| accelerate launch examples/flux/model_training/train.py \ | |
| --dataset_base_path data/example_image_dataset \ | |
| --dataset_metadata_path data/example_image_dataset/metadata_eligen.json \ | |
| --data_file_keys "image,eligen_entity_masks" \ | |
| --max_pixels 1048576 \ | |
| --dataset_repeat 50 \ | |
| --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" \ | |
| --learning_rate 1e-4 \ | |
| --num_epochs 5 \ | |
| --remove_prefix_in_ckpt "pipe.dit." \ | |
| --output_path "./models/train/FLUX.1-dev-EliGen_lora" \ | |
| --lora_base_model "dit" \ | |
| --lora_target_modules "a_to_qkv,b_to_qkv,ff_a.0,ff_a.2,ff_b.0,ff_b.2,a_to_out,b_to_out,proj_out,norm.linear,norm1_a.linear,norm1_b.linear,to_qkv_mlp" \ | |
| --lora_rank 32 \ | |
| --align_to_opensource_format \ | |
| --extra_inputs "eligen_entity_masks,eligen_entity_prompts" \ | |
| --use_gradient_checkpointing | |