DALLECLIP VS collection-of-notebooks

Compare DALLECLIP vs collection-of-notebooks and see what are their differences.

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DALLECLIP collection-of-notebooks
1 1
2 103
- -
0.0 1.8
about 3 years ago about 1 year ago
Python Jupyter Notebook
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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.

DALLECLIP

Posts with mentions or reviews of DALLECLIP. 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. 28, 2021) DALLECLIP by vipermu. Uses DALL-E's discrete VAE (variational autoencoder) component to generate images. Twitter reference.

collection-of-notebooks

Posts with mentions or reviews of collection-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) Text2Image_v3 - Colaboratory by tg_bomze. Uses BigGAN (default) or Sigmoid to generate images. GitHub.

What are some alternatives?

When comparing DALLECLIP and collection-of-notebooks you can also consider the following projects:

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

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

clipping-CLIP-to-GAN

stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.

StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.

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

VectorAscent - Generate vector graphics from a textual caption

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

Story2Hallucination

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