VectorAscent VS random-colabs

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

VectorAscent

Generate vector graphics from a textual caption (by ajayjain)
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random-colabs

By EvgenyKashin
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VectorAscent random-colabs
3 1
113 14
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0.0 10.0
almost 3 years ago about 3 years ago
Python 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.

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.

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 VectorAscent and random-colabs 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 - Using CLIP and StyleGAN to generate faces from prompts.

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

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

DALLECLIP

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

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

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

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