StyleCLIP vs CLIP-Style-Transfer

StyleCLIP

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

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CLIP-Style-Transfer

Doing style transfer with linguistic features using OpenAI's CLIP. (by Zasder3)

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StyleCLIP		CLIP-Style-Transfer
	Project
2	Mentions	2
124	Stars	13
-	Growth	-
0.0	Activity	0.0
over 2 years ago	Latest Commit	almost 3 years ago
Python	Language	Jupyter Notebook
MIT License	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.

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 :)

CLIP-Style-Transfer

Posts with mentions or reviews of CLIP-Style-Transfer. 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. 8, 2021) CLIP Style Transfer Test.ipynb - Colaboratory by Zasder3. Uses VGG19's conv4_1 to generate images. GitHub. Twitter reference.
[Project] Learning Artistic Style From Language Features using CLIP
1 project | /r/MachineLearning | 8 Mar 2021

Code: https://github.com/Zasder3/CLIP-Style-Transfer

What are some alternatives?

When comparing StyleCLIP and CLIP-Style-Transfer 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

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

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.

DALLECLIP

clipping-CLIP-to-GAN

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

clip-glass - Repository for "Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search"