notebooks vs StyleCLIP

notebooks

Google Colab notebooks (by nagolinc)

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StyleCLIP

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

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notebooks		StyleCLIP
	Project
1	Mentions	2
41	Stars	125
-	Growth	-
5.2	Activity	0.0
6 months ago	Latest Commit	almost 3 years ago
Jupyter Notebook	Language	Python
-	License	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.

notebooks

Posts with mentions or reviews of notebooks. 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) CLIP + TADNE (pytorch) v2 - Colaboratory_v2.ipynb) by nagolinc. Uses TADNE ("This Anime Does Not Exist") to generate images. Instructions and examples. GitHub. Notebook copy_v2.ipynb) by levindabhi

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.

test
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 :)

What are some alternatives?

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

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

Colab-BigGANxCLIP

VectorAscent - Generate vector graphics from a textual caption

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.

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

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

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

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

DALLECLIP

clip_biggan

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