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export MODEL_NAME="models/Diffusion_Transformer/Z-Image-Turbo"
export DATASET_NAME="datasets/internal_datasets/"
export DATASET_META_NAME="datasets/internal_datasets/metadata.json"
# NCCL_IB_DISABLE=1 and NCCL_P2P_DISABLE=1 are used in multi nodes without RDMA.
# export NCCL_IB_DISABLE=1
# export NCCL_P2P_DISABLE=1
NCCL_DEBUG=INFO
accelerate launch --mixed_precision="bf16" scripts/z_image/train_lora.py \
--pretrained_model_name_or_path=$MODEL_NAME \
--train_data_dir=$DATASET_NAME \
--train_data_meta=$DATASET_META_NAME \
--train_batch_size=1 \
--image_sample_size=1328 \
--gradient_accumulation_steps=1 \
--dataloader_num_workers=8 \
--num_train_epochs=1000 \
--checkpointing_steps=50 \
--learning_rate=1e-04 \
--seed=42 \
--output_dir="output_dir_z_image_lora" \
--gradient_checkpointing \
--mixed_precision="bf16" \
--adam_weight_decay=3e-2 \
--adam_epsilon=1e-10 \
--vae_mini_batch=1 \
--max_grad_norm=0.05 \
--enable_bucket \
--rank=64 \
--network_alpha=64 \
--target_name="to_q,to_k,to_v,ff.0,ff.2,ff_context.0,ff_context.2" \
--use_peft_lora \
--uniform_sampling |