metadata
tags:
- Keras
- gan
- tensorflow
- conditional-image-generation
rasm
Arabic art using GANs. We currently have two models for generating calligraphy and mosaics.
Notebooks
| Name | Notebook |
|---|---|
| Visualization |
|
Visualization
A set of functions for vis, interpolation and animation. Mostly tested in colab notebooks.
Load Model
from rasm import Rasm
model = Rasm(mode = 'calligraphy')
model = Rasm(mode = 'mosaics')
Generate random
model.generate_randomly()
Generate grid
model.generate_grid()
Generate animation
model.generate_animation(size = 2, steps = 20)
Sample Models
Mosaics
Calligraphy
References
- Gan-surgery: https://github.com/aydao/stylegan2-surgery
- WikiArt model: https://github.com/pbaylies/stylegan2
- Starter-Notebook: https://github.com/Hephyrius/Stylegan2-Ada-Google-Colab-Starter-Notebook/