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.
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.
notebooks
Posts with mentions or reviews 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
(Added Feb. 5, 2021) CLIP + TADNE (pytorch) v2 - Colaboratory_v2.ipynb) by nagolinc. Uses TADNE ("This Anime Does Not Exist") to generate images. Instructions and examples. GitHub. Notebook copy_v2.ipynb) by levindabhi
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
(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 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
VectorAscent - Generate vector graphics from a textual caption
clipping-CLIP-to-GAN
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.
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
Story2Hallucination
clip_biggan
notebooks vs aphantasia
DALLECLIP vs stylegan2-clip-approach
notebooks vs VectorAscent
DALLECLIP vs clipping-CLIP-to-GAN
notebooks vs AuViMi
DALLECLIP vs StyleCLIP
notebooks vs Colab-deep-daze
DALLECLIP vs VectorAscent
notebooks vs stylegan2-clip-approach
DALLECLIP vs Story2Hallucination
notebooks vs clip_biggan
DALLECLIP vs Colab-deep-daze