StyleCLIP VS stylegan2-clip-approach

Compare StyleCLIP vs stylegan2-clip-approach and see what are their differences.

StyleCLIP

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

stylegan2-clip-approach

Navigating StyleGAN2 w latent space using CLIP (by l4rz)
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StyleCLIP stylegan2-clip-approach
2 1
124 55
- -
0.0 1.8
over 2 years ago over 2 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.
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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.

stylegan2-clip-approach

Posts with mentions or reviews of stylegan2-clip-approach. 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. 7, 2021) StyleGAN2-CLIP-approach.ipynb - Colaboratory by l4rz. Uses StyleGAN to generate images. GitHub. Twitter reference.

What are some alternatives?

When comparing StyleCLIP and stylegan2-clip-approach you can also consider the following projects:

Colab-BigGANxCLIP

DALLECLIP

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

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

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

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

Story2Hallucination

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