ch train_t2i_adapter_sdxl.py \
  ----gradient_accumulation_steps=4 Many of the basic and important parameters are described in the Text-to-image training guide, so this guide just focuses on the relevant T2I-Adapter parameters: --pretrained_vae_model_name_or_path: path to a pretrained VAE; the SDXL VAE is known to suffer from numerical instability, so this parameter allows you to specify a better VAE --crops_coords_top_left_h and --crops_coords