StyleCLIP VS VectorAscent

Compare StyleCLIP vs VectorAscent and see what are their differences.

StyleCLIP

Using CLIP and StyleGAN to generate faces from prompts. (by vipermu)

VectorAscent

Generate vector graphics from a textual caption (by ajayjain)
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StyleCLIP VectorAscent
2 3
124 113
- -
0.0 0.0
over 2 years ago almost 3 years ago
Python 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.

StyleCLIP

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

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.

What are some alternatives?

When comparing StyleCLIP and VectorAscent you can also consider the following projects:

Colab-BigGANxCLIP

Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)

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

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

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

random-colabs

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

DALLECLIP

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

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.