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19 lines
1.0 KiB
Bash
19 lines
1.0 KiB
Bash
# Example Dataset: https://modelscope.cn/datasets/DiffSynth-Studio/example_image_dataset/tree/master/layer
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accelerate launch --config_file examples/qwen_image/model_training/full/accelerate_config_zero2offload.yaml examples/qwen_image/model_training/train.py \
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--dataset_base_path data/example_image_dataset/layer \
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--dataset_metadata_path data/example_image_dataset/layer/metadata_layered.json \
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--data_file_keys "image,layer_input_image" \
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--max_pixels 1048576 \
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--dataset_repeat 50 \
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--model_id_with_origin_paths "Qwen/Qwen-Image-Layered:transformer/diffusion_pytorch_model*.safetensors,Qwen/Qwen-Image:text_encoder/model*.safetensors,Qwen/Qwen-Image-Layered:vae/diffusion_pytorch_model.safetensors" \
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--learning_rate 1e-5 \
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--num_epochs 2 \
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--remove_prefix_in_ckpt "pipe.dit." \
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--output_path "./models/train/Qwen-Image-Layered_full" \
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--trainable_models "dit" \
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--extra_inputs "layer_num,layer_input_image" \
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--use_gradient_checkpointing \
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--dataset_num_workers 8 \
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--find_unused_parameters
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