T2I-Adapter T2I-Adapter is a lightweight adapter model that provides an additional conditioning input image (line art, canny, sketch, depth, pose) to better control image generation. It is similar to a ControlNet, but it is a lot smaller (~77M parameters and ~300MB file size) because its only inserts weights into the UNet instead of copying and training it. The T2I-Adapter is only available for training with the Stable Diffusion XL (SDXL) model. This guide will explore the train_t2i_adapter_sdxl.py training script to help you become familiar with it, and how you can adapt it for your own use-case. Before running the script, make sure you install the library from source:   Copied git clone https://github.com/huggingface/diffusers