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Clone the repository and navigate to the notebook\n```bash\ngit clone https://github.com/avocardio/diffusedweather.git\n```\n#### 2. Install the dependencies by executing the cells in the notebook \n```bash\n!pip install tensorflow\n!pip install keras-cv\n!pip install pillow\n!pip install numpy\n!pip install matplotlib\n!pip install sparqlwrapper\n!pip install cdifflib\n!pip install geopandas\n!pip install Pillow\n```\n#### 3. Enter a german city in the last cell \u0026 run it: \n```bash\nprompt, coords, name = create_prompt(\"Hamburg\")\n\nplot(prompt, coords, name)\n```\n\n# Credits\nWe 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).\n\nBy Cornelius Wolff \u0026 Maximilian Kalcher\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Favocardio%2Fdiffusedweather","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Favocardio%2Fdiffusedweather","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Favocardio%2Fdiffusedweather/lists"}