| ## Textual Inversion fine-tuning example for SDXL | |
| ```sh | |
| export MODEL_NAME="stabilityai/stable-diffusion-xl-base-1.0" | |
| export DATA_DIR="./cat" | |
| accelerate launch textual_inversion_sdxl.py \ | |
| --pretrained_model_name_or_path=$MODEL_NAME \ | |
| --train_data_dir=$DATA_DIR \ | |
| --learnable_property="object" \ | |
| --placeholder_token="<cat-toy>" \ | |
| --initializer_token="toy" \ | |
| --mixed_precision="bf16" \ | |
| --resolution=768 \ | |
| --train_batch_size=1 \ | |
| --gradient_accumulation_steps=4 \ | |
| --max_train_steps=500 \ | |
| --learning_rate=5.0e-04 \ | |
| --scale_lr \ | |
| --lr_scheduler="constant" \ | |
| --lr_warmup_steps=0 \ | |
| --save_as_full_pipeline \ | |
| --output_dir="./textual_inversion_cat_sdxl" | |
| ``` | |
| For now, only training of the first text encoder is supported. |