clip-glass
Colab-deep-daze
| clip-glass | Colab-deep-daze | |
|---|---|---|
| 13 | 2 | |
| 177 | 1 | |
| - | - | |
| 0.0 | 5.8 | |
| over 2 years ago | over 3 years ago | |
| Python | Python | |
| GNU General Public License v3.0 only | MIT License |
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-glass
-
test
(Added Feb. 5, 2021) CLIP-GLaSS.ipynb - Colaboratory by Galatolo. Uses BigGAN (default) or StyleGAN to generate images. The GPT2 config is for image-to-text, not text-to-image. GitHub.
-
Image to text models
After a cursory search I found CLIP-GLaSS and CLIP-cap. I've used CLIP-GLaSS in a previous experiment, but found the captions for digital/CG images quite underwhelming. This is understandable since this is not what the model was trained on, but still I'd like to use a better model.
-
[R] end-to-end image captioning
CLIP-GLaSS
- What CLIP-GLaSS thinks Ancient Egyptian computers would look like
-
Texttoimage 3 Images For Text Photo Of Donald
The images were generated using this notebook.
- CLIP-GLaSS prompt: "Screenshot of a video game from the 1930s"
-
[P] List of sites/programs/projects that use OpenAI's CLIP neural network for steering image/video creation to match a text description
The CLIP-GLaSS project has image-to-text functionality (I haven't tried it.)
-
For educational purposes: Text-to-image (3 runs with no cherry-picking, 6 images each) for text "Photo of a Lamborghini painted purple and red" generated using CLIP-GLaSS. config=StyleGAN2_car_d. save_each=50. generations=1000
Link to notebook.
-
Sharing CLIP magic based on OpenAI's blog post via a bit more accessible YT medium. Lmk what u think 🙈 ❤️
CLIP-GLaSS
-
[R] [P] Generating images from caption and vice versa via CLIP-Guided Generative Latent Space Search. Link to code and Google Colab notebook for project CLIP-GLaSS is in a comment.
Github for CLIP-GLaSS is here.
Colab-deep-daze
-
test
(Added Feb. 24, 2021) Colab-deep-daze - Colaboratory by styler00dollar. Uses SIREN to generate images. I did not get this notebook to work, but your results may vary. GitHub.
-
"Big Sleep", a self-portrait by Big Sleep
That notebook didn't work for me either when I added it to the list on Feb. 24. The notebook file Colab-Deep-Daze.ipynb hasn't changed in about 3 months.
What are some alternatives?
a-PyTorch-Tutorial-to-Image-Captioning - Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
CLIP-Style-Transfer - Doing style transfer with linguistic features using OpenAI's CLIP.
meshed-memory-transformer - Meshed-Memory Transformer for Image Captioning. CVPR 2020
VectorAscent - Generate vector graphics from a textual caption
deep-daze - Simple command line tool for text to image generation using OpenAI's CLIP and Siren (Implicit neural representation network). Technique was originally created by https://twitter.com/advadnoun
Colab-BigGANxCLIP
aphantasia - CLIP + FFT/DWT/RGB = text to image/video
random-colabs
stylized-neural-painting - Official Pytorch implementation of the preprint paper "Stylized Neural Painting", in CVPR 2021.
TediGAN - [CVPR 2021] Pytorch implementation for TediGAN: Text-Guided Diverse Face Image Generation and Manipulation
StyleCLIP - Using CLIP and StyleGAN to generate faces from prompts.