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accelerate launch --config_file examples/flux/model_training/full/accelerate_config.yaml examples/flux/model_training/train.py \
--dataset_base_path data/example_image_dataset \
--dataset_metadata_path data/example_image_dataset/metadata_controlnet_inpaint.csv \
--data_file_keys "image,controlnet_image,controlnet_inpaint_mask" \
--max_pixels 1048576 \
--dataset_repeat 400 \
--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,alimama-creative/FLUX.1-dev-Controlnet-Inpainting-Beta:diffusion_pytorch_model.safetensors" \
--learning_rate 1e-5 \
--num_epochs 1 \
--remove_prefix_in_ckpt "pipe.controlnet.models.0." \
--output_path "./models/train/FLUX.1-dev-Controlnet-Inpainting-Beta_full" \
--trainable_models "controlnet" \
--extra_inputs "controlnet_image,controlnet_inpaint_mask" \
--use_gradient_checkpointing
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