CLIP-Style-Transfer
Doing style transfer with linguistic features using OpenAI's CLIP. (by Zasder3)
notebooks
Google Colab notebooks (by nagolinc)
| CLIP-Style-Transfer | notebooks | |
|---|---|---|
| 2 | 1 | |
| 13 | 41 | |
| - | - | |
| 0.0 | 5.2 | |
| almost 3 years ago | 6 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| 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
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
What are some alternatives?
When comparing CLIP-Style-Transfer and notebooks 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)
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
StyleCLIP - Official Implementation for "StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery" (ICCV 2021 Oral)
VectorAscent - Generate vector graphics from a textual caption
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.
clipping-CLIP-to-GAN
stylegan2-clip-approach - Navigating StyleGAN2 w latent space using CLIP
clip_biggan
CLIP-Style-Transfer vs Colab-deep-daze
notebooks vs aphantasia
CLIP-Style-Transfer vs StyleCLIP
notebooks vs VectorAscent
CLIP-Style-Transfer vs StyleCLIP
notebooks vs AuViMi
CLIP-Style-Transfer vs AuViMi
notebooks vs Colab-deep-daze
CLIP-Style-Transfer vs clipping-CLIP-to-GAN
notebooks vs stylegan2-clip-approach
CLIP-Style-Transfer vs aphantasia
notebooks vs clip_biggan