collection-of-notebooks vs DALLECLIP

collection-of-notebooks

Сollection of various notebooks (by tg-bomze)

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DALLECLIP

By vipermu

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collection-of-notebooks		DALLECLIP
	Project
1	Mentions	1
103	Stars	2
-	Growth	-
1.8	Activity	0.0
about 1 year ago	Latest Commit	about 3 years ago
Jupyter Notebook	Language	Python
-	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.

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.

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.

What are some alternatives?

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

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

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

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

clipping-CLIP-to-GAN

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

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

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

VectorAscent - Generate vector graphics from a textual caption

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

Story2Hallucination

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