training examples, it is required to clone the repository:   Copied git clone https://github.com/huggingface/diffusers as well as to install all additional dependencies required for training:   Copied pip install -r /examples/<your-example-folder>/requirements.txt Therefore when adding an example, the requirements.txt file shall define all pip dependencies required for your training example so that once all those are installed, the user can run the example’s training script. See, for example, the DreamBooth requirements.txt file. Training examples of the Diffusers library should adhere to the following philosophy: All the code necessary to run the examples should be found in a single Python file. One should be able to run the example from the command line with python <your-example>.py --args. Examples should be kept simple and serve as an example on how to use Diffusers for training. The purpose of example scripts is not to create state-of-the-art diffusion models, but rather to reproduce known training schemes without adding too much custom logic. As a byproduct of this point, our examples also strive to serve as good educational materials. To contribute an example, it is highly recommended to look at already existing examples such as dreambooth to get an idea of how they should look like.