| accelerate launch examples/flux/model_training/train.py \ | |
| --dataset_base_path data/example_image_dataset \ | |
| --dataset_metadata_path data/example_image_dataset/metadata_lora_encoder.csv \ | |
| --data_file_keys "image" \ | |
| --max_pixels 1048576 \ | |
| --dataset_repeat 100 \ | |
| --model_id_with_origin_paths "black-forest-labs/FLUX.1-dev:flux1-dev.safetensors,black-forest-labs/FLUX.1-dev:text_encoder/model.safetensors,black-forest-labs/FLUX.1-dev:text_encoder_2/,black-forest-labs/FLUX.1-dev:ae.safetensors,DiffSynth-Studio/LoRA-Encoder-FLUX.1-Dev:model.safetensors" \ | |
| --learning_rate 1e-5 \ | |
| --num_epochs 1 \ | |
| --remove_prefix_in_ckpt "pipe.lora_encoder." \ | |
| --output_path "./models/train/FLUX.1-dev-LoRA-Encoder_full" \ | |
| --trainable_models "lora_encoder" \ | |
| --extra_inputs "lora_encoder_inputs" \ | |
| --use_gradient_checkpointing | |