Train ControlNet with diffusers on FaceSynthetics dataset

AI Impact Summary

This guide details training a ControlNet model using the diffusers library and the FaceSynthetics dataset, enabling users to control Stable Diffusion through conditions like facial landmarks. The process involves planning a conditioning strategy, building a dataset with ground truth images, conditioning images, and captions, and then training the model using the diffusers training script. The resulting model, dubbed Uncanny Faces, demonstrates the potential for unexpected outcomes when training on synthetic data, highlighting the importance of dataset selection and experimentation.