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20 lines
1.0 KiB
Bash
20 lines
1.0 KiB
Bash
export PYTORCH_NPU_ALLOC_CONF=expandable_segments:True
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export CPU_AFFINITY_CONF=1
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modelscope download --dataset DiffSynth-Studio/diffsynth_example_dataset --include "z_image/Z-Image-Turbo/*" --local_dir ./data/diffsynth_example_dataset
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accelerate launch --config_file examples/z_image/model_training/full/accelerate_config.yaml examples/z_image/model_training/train.py \
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--dataset_base_path data/diffsynth_example_dataset/z_image/Z-Image-Turbo \
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--dataset_metadata_path data/diffsynth_example_dataset/z_image/Z-Image-Turbo/metadata.csv \
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--max_pixels 1048576 \
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--dataset_repeat 400 \
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--model_id_with_origin_paths "Tongyi-MAI/Z-Image-Turbo:transformer/*.safetensors,Tongyi-MAI/Z-Image-Turbo:text_encoder/*.safetensors,Tongyi-MAI/Z-Image-Turbo: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/Z-Image-Turbo_full" \
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--trainable_models "dit" \
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--use_gradient_checkpointing \
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--dataset_num_workers 8 \
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--enable_npu_patch
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