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support z-image and z-image-i2L

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Artiprocher
2026-01-27 10:56:15 +08:00
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examples/z_image/model_training/full/Z-Image.sh Normal file
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# This example is tested on 8*A100
accelerate launch --config_file examples/z_image/model_training/full/accelerate_config.yaml examples/z_image/model_training/train.py \
--dataset_base_path data/example_image_dataset \
--dataset_metadata_path data/example_image_dataset/metadata.csv \
--max_pixels 1048576 \
--dataset_repeat 400 \
--model_id_with_origin_paths "Tongyi-MAI/Z-Image:transformer/*.safetensors,Tongyi-MAI/Z-Image-Turbo:text_encoder/*.safetensors,Tongyi-MAI/Z-Image-Turbo:vae/diffusion_pytorch_model.safetensors" \
--learning_rate 1e-5 \
--num_epochs 2 \
--remove_prefix_in_ckpt "pipe.dit." \
--output_path "./models/train/Z-Image_full" \
--trainable_models "dit" \
--use_gradient_checkpointing \
--dataset_num_workers 8