DALLECLIP
By vipermu
random-colabs
By EvgenyKashin
DALLECLIP | random-colabs | |
---|---|---|
1 | 1 | |
2 | 14 | |
- | - | |
0.0 | 10.0 | |
about 3 years ago | about 3 years ago | |
Python | Jupyter Notebook | |
- | - |
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.
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.
random-colabs
Posts with mentions or reviews of random-colabs.
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 Mar. 23, 2021) ClipMeshOptimize.ipynb - Colaboratory by EvgenyKashin. Uses PyTorch3D to generate images. GitHub.
What are some alternatives?
When comparing DALLECLIP and random-colabs you can also consider the following projects:
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
VectorAscent - Generate vector graphics from a textual caption
clipping-CLIP-to-GAN
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
Story2Hallucination
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.
DALLECLIP vs stylegan2-clip-approach
random-colabs vs VectorAscent
DALLECLIP vs clipping-CLIP-to-GAN
random-colabs vs Colab-deep-daze
DALLECLIP vs StyleCLIP
random-colabs vs StyleCLIP
DALLECLIP vs VectorAscent
random-colabs vs aphantasia
DALLECLIP vs Story2Hallucination
random-colabs vs stylegan2-clip-approach
DALLECLIP vs Colab-deep-daze
random-colabs vs AuViMi