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36 lines
1.9 KiB
Bash
36 lines
1.9 KiB
Bash
accelerate launch examples/qwen_image/model_training/train.py \
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--dataset_base_path data/example_image_dataset \
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--dataset_metadata_path data/example_image_dataset/metadata_controlnet_upscale.csv \
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--data_file_keys "image,controlnet_image" \
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--max_pixels 1048576 \
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--dataset_repeat 80000 \
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--model_paths '[
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[
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"models/Qwen/Qwen-Image/transformer/diffusion_pytorch_model-00001-of-00009.safetensors",
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"models/Qwen/Qwen-Image/transformer/diffusion_pytorch_model-00002-of-00009.safetensors",
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"models/Qwen/Qwen-Image/transformer/diffusion_pytorch_model-00003-of-00009.safetensors",
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"models/Qwen/Qwen-Image/transformer/diffusion_pytorch_model-00004-of-00009.safetensors",
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"models/Qwen/Qwen-Image/transformer/diffusion_pytorch_model-00005-of-00009.safetensors",
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"models/Qwen/Qwen-Image/transformer/diffusion_pytorch_model-00006-of-00009.safetensors",
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"models/Qwen/Qwen-Image/transformer/diffusion_pytorch_model-00007-of-00009.safetensors",
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"models/Qwen/Qwen-Image/transformer/diffusion_pytorch_model-00008-of-00009.safetensors",
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"models/Qwen/Qwen-Image/transformer/diffusion_pytorch_model-00009-of-00009.safetensors"
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],
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[
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"models/Qwen/Qwen-Image/text_encoder/model-00001-of-00004.safetensors",
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"models/Qwen/Qwen-Image/text_encoder/model-00002-of-00004.safetensors",
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"models/Qwen/Qwen-Image/text_encoder/model-00003-of-00004.safetensors",
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"models/Qwen/Qwen-Image/text_encoder/model-00004-of-00004.safetensors"
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],
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"models/Qwen/Qwen-Image/vae/diffusion_pytorch_model.safetensors",
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"models/controlnet.safetensors"
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]' \
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--learning_rate 1e-5 \
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--num_epochs 1000000 \
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--remove_prefix_in_ckpt "pipe.controlnet.models.0." \
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--output_path "./models/train/Qwen-Image-ControlNet_full" \
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--trainable_models "controlnet" \
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--extra_inputs "controlnet_image" \
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--use_gradient_checkpointing \
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--save_steps 100
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