StyleCLIP vs clip_biggan

StyleCLIP

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

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clip_biggan

By eyaler

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StyleCLIP		clip_biggan
	Project
2	Mentions	1
124	Stars	15
-	Growth	-
0.0	Activity	2.6
over 2 years ago	Latest Commit	over 2 years ago
Python	Language	Jupyter Notebook
MIT License	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.

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21 projects | /r/u_Wiskkey | 3 Apr 2022

(Added Feb. 15, 2021) StyleCLIP by vipermu. Uses StyleGAN to generate images.
[P] Generate faces from prompts using CLIP and StyleGAN
1 project | /r/MachineLearning | 15 Feb 2021

I just uploaded the code for this article here and added some edits that were proposed in this thread :)

clip_biggan

Posts with mentions or reviews of clip_biggan. 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. 5, 2021) ClipBigGAN.ipynb - Colaboratory by eyaler. Uses BigGAN to generate images/videos. GitHub. Notebook copy by levindabhi.

What are some alternatives?

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

Colab-BigGANxCLIP

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

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

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

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 - Generate vector graphics from a textual caption

DALLECLIP

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

notebooks - Google Colab notebooks