https://github.com/avocardio/diffusedweather
Using Keras' Stable Diffusion for generating city images using coordinates and a live weather API. (Keras Community Prize Winner 2022)
https://github.com/avocardio/diffusedweather
german germany keras stablediffusion tensorflow weather wikidata winner
Last synced: 5 months ago
JSON representation
Using Keras' Stable Diffusion for generating city images using coordinates and a live weather API. (Keras Community Prize Winner 2022)
- Host: GitHub
- URL: https://github.com/avocardio/diffusedweather
- Owner: avocardio
- License: apache-2.0
- Created: 2022-12-29T01:53:26.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2023-02-02T02:03:37.000Z (over 3 years ago)
- Last Synced: 2025-02-26T09:41:53.181Z (over 1 year ago)
- Topics: german, germany, keras, stablediffusion, tensorflow, weather, wikidata, winner
- Language: Jupyter Notebook
- Homepage:
- Size: 1.7 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Diffused Live Weather Cam (24/7) 📍
🏆 Keras Community Prize winner 2022 🏆
Using Keras' Stable Diffusion for generating city images using coordinates and a live weather API.

### a) Either use the [colab notebook](https://colab.research.google.com/drive/1irOU5eVUNFiOXXCkwgEBD4pzcdIbzCBs?usp=sharing)
### b) Or run locally:
#### 1. Clone the repository and navigate to the notebook
```bash
git clone https://github.com/avocardio/diffusedweather.git
```
#### 2. Install the dependencies by executing the cells in the notebook
```bash
!pip install tensorflow
!pip install keras-cv
!pip install pillow
!pip install numpy
!pip install matplotlib
!pip install sparqlwrapper
!pip install cdifflib
!pip install geopandas
!pip install Pillow
```
#### 3. Enter a german city in the last cell & run it:
```bash
prompt, coords, name = create_prompt("Hamburg")
plot(prompt, coords, name)
```
# Credits
We would like to thank [Keras](https://keras.io/) for the [Stable Diffusion](https://keras.io/guides/keras_cv/generate_images_with_stable_diffusion/) implementation and for the [Keras Community Prize](https://discuss.tensorflow.org/t/announcing-the-keras-community-prize-first-edition/13148/15).
By Cornelius Wolff & Maximilian Kalcher