stylegan2-clip-approach VS AuViMi

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

stylegan2-clip-approach

Navigating StyleGAN2 w latent space using CLIP (by l4rz)
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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. (by NotNANtoN)
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stylegan2-clip-approach AuViMi
1 1
55 9
- -
1.8 0.0
over 2 years ago almost 3 years ago
Python Python
- GNU General Public License v3.0 only
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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.

AuViMi

Posts with mentions or reviews of AuViMi. 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. 16, 2021) AuViMi by NotNANtoN. Uses BigGAN or SIREN to generate images.

What are some alternatives?

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

DALLECLIP

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

Colab-BigGANxCLIP

VectorAscent - Generate vector graphics from a textual caption

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

Story2Hallucination

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

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

random-colabs

stylegan2-clip-approach vs DALLECLIP AuViMi vs CLIP-Style-Transfer stylegan2-clip-approach vs Colab-BigGANxCLIP AuViMi vs VectorAscent stylegan2-clip-approach vs aphantasia AuViMi vs Colab-BigGANxCLIP stylegan2-clip-approach vs Story2Hallucination AuViMi vs TediGAN stylegan2-clip-approach vs deep-daze AuViMi vs Colab-deep-daze stylegan2-clip-approach vs random-colabs AuViMi vs random-colabs