) Set the environment variable MODEL_NAME to a model id on the Hub or a path to a local model, and DATA_DIR  to the path where you just downloaded the cat images to. The script creates and saves the following files to your repository: learned_embeds.bin: the learned embedding vectors corresponding to your example images token_identifier.txt: the special placeholder token type_of_concept.txt: the type of concept you’re training on (either “object” or “style”) A full training run takes ~1 hour on a single V100 GPU. One more thing before you launch the script. If you’re interested in following along with the training process, you can periodically save generated images as training progresses. Add the following parameters to the training command:   Copied --validation_prompt="A <cat-toy> train"