Colab-BigGANxCLIP VS random-colabs

Compare Colab-BigGANxCLIP vs random-colabs and see what are their differences.

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Colab-BigGANxCLIP random-colabs
1 1
2 14
- -
10.0 10.0
over 3 years ago about 3 years ago
Jupyter Notebook Jupyter Notebook
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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.

Colab-BigGANxCLIP

Posts with mentions or reviews of Colab-BigGANxCLIP. 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-BigGANxCLIP.ipynb - Colaboratory by styler00dollar. Uses BigGAN to generate images. "Just a more compressed/smaller version of that [advadnoun's] notebook". GitHub.

random-colabs

Posts with mentions or reviews of random-colabs. 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 Mar. 23, 2021) ClipMeshOptimize.ipynb - Colaboratory by EvgenyKashin. Uses PyTorch3D to generate images. GitHub.

What are some alternatives?

When comparing Colab-BigGANxCLIP and random-colabs you can also consider the following projects:

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

VectorAscent - Generate vector graphics from a textual caption

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

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

Story2Hallucination

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.