VectorAscent VS stylegan2-clip-approach

Compare VectorAscent vs stylegan2-clip-approach and see what are their differences.

VectorAscent

Generate vector graphics from a textual caption (by ajayjain)

stylegan2-clip-approach

Navigating StyleGAN2 w latent space using CLIP (by l4rz)
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VectorAscent stylegan2-clip-approach
3 1
113 55
- -
0.0 1.8
almost 3 years ago over 2 years ago
Python Python
- -
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.

stylegan2-clip-approach

Posts with mentions or reviews of stylegan2-clip-approach. 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. 7, 2021) StyleGAN2-CLIP-approach.ipynb - Colaboratory by l4rz. Uses StyleGAN to generate images. GitHub. Twitter reference.

What are some alternatives?

When comparing VectorAscent and stylegan2-clip-approach 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)

DALLECLIP

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

Colab-BigGANxCLIP

random-colabs

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

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.

Story2Hallucination

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