VectorAscent VS AuViMi

Compare VectorAscent vs AuViMi and see what are their differences.

VectorAscent

Generate vector graphics from a textual caption (by ajayjain)
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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. (by NotNANtoN)
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VectorAscent AuViMi
3 1
113 9
- -
0.0 0.0
almost 3 years ago almost 3 years ago
Python Python
- GNU General Public License v3.0 only
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.

VectorAscent

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

AuViMi

Posts with mentions or reviews of AuViMi. 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. 16, 2021) AuViMi by NotNANtoN. Uses BigGAN or SIREN to generate images.

What are some alternatives?

When comparing VectorAscent and AuViMi 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)

stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP

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

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

random-colabs

Colab-BigGANxCLIP

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

DALLECLIP

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

VectorAscent vs Colab-deep-daze AuViMi vs stylegan2-clip-approach VectorAscent vs big-sleep AuViMi vs CLIP-Style-Transfer VectorAscent vs random-colabs AuViMi vs Colab-BigGANxCLIP VectorAscent vs TediGAN AuViMi vs TediGAN VectorAscent vs DALLECLIP AuViMi vs Colab-deep-daze VectorAscent vs deep-daze AuViMi vs random-colabs