CLIP-Style-Transfer
Doing style transfer with linguistic features using OpenAI's CLIP. (by Zasder3)
DALLECLIP
By vipermu
CLIP-Style-Transfer | DALLECLIP | |
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2 | 1 | |
13 | 2 | |
- | - | |
0.0 | 0.0 | |
almost 3 years ago | about 3 years ago | |
Jupyter Notebook | Python | |
MIT 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.
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.
CLIP-Style-Transfer
Posts with mentions or reviews of CLIP-Style-Transfer.
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. 8, 2021) CLIP Style Transfer Test.ipynb - Colaboratory by Zasder3. Uses VGG19's conv4_1 to generate images. GitHub. Twitter reference.
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[Project] Learning Artistic Style From Language Features using CLIP
Code: https://github.com/Zasder3/CLIP-Style-Transfer
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 CLIP-Style-Transfer and DALLECLIP you can also consider the following projects:
Colab-deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network)
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
clipping-CLIP-to-GAN
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.
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.
VectorAscent - Generate vector graphics from a textual caption
Story2Hallucination
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
CLIP-Style-Transfer vs Colab-deep-daze
DALLECLIP vs stylegan2-clip-approach
CLIP-Style-Transfer vs StyleCLIP
DALLECLIP vs clipping-CLIP-to-GAN
CLIP-Style-Transfer vs StyleCLIP
DALLECLIP vs StyleCLIP
CLIP-Style-Transfer vs AuViMi
DALLECLIP vs VectorAscent
CLIP-Style-Transfer vs clipping-CLIP-to-GAN
DALLECLIP vs Story2Hallucination
CLIP-Style-Transfer vs aphantasia
DALLECLIP vs Colab-deep-daze