebooks vs AuViMi Colab-deep-daze vs deep-daze